JP6018538B2 - Information processing apparatus, information processing method, and program - Google Patents

Description

  The present invention relates to an information processing apparatus that supports migration.

  Conventionally, as a technique for automatically converting a source program, there has been a technique for automatically detecting differences in descriptions that occur and automatically correcting or listing them to improve development work (see, for example, Patent Document 1). This technology parses a source program written in C language, creates a database and an intermediate file for each token, deletes / changes the target character string on the database, and stores information on the database and the intermediate file. The program is generated in a C language file and a target program is generated.

Japanese Patent Laid-Open No. 2002-41286 (first page, FIG. 1 etc.)

  However, the conventional technique has a problem that it is not possible to appropriately grasp the appearance of error patterns that occur when a source program is converted into a new source program by automatic conversion.

  For example, when the specification of the language used for the source program is changed, or when the source program is changed to be executable in another environment such as an OS, the source program before the change is changed to the environment after the change. It is necessary to convert to a corresponding source program. Such conversion is usually called migration. As software to support such conversion, a source program is automatically converted into a language source program after conversion, and an error occurs at a location where an error such as a grammatical error occurs in the converted source program. There is known an automatic conversion tool that outputs information indicating the above.

  However, since such an automatic conversion tool outputs information indicating that an error occurs at a location where an error occurs in the source program, what type of error is included in the source program after automatic conversion. It is difficult for the user who converts the source program to easily and accurately grasp the appearance of the error pattern such as For this reason, the user cannot accurately estimate man-hours and the like necessary for correcting the source program after automatic conversion and cannot make a plan, and the source program cannot be corrected efficiently. there were. Also, when correcting a source program, it is possible to improve the efficiency of error correction by creating a correction program etc. and correcting it at once for errors that occur frequently. There is a problem that it is not possible to determine whether or not it is preferable to take such a method when it is not possible to properly grasp the number of the like.

  An information processing apparatus of the present invention is an information processing apparatus that supports migration for converting a source program before conversion and creating a new source program, and provides the conversion tool with a source before conversion that is a source program before conversion. An error pattern information storage unit that stores one or more error pattern information that is a pattern of information related to an error when started, and post-conversion information that is output when the conversion tool is started by supplying a source before conversion are stored. A post-conversion information storage unit, an error information acquisition unit that acquires one or more error information that is information related to an error from post-conversion information stored in the post-conversion information storage unit, and an error pattern information storage unit. The error information corresponding to one or more pieces of error information acquired by the error information acquisition unit using one or more pieces of error pattern information. An error pattern determining unit that determines pattern information, an appearance number acquiring unit that acquires the number of occurrences of each error pattern information of the error pattern information determined by the error pattern determining unit, and error pattern information acquired by the appearance number acquiring unit The information processing apparatus includes an appearance number output unit that outputs the number of appearances for each.

  With this configuration, the number of times error information corresponding to each error pattern information in the post-conversion information can be obtained for each error pattern information, and the appearance status of error patterns that occur in the automatically converted source program can be properly grasped. can do.

  In the information processing apparatus of the present invention, in the information processing apparatus, information relating to error information determined by the error pattern determination unit as not corresponding to any error pattern information stored in the error pattern information storage unit is updated. As the error pattern information, the information processing apparatus further includes an error pattern information registration unit that accumulates in an error pattern information storage unit.

  With this configuration, new error pattern information corresponding to error information that does not correspond to the error pattern information stored in the error pattern information storage unit can be registered.

  In the information processing apparatus according to the present invention, in the information processing apparatus, the error pattern information storage unit further includes aggregate information for specifying two or more pieces of error pattern information to be aggregated into one error pattern information. The determination unit determines error pattern information corresponding to each of the one or more pieces of error information acquired by the error information acquisition unit, using the one or more pieces of error pattern information and the aggregate information stored in the error pattern information storage unit. Information processing apparatus.

  With this configuration, the number of appearances of two or more error pattern information specified by the aggregate information can be aggregated into the number of occurrences of one error pattern information. Thereby, for example, the number of appearances of a plurality of errors that can be corrected with one correction tool or the like can be acquired as the number of appearances of one error pattern.

  In the information processing apparatus of the present invention, in the information processing apparatus, the error pattern information storage unit stores one or more pieces of error pattern information divided into groups, and the appearance count output unit includes each group and error pattern. This is an information processing apparatus that outputs the number of appearances acquired by the appearance number acquisition unit for each piece of information.

  With this configuration, the number of appearances of error pattern information can be grasped for each group and each error pattern information.

  Moreover, in the information processing apparatus of the present invention, in the information processing apparatus, the appearance count acquisition unit further counts the number of appearances acquired by the appearance count acquisition unit for each group, and the appearance count output unit calculates the total result for each group Is an information processing apparatus that outputs.

  With this configuration, the number of occurrences of error pattern information in units of groups can be grasped.

  According to the information processing apparatus and the like according to the present invention, it is possible to appropriately grasp the appearance status of an error pattern that occurs in an automatically converted source program.

Block diagram of an information processing apparatus in an embodiment of the present invention Flow chart for explaining the operation of the information processing apparatus The figure which shows the error pattern management information of the information processing apparatus The figure which shows the group management information of the information processing apparatus The figure which shows the consolidated information management information of the same information processing apparatus Diagram showing an example of the source before conversion The figure which shows an example of the information after conversion of the information processing apparatus The figure which shows the pattern total information of the same information processing device The figure which shows the pattern total information of the same information processing device The figure which shows the group frequency management information of the same information processing apparatus The figure which shows the output example of the frequency | count of appearance of the error pattern information of the same information processing apparatus The figure which shows an example of the external appearance of the computer system in embodiment of this invention Diagram showing an example of the same configuration

  Hereinafter, embodiments of an information processing apparatus and the like will be described with reference to the drawings. In addition, since the component which attached | subjected the same code | symbol in embodiment performs the same operation | movement, description may be abbreviate | omitted again.

(Embodiment)
FIG. 1 is a block diagram of an information processing apparatus 1 in the present embodiment. The information processing apparatus 1 includes an error pattern information storage unit 11, a post-conversion information storage unit 12, an error information acquisition unit 13, an error pattern determination unit 14, an appearance count acquisition unit 15, an appearance count output unit 16, and an error pattern information registration unit 17. Is provided.

  The error pattern information storage unit 11 stores one or more error pattern information. The error pattern information is a pattern of information relating to an error when the conversion tool, which is a source program before conversion, is started by giving the conversion tool. A source program is a program written according to the specification of a programming language. The source program is also called source code. Any programming language can be used for the source program. The source program is a source program described in, for example, visual basic (registered trademark) language, COBOL language, C language, Perl language, JAVA (registered trademark) language, or the like. The conversion tool is, for example, a tool that automatically converts one source program into another source program. The conversion tool is, for example, a tool for automatically changing a source before conversion into a source program of a programming language having a different specification from the programming language used for the source before conversion. The conversion tool is provided as software, for example. Programming languages with different specifications are programming languages with different languages. Programming languages with different specifications are, for example, concepts including programming languages with different versions. The information about the error when the conversion source is started by giving the source before conversion is, for example, the information about the error output when one conversion tool converts the source before conversion. The conversion tool normally outputs information about an error in the converted source program. However, the conversion tool may output the information about the error as information such as another file outside the converted source program. Since the conversion tool is a known technique, a detailed description thereof is omitted here.

  Here, the information regarding the error is referred to as error information. The error here is, for example, a defect that occurs in the converted source program due to the failure of the conversion tool to properly convert the source before conversion in the converted source program. For example, an error means that a malfunction that occurs due to a grammatical error caused by conversion by the conversion tool, or that the same operation or function as the operation or function in the source program before conversion cannot be realized. The error information is information indicating that an error occurs, for example. The error information is information indicating the content of the error, for example. The error information is information indicating a location that is an error target in the source before conversion. The information indicating the location that is the target of the error may be, for example, information indicating the character string that is the target of the error in the source before conversion, or information that indicates the line number that is the target of the error, etc. Also good. The error information may be output in association with a location corresponding to the error in the converted source program. For example, the error information may include information indicating a location corresponding to the error. The error information may include information indicating an error attribute, a classification, and the like. The error information may have an error identifier. The error information may include, for example, two or more of the above information. The error information is usually information such as an error message indicated in a natural language, but may not be indicated in a natural language. The error information may include an error code, a variable name of a location corresponding to the error, and the like.

  The error pattern information is error information pattern information. In the error pattern information storage unit 11, for example, error pattern information respectively corresponding to one or more error information that can be output by a conversion tool (not shown) used for conversion of the source program is stored in advance. The error pattern information is, for example, a pattern including a character string and a variable. For example, the error pattern information may match the error information. The match here may be a complete match or a partial match. For example, the error pattern information may be information in which the portion of the error information excluding the information indicating the error information completely matches. Further, the error pattern information may be information obtained by regularizing at least a part of the error information. A regular expression is, for example, a set of character strings represented by a single character string. The regular expression is, for example, a character string that has been patterned using character attributes, special characters representing the number of characters, and the like. Character attributes are attributes such as uppercase and lowercase characters, attributes such as Japanese and English, and attributes such as numbers and katakana. Regular expression may be thought of as converting a character string into a so-called wild card. The part of the error information to be converted into a regular expression is, for example, a variable name or a data name to be referred to in the error information. The error pattern information storage unit 11 preferably stores, for example, error pattern information corresponding to all error information that can be output by the conversion tool described above. The error pattern information may be stored in the error pattern information storage unit 11 in association with an identifier for identifying the error pattern information.

  The error pattern information storage unit 11 may store one or more pieces of error pattern information in groups. The grouping here is, for example, grouping according to the attribute of the error pattern information. The grouping according to the attribute is, for example, grouping for each error type indicated by the error pattern information, or grouping according to the importance or severity of the error. Further, this grouping may be grouping for each error countermeasure or for each correction tool (not shown) used for correcting the error. The correction tool is a tool for correcting an error in the converted source program, and is usually provided by a program. Further, one error pattern information stored in the error pattern information storage unit 11 may be grouped so as to belong to a plurality of groups. The fact that each error pattern information stored in the error pattern information storage unit 11 is grouped may mean that each error pattern information is classified and stored for each group to which the error pattern information belongs. . The fact that each error pattern information is grouped may mean that the error pattern identifier of each error pattern information is classified and managed for each group to which each error pattern information belongs. Moreover, the fact that each error pattern information is grouped may mean that each error pattern information is associated with a group identifier that is an identifier of a group to which each error pattern information belongs.

  The error pattern information storage unit 11 may further store one or more pieces of aggregate information. Aggregation information is information specifying two or more error pattern information aggregated into one error pattern information, for example. Each aggregate information includes, for example, two or more error pattern information to be aggregated to be aggregated into one error pattern information or an error pattern information identifier thereof, and one error pattern information to be an aggregation destination of these error pattern information or Information having the error pattern identifier. The error pattern information of the aggregation destination may be error pattern information stored in the error pattern information storage unit 11 or other error pattern information. Instead of the error pattern information of the aggregation destination, each aggregate information may further have an aggregate information identifier that is an identifier of the aggregate information. When the aggregate information has an aggregate information identifier, the error pattern information of the aggregation destination may be omitted. The two or more error pattern information aggregated by the aggregate information is preferably two or more error pattern information respectively indicating errors that can be corrected by the same correction tool or the like. The two or more error pattern information to be aggregated and the error pattern information of the aggregation destination that are aggregated by the aggregate information are preferably error pattern information that belongs to one group. In the following, a case where the aggregate information is information having two or more error pattern information to be aggregated or its error pattern information identifier and one error pattern information to be an aggregation destination or its error pattern identifier. An example will be described.

  The error pattern information storage unit 11 is preferably a non-volatile recording medium, but can also be realized by a volatile recording medium. The same applies to other storage units.

  The post-conversion information storage unit 12 stores post-conversion information. The post-conversion information is output when the pre-conversion source is given to the conversion tool and started. The post-conversion information is information having a source program after conversion of the source before conversion by the conversion tool, for example. The post-conversion information may include error information acquired when the conversion tool performs conversion. For example, the post-conversion information is information obtained by adding error information or the like to the source program after conversion. For example, the error information is arranged at a location related to the error in the converted source program, specifically at a location where an error occurs. Further, it is preferable that the error information is, for example, error information, and is arranged in a manner that can be identified with respect to other source program parts. For example, a character string specified in advance such as “error location:” or information specifying an error location such as a character or control symbol specified in advance is arranged at the beginning, the end, or both ends of the error information. It is preferable. The predesignated characters are preferably characters (including symbols) that are not used in the programming language. Information for specifying a location where error information is arranged in the source program is referred to herein as error location specifying information. For example, the error location specifying information and the information indicating the positional relationship between the error locations may be stored in advance in a storage unit (not shown) or the error information acquisition unit 13 described later. The post-conversion information is information composed of text, for example. The error information may not be arranged in the converted source program. For example, the error information may be stored in the post-conversion information storage unit 12 in association with the post-conversion source program, such as a file different from the post-conversion source program. In this case, the post-conversion information may be considered as information having a source program after conversion and an error information file.

  The process in which the post-conversion information is stored in the post-conversion information storage unit 12 does not matter. For example, post-conversion information output by converting a pre-conversion source by a conversion tool (not shown) may be stored in the post-conversion information storage unit 12 via a recording medium, a communication line, or the like. In this case, the information processing apparatus 1 may include a receiving unit for receiving post-conversion information, a receiving unit for receiving post-conversion information, and the like. Further, when a conversion tool (not shown), a storage unit (not shown) in which a source before conversion to be converted is stored, etc. are provided in the information processing apparatus 1, the conversion tool or the like The post-conversion information to be output may be accumulated in the post-conversion information storage unit 12. The storage here may be considered to include temporary storage.

  The error information acquisition unit 13 acquires one or more error information from the post-conversion information stored in the post-conversion information storage unit 12. It does not matter how the error information acquisition unit 13 acquires error information from the post-conversion information. The error information acquisition unit 13 acquires error information using, for example, error location specifying information.

  For example, the error information acquisition unit 13 sequentially searches the above-described error location specifying information in the post-conversion information, and acquires a character string having a positional relationship designated in advance with respect to the detected error specifying information as error information. For example, it is assumed that the conversion tool adds a character string “WARNING:” to the beginning of each error information, adds a line feed code to the end, and arranges each error information in the converted information. In this case, for example, the error information acquisition unit 13 sequentially detects lines starting with the error location specifying information “WARNING:” in the post-conversion information, and converts the character string after “WARNING:” in the detected line into the error information. Get sequentially as. The line here is, for example, a character string delimited by a line feed code. Alternatively, the error information acquisition unit 13 may acquire, for example, a character string after “WARNING:” until “.” (Punctuation) appears as error information.

  Also, for example, in the post-conversion information output by the conversion tool, it is assumed that the error information is arranged between two pieces of error specifying information “<?” And “?>”. In this case, the error information acquisition unit 13 searches for the first error specifying information “<?”, And then the second error specifying information “?>” From the character string immediately after the detected error specifying information. A character string up to immediately before appears may be sequentially acquired as error information. If the error information exists as a separate file from the converted source program, the error information may be read sequentially from the error information file.

  The error information acquisition unit 13 can usually be realized by an MPU, a memory, or the like. The processing procedure of the error information acquisition unit 13 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

  The error pattern determination unit 14 determines error pattern information corresponding to one or more pieces of error information acquired by the error information acquisition unit 13. The error pattern determination unit 14 determines error pattern information corresponding to each error information by using one or more error pattern information stored in the error pattern information storage unit 11. The error pattern determination unit 14 compares, for example, a character string of each error information acquired by the error information acquisition unit 13 and a character string of error pattern information stored in the error pattern information storage unit 11 to obtain each error information. Detect error pattern information that matches. The match here is usually a complete match. However, the match here may be a partial match. For example, the error pattern determination unit 14 performs pattern matching between each error information acquired by the error information acquisition unit 13 and error pattern information stored in the error pattern information storage unit 11, and matches an error pattern that matches each error information. Detect information. Here, the term “match” usually means that the pattern is completely matched, but if the matching rate is equal to or higher than a predetermined threshold (for example, 90% or higher), it is determined that the pattern matches. Also good. For example, when the error pattern information has a regular expression, pattern matching is used to detect error pattern information corresponding to the error information. Note that the pattern matching here may be, for example, a process of determining whether or not portions other than variables match.

  For example, the error pattern determination unit 14 reads one piece of error pattern information from the error pattern information storage unit 11. Then, it is determined whether or not the error pattern information includes a regular expression. If the regular expression is not included, it is determined whether or not the one error information acquired by the error information acquisition unit 13 matches the read error pattern information. It is determined as error pattern information corresponding to the information. When the regular expression is included, the error pattern determination unit 14 performs pattern matching including, for example, the regular expression. When the pattern is completely matched, this error pattern information corresponds to one error information. Determined as error pattern information.

  An example of pattern matching of error pattern information will be briefly described below. It is assumed that one error pattern information includes, for example, k-1 regular expressions individually between k (k is an integer of 2 or more) character strings. In this case, the error pattern determination unit 14 includes the character strings that match the k character strings of the one error pattern information in the error pattern information in the order in which the error pattern information is included. Determine whether it is included. The match here is usually an exact match. If all are not included in order, it is determined that the error pattern information does not match. When all are included in order, the error pattern determination unit 14 determines that each character string arranged between the character strings determined to match in the error information is k−1 normal values of the error pattern information. In the expression, it is determined whether or not the character string corresponds to each regular expression having the same arrangement order. The determination as to whether the character string is a corresponding character string is made, for example, based on whether the character string has an attribute or the like indicated by the regular expression. If all the character strings are character strings corresponding to regular expressions in the same arrangement order, this one error pattern information is determined as error pattern information that matches the one error information. If the character strings do not correspond to the regular expressions having the same arrangement order, the error pattern determination unit 14 determines that the error pattern information does not match.

  Note that the pattern matching process here is an example, and any pattern matching process may be used for pattern matching between error information and error pattern information. Further, the determination process of whether or not the error information and the error pattern information performed by the error pattern determination unit 14 may be considered as one form of pattern matching, for example, pattern matching that does not use a regular expression.

  The error pattern determination unit 14 uses the one or more error pattern information stored in the error pattern information storage unit 11 and the aggregate information, and corresponds to one or more pieces of error information acquired by the error information acquisition unit 13 The pattern information may be determined. Determining error pattern information using aggregate information specifically means determining, using aggregate information, one error pattern information that is an aggregation destination of error pattern information to which each error information corresponds. You may think.

  For example, the error pattern determination unit 14 uses the one or more error pattern information stored in the error pattern information storage unit 11 and uses the error pattern information corresponding to one or more pieces of error information acquired by the error information acquisition unit 13. To decide. Then, the error pattern determination unit 14 detects one piece of aggregate information having this error pattern information as error pattern information to be aggregated. Then, the error pattern information that the detected aggregation information has as the error pattern information of the aggregation destination is determined as error pattern information corresponding to one or more pieces of error information acquired by the error information acquisition unit 13. Thereby, error information corresponding to two or more error pattern information indicated by one aggregate information can be determined as error information corresponding to one error pattern information indicated by the aggregate information as an aggregation destination.

  The error pattern determination unit 14 further detects error information that does not correspond to any error pattern information stored in the error pattern information storage unit 11 for one or more pieces of error information acquired by the error information acquisition unit 13. May be.

  The appearance number acquisition unit 15 acquires the number of appearances of the error pattern information determined by the error pattern determination unit 14. Here, in particular, the appearance count acquisition unit 15 acquires the appearance count for each piece of error pattern information. For example, each time the error pattern determination unit 14 detects one piece of error pattern information, the appearance number acquisition unit 15 increments the value of the number of appearances of the detected error pattern information by one. That is, the appearance count acquisition unit 15 counts the number of appearances of the detected error pattern information.

  The appearance count acquisition unit 15 may further acquire the number of appearances of the error pattern information for each group. That is, the appearance count acquisition unit 15 may acquire the number of appearances of error pattern information in units of groups. For example, the appearance count acquisition unit 15 aggregates the number of appearances for each error pattern information acquired above for each group to which the error pattern information belongs. For example, each time the error pattern determination unit 14 detects one piece of error pattern information, the appearance number acquisition unit 15 increments the value of the number of appearances of the group corresponding to the detected error pattern information by one, The number of appearances of the error pattern information belonging to may be counted as the number of occurrences of the group.

  When the error pattern determination unit 14 determines error pattern information aggregated by one or more pieces of aggregate information, the appearance count acquisition unit 15 acquires the number of appearances for the error pattern information aggregated by each aggregate information. May be. In this case, for each error pattern information before aggregation, the number of appearances is not usually acquired, but the number of appearances may be acquired. For example, when error pattern information to be aggregated is determined in one aggregated information, the appearance count acquisition unit 15 counts up the number of appearances of the error pattern information specified by the aggregate information as the aggregate destination. . In addition, the appearance count acquisition unit 15 may acquire a value obtained by totaling the appearance counts of two or more error pattern information to be aggregated by the aggregate information as the occurrence count of the error pattern information of the aggregation destination. good.

  The appearance number output unit 16 outputs the number of appearances for each error pattern information acquired by the appearance number acquisition unit 15. The appearance number output unit 16 may output the number of appearances acquired by the appearance number acquisition unit 15 for each group and each error pattern information. Outputting the number of appearances for each group and each error pattern information may be considered as, for example, classifying or sorting each error pattern information for each group to which each error pattern information belongs. The appearance count output unit 16 may output the total number of appearances for each error pattern information belonging to each group for each group. Further, the appearance count output unit 16 may output a count result of the appearance counts for the error pattern information aggregated by the aggregate information. In this case, the appearance count output unit 16 may output the number of appearances of the error pattern information before aggregation, or may not output it. The output of the number of appearances here may be to output the number of appearances as it is, or to output a value obtained by indexing the number of appearances. The output of the number of appearances may be output of information indicating a range to which the value of the number of appearances belongs.

  Output here means display on a display, projection using a projector, printing on a printer, transmission to an external device, storage on a recording medium, processing results to other processing devices or other programs, etc. It is a concept that includes delivery.

  The appearance count output unit 16 may or may not include an output device such as a display or a printer. The appearance count output unit 16 can be realized by driver software of an output device, driver software of an output device and an output device, or the like.

  The error pattern information registration unit 17 uses, as new error pattern information, information related to error information that the error pattern determination unit 14 determines to not correspond to any error pattern information stored in the error pattern information storage unit 11 Accumulate in the pattern information storage unit 11. The accumulation here is, for example, additional writing of error pattern information. The information relating to the error information here may be error information itself, or information obtained by adding a character string or the like designated in advance to the error information. Further, the information related to the error information here may be a part of the error information that is converted into a regular expression by the error pattern information registration unit 17 according to a rule designated in advance. For example, the error pattern information registration unit 17 detects two or more consecutive character strings expressed in alphabets of error information, and accumulates error pattern information in which this part is replaced with a regular expression representing two or more alphabets. May be. Alternatively, a character string that matches one of a group of pre-registered character strings is detected from the error information, and the detected character string is replaced with a regular expression associated with the group of character strings. Error pattern information may be accumulated.

  Next, the operation of the information processing apparatus 1 will be described using the flowchart of FIG. Here, in the error pattern information storage unit 11, error pattern information corresponding to the error information output by the conversion tool used when acquiring the post-conversion information stored in the post-conversion information storage unit 12 is stored in advance. Assume that it is stored.

  (Step S <b> 101) The information processing apparatus 1 performs post-conversion that is a target of processing for detecting error pattern information among post-conversion information stored in the post-conversion information storage unit 12 via a reception unit (not illustrated). It is determined whether or not information specifying information has been received. If accepted, the process proceeds to step S102. If not accepted, the process returns to step S101.

  (Step S102) The appearance count acquisition unit 15 sets the value of the number of appearances for each error pattern information stored in the error pattern information storage unit 11 to “0”. This process may be considered to reset the value of the number of appearances.

  (Step S103) The error information acquisition unit 13 substitutes 1 for the value of the counter m.

  (Step S104) The error information acquisition unit 13 performs a process of detecting the mth error information from the post-conversion information specified in Step S101, and determines whether or not the mth error information has been detected. If it can be detected, the process proceeds to step S105, and if it cannot be detected, the process proceeds to step S118.

  (Step S105) The error pattern determination unit 14 substitutes 1 for the value of the counter n.

  (Step S106) The error pattern determination unit 14 determines whether or not the nth error pattern information is stored in the error pattern information storage unit 11. If stored, the process proceeds to step S107, and if not stored, the process proceeds to step S113.

  (Step S107) The error pattern determination unit 14 reads n-th error pattern information.

  (Step S108) The error pattern determination unit 14 determines whether a regular expression is included in the nth error pattern information. If included, the process proceeds to step S109. If not included, the process proceeds to step S114.

  (Step S109) The error pattern determination unit 14 determines whether or not the nth error pattern information matches the mth error information. If they match, the process proceeds to step S110, and if they do not match, the process proceeds to step S116.

  (Step S110) The error pattern determination unit 14 determines whether there is aggregate information corresponding to the nth error pattern information. Specifically, it is determined whether there is aggregate information specifying the nth error pattern information as the error pattern information to be aggregated. If there is, the process proceeds to step S111, and if not, the process proceeds to step S117.

  (Step S111) The appearance count acquisition unit 15 increments the appearance count of the n-th error pattern information by one.

  (Step S112) The error information acquisition unit 13 increments the value of the counter m by 1. Then, the process returns to step S104.

  (Step S113) The error pattern information registration unit 17 accumulates information about the m-th error information in the error pattern information storage unit 11 as new error pattern information. Then, the process returns to step S112.

  (Step S114) The error pattern determination unit 14 performs pattern matching between the nth error pattern information and the mth error information.

  (Step S115) The error pattern determination unit 14 determines whether or not the nth error pattern information and the mth error information match as a result of the pattern matching in step S114. If they match, the process proceeds to step S110. . If they do not match, the process proceeds to step S116.

  (Step S116) The error pattern determination unit 14 substitutes 1 for the value of the counter n. Then, the process returns to step S106.

  (Step S117) The appearance count acquisition unit 15 increments the appearance count of the error pattern information of the aggregation destination indicated by the aggregate information detected in Step S110 by one. Then, the process returns to step S112.

  (Step S118) The appearance count acquisition unit 15 totals the number of appearances of the error pattern information for each group.

  (Step S119) The appearance number output unit 16 outputs the number of appearances for each error pattern information acquired by the appearance number acquisition unit 15 and the number of appearances for each group. Then, the process returns to step S101.

  In the flowchart of FIG. 2, the process is terminated by powering off or a process termination interrupt.

  Hereinafter, specific operations of the information processing apparatus 1 in the present embodiment will be described with specific examples. A conceptual diagram of the information processing apparatus 1 is shown in FIG.

  FIG. 3 is a diagram showing error pattern management information for managing error pattern information stored in the error pattern information storage unit 11. The error pattern management information has attributes of “pattern ID” and “error pattern”. “Pattern ID” is error pattern identification information. “Error pattern” is error pattern information. In the error pattern information, here, ““ xxx ”” and ““ yyy ”” are regular expressions indicating an arbitrary character string of one or more characters.

  FIG. 4 is a diagram illustrating group management information for managing a group including error patterns. Here, it is assumed that the group management information is stored in the error pattern information storage unit 11. The group management information has attributes of “pattern ID”, “group ID”, and “group name”. “Pattern ID” is error pattern identification information. “Group ID” is group identification information of a group to which the error pattern information indicated by the corresponding “pattern ID” belongs. The “group name” is the name of the group, and here, a classification name that classifies the error pattern information that constitutes the group is used as the name of the group.

  FIG. 5 is a diagram illustrating aggregate information management information for managing aggregate information. Here, it is assumed that the aggregate information is stored in the error pattern information storage unit 11. The aggregate information management information has attributes of “target pattern ID” and “aggregation destination pattern ID”. “Target pattern ID” is an error pattern identifier of error pattern information to be aggregated. The “aggregation destination pattern ID” is an error pattern identifier of the error pattern information of the aggregation destination. Here, if one piece of error information that matches the error pattern information associated with one “target pattern ID” is detected, the “aggregation destination pattern ID” associated with this one “target pattern ID” The number of detected error pattern information indicated by is incremented by one. One aggregated information is composed of one “aggregation destination pattern ID” in the aggregated information management information and a plurality of “target pattern IDs” associated with the one “aggregation destination pattern ID”. Here, as an example, a plurality of error pattern information aggregated into one error pattern information is error pattern information corresponding to error information that can be corrected using the same technique, the same error correction tool (not shown), or the like. Suppose that

  FIG. 6 is a diagram illustrating an example of the source before conversion, and shows a part of the source before conversion.

  FIG. 7 is a diagram illustrating an example of post-conversion information stored in the post-conversion information storage unit 12. The pre-conversion source shown in FIG. 6 is converted using a single conversion tool (not shown). A part of the post-conversion information obtained in this way is extracted and shown. This part is assumed to correspond to a part of the pre-conversion source displayed in FIG. This post-conversion information includes error information 71 to 73 and the like. The error pattern information shown in FIG. 3 is error pattern information that can be output by this one conversion tool. It is assumed that the file name of the post-conversion information shown in FIG. 7 is “converted.vb”.

  Note that the pre-conversion source and the post-conversion source program included in the post-conversion information shown in this specific example are for convenience of explanation, and are not necessarily executable, and are not converted. It does not necessarily follow the programming language specifications before and after.

  First, when the user operates a keyboard or the like and performs an operation of designating a file whose file name stored in the post-conversion information storage unit 12 is “converted.vb”, the information processing apparatus 1 An instruction to designate the file “converted.vb” as a processing target is received via a receiving unit (not shown) or the like.

  The appearance count acquisition unit 15 sets the value of the number of appearances of each error pattern information stored in the error pattern information storage unit 11 to “0”.

  FIG. 8 is a diagram showing pattern totaling information for managing the totalization result of the number of appearances of error pattern information. The pattern total information has attributes of “pattern ID” and “total”. “Pattern ID” is error pattern identification information, and “Total” is the number of occurrences of error pattern information. Here, the pattern ID is sequentially updated with the count number of error pattern information determined by the error pattern determination unit 14. In the “pattern ID”, the error pattern identifier corresponding to the error pattern information that is aggregated into other error pattern information in the aggregate information is excluded here. However, the corresponding error pattern identifier may not be excluded.

  As shown in FIG. 8, the appearance count acquisition unit 15 sets each attribute value corresponding to “total” of the pattern total information to “0”.

  The error information acquisition unit 13 acquires the first error information from the converted information file “converted.vb”. Here, a conversion tool (not shown) used to obtain post-conversion information has error text as a character string of “'UPGRADE_WARNING:” (that is, error location specifying information) and an end of the sentence as “. ”(Punctuation) data is output, and after that, as information for supporting the error information, information indicating the address of the information indicating the detailed contents of the error information is output. Suppose that it is a specification. The error information acquisition unit 13 detects a character string that matches the error location specifying information “'UPGRADE_WARNING:” by searching from the head of the post-conversion information. Then, the error information acquisition unit 13 acquires, as error information, a character string from immediately after the first detected character string “'UPGRADE_WARNING:” to “.” (Punctuation mark) that appears first. Here, information for supporting error information is not acquired.

  Here, it is assumed that the first error information acquired by the error information acquisition unit 13 is, for example, a character string “The default property of the object E_GUAIDPAB () could not be resolved”. The error information acquisition unit 13 temporarily stores the acquired error information in a storage medium or the like (not shown).

  Next, the error pattern determination unit 14 acquires the first (here, the first line) error pattern information and the error pattern identifier from the error pattern management information shown in FIG. Here, the attribute value of “error pattern” whose “pattern ID” is “101”, “the size of the fixed-length character string needs to be matched to the buffer”, and the value of “pattern ID” are acquired. .

  The error pattern determination unit 14 determines whether or not the acquired first error pattern information includes a regular expression. Here, since the first error pattern information does not include ““ xxx ”” and ““ yyy ””, the error pattern determination unit 14 determines that it does not include a regular expression. For this reason, the error pattern determination unit 14 compares the character string of the first error information acquired by the error information acquisition unit 13 with the character string of the first error pattern information, for example, character by character from the beginning, It is determined whether or not the character string of the first error information matches the character string of the first error pattern information.

  Here, if it is determined that they do not match, the error pattern determination unit 14 determines from the error pattern management information illustrated in FIG. 3 the second (here, the second line) error pattern information “object“ xxx ”default property. Could not be resolved. Next, it is determined whether or not the second error pattern information includes a regular expression. Here, since ““ xxx ”” is included, the error pattern determination unit 14 determines that a regular expression is included. For this reason, the error pattern determination unit 14 performs pattern matching between the first error information and the second error pattern information.

  Specifically, the error pattern determination unit 14 extracts “object”, which is a character string before the “xxx” portion, which is a regular expression, from the second error pattern information, and starts the first character of the error information. It is determined whether or not the column matches the extracted character string “object”. If they do not match, it is determined that the error information and the error pattern information do not match. Here, because they match, the error pattern determination unit 14 extracts the character string after the regular expression “could not resolve the default property” from the second error pattern information, and the character at the end of the error information It is determined whether or not the column matches the extracted character string. If they do not match, it is determined that the error information and the error pattern information do not match. Here, since they match, the error pattern determination unit 14 further includes a character string “E_GUAIDPAB ()” between the character strings determined to match the character string before and after the regular expression of the error pattern information in the error information. Then, it is determined whether or not the character string has an attribute corresponding to the regular expression “xxx”. Here, if the regular expression ““ xxx ”” indicates an arbitrary character string of one or more characters, the error pattern determination unit 14 determines that the character string is a character string having an attribute corresponding to the regular expression. . Accordingly, the error pattern determination unit 14 determines that the first error information matches the second error pattern information, and the “pattern ID” is “102” as the error pattern information corresponding to the first error information. Is determined as the second error pattern information. When the character string is not a character string having an attribute corresponding to the regular expression, the error pattern determination unit 14 determines that the error information and the error pattern information do not match.

  The error pattern determination unit 14 determines the second error pattern information whose “pattern ID” is “102” as the error pattern information corresponding to the first error information. Therefore, the appearance count acquisition unit 15 adds “102” which is the “pattern ID” of the error pattern information determined by the error pattern determination unit 14 to the attribute value of “target pattern ID” of the aggregate information management information illustrated in FIG. It is determined whether or not there is a match.

  Here, since there is no match, the appearance count acquisition unit 15 increments the value of the appearance count of the error pattern information whose “pattern ID” is “102” by one. Specifically, 1 is added to the value of “total” of the record (row) whose “pattern ID” of the pattern total information shown in FIG. 8 is “102”.

  If the attribute value of the “target pattern ID” of the aggregate information management information shown in FIG. 4 matches the “pattern ID” “102” of the error pattern information determined by the error pattern determination unit 14. Suppose there was. In this case, the appearance count acquisition unit 15 acquires the attribute value of the “aggregation destination pattern ID” corresponding to the record (row) whose “target pattern ID” is “102”, and the error pattern information indicated by the acquired attribute value The value of the number of occurrences of is incremented by 1. For example, if the acquired “aggregation destination pattern ID” is “123”, the appearance count acquisition unit 15 increments the value of the number of appearances of error pattern information whose “pattern ID” is “123” by one. Accordingly, for example, error information that can be corrected by a tool that corrects the same error or the like can be collected and counted as one error information.

  Also, suppose that the error pattern determination unit 14 determines that the second error pattern information is not error pattern information corresponding to the first error information. In this case, the error pattern determination unit 14 similarly performs processing for detecting error pattern information corresponding to the first error information for the third and subsequent error pattern information. When the matching error pattern information is detected, the number of appearances of this error pattern information or the error pattern information that is an aggregation destination of this error pattern information is incremented by one.

  Further, suppose that the error pattern information corresponding to the first error information is not included in the error pattern information stored in the error pattern information storage unit 11. In this case, the error pattern information registration unit 17 registers information related to the first error information as new error pattern information. Specifically, the error pattern information registration unit 17 accumulates information regarding the first error information in the error pattern information storage unit 11. For example, the error pattern information registration unit 17 may register the first error information “The default property of the object E_GUAIDPAB () could not be resolved” as new error pattern information. In addition, the error pattern information registration unit 17 replaces a part having the predetermined attribute of the first error information, for example, a part described in alphabet with a regular expression, as new error pattern information. You may register as In this case, the registered error pattern information is the same as the error pattern information whose “pattern ID” is “102”. Note that the error pattern information registration unit 17 may determine the group to which the newly registered error pattern information belongs. For example, the error pattern information registration unit 17 may group the newly registered error pattern information into groups designated by default or the like (for example, “new registration error”). Further, when new error pattern information is registered, the number of appearances corresponding to this error pattern information is set to “1”, for example.

  When the process of incrementing the number of appearances of the error pattern information corresponding to the first error information by 1 or the process of registering information related to the first error information as new error pattern information is completed, the information processing apparatus 1 The same processing as described above is performed for the second and subsequent error information included in the post-conversion information whose file name is “converted.vb”.

  Then, it is assumed that the above processing is completed for all error information included in the post-conversion information whose file name is “converted.vb”.

  FIG. 9 is a diagram showing the pattern tabulation information after the above processing is completed for all error information.

  The appearance count acquisition unit 15 uses the pattern total information shown in FIG. 9 and the group management information shown in FIG. 4 to sum up the number of appearances of the error pattern information for each group. Specifically, the appearance count acquisition unit 15 acquires one or more “pattern IDs” associated with each “group ID” for each “group ID” from the group management information illustrated in FIG. 4. Then, the number-of-appearance acquisition unit 15 uses the “total” attribute value (that is, the number of appearances of error pattern information) associated with each of the acquired one or more “pattern IDs” as the pattern total shown in FIG. Read from the information and aggregate. Thereby, the appearance count acquisition unit 15 acquires the total number for each “group ID”.

  FIG. 10 is a diagram illustrating group number management information for managing the total number of appearances of the error pattern information acquired for each “group ID” by the appearance number acquisition unit 15. In the group number management information, “Group ID” is group identification information, and “Number of times” is the total number of appearances of error pattern information belonging to the group indicated by “Group ID”.

  The appearance count output unit 16 outputs the number of appearances for each error pattern information indicated by the pattern total information shown in FIG. 9 and the number of appearances of the error pattern information for each group indicated by the group count management information shown in FIG. Here, as an example, the appearance count output unit 16 classifies and outputs the number of appearances of the error pattern information indicated by the pattern tabulation information for each group to which each error pattern information belongs. For example, for each group indicated by the group management information shown in FIG. 4, the appearance count output unit 16 is a value of the number of occurrences corresponding to each error pattern information indicated by each “pattern ID” constituting each group. Is obtained from the pattern tabulation information shown in FIG. Further, the appearance count output unit 16 acquires each error pattern information from which the value of “total” has been acquired from the error pattern management information illustrated in FIG. 3. Further, the appearance count output unit 16 acquires the attribute value of “group name” corresponding to each group for each group indicated by the group management information shown in FIG. 4, and error patterns belonging to each group for each group The total number of appearances of information is acquired from the group number management information shown in FIG. Then, the appearance count output unit 16 classifies and outputs the error pattern information belonging to each group and the number of appearances of each error pattern information for each group, and associates them with the error pattern information belonging to each group, The total number of occurrences of error pattern information acquired for each group and the attribute value of “group name” are output. Here, as an example, the appearance count output unit 16 outputs these pieces of information to the monitor 16a.

  FIG. 11 is a diagram illustrating a display example of the number of appearances of the error pattern information output by the appearance number output unit 16. By looking at the number of occurrences of error pattern information output in this way, the user can accurately determine what kind of error exists and what amount of work is required to correct the error. It is possible to estimate. As a result, it is possible to efficiently perform the source program migration work.

As described above, according to the present embodiment, it is possible to accurately grasp the number of appearances of error pattern information in post-conversion information, and it is possible to appropriately grasp the appearance status of error patterns that occur in automatically converted source programs. .
As a result, for example, it is possible to accurately estimate the amount of work required for error correction, the necessity of a correction tool necessary for correction, and the like, and the efficiency of migration work can be improved. That is, the present invention can be regarded as a technique for developing a technique for supplementing an incomplete conversion tool.

  According to the present embodiment, the number of appearances for each error pattern information is obtained for one post-conversion information. However, in the present invention, the number of appearances for each error pattern information for a plurality of pieces of post-conversion information. And the number of appearances of each error pattern information in a plurality of pieces of post-conversion information may be acquired.

  In each of the above embodiments, each process (each function) may be realized by centralized processing by a single device (system), or by distributed processing by a plurality of devices. May be.

  In the above embodiment, information related to processing executed by each component, for example, information received, acquired, selected, generated, transmitted, and received by each component. In addition, information such as threshold values, mathematical formulas, addresses, etc. used by each component in processing is retained temporarily or over a long period of time on a recording medium (not shown) even when not explicitly stated in the above description. It may be. Further, the storage of information in the recording medium (not shown) may be performed by each component or a storage unit (not shown). Further, reading of information from the recording medium (not shown) may be performed by each component or a reading unit (not shown).

  Further, although cases have been described with the above embodiments where the information processing apparatus is a stand-alone, the information processing apparatus may be a stand-alone apparatus or a server apparatus in a server / client system. In the latter case, the output unit or the reception unit receives an input or outputs a screen via a communication line.

  In each of the above embodiments, each component may be configured by dedicated hardware, or a component that can be realized by software may be realized by executing a program. For example, each component can be realized by a program execution unit such as a CPU reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory. At the time of execution, the program execution unit may execute the program while accessing a storage unit (for example, a recording medium such as a hard disk or a memory).

  The software that realizes the information processing apparatus in each of the above embodiments is a program as described below. That is, this program includes an error pattern information storage unit that stores one or more error pattern information that is a pattern of information regarding an error when the conversion tool is started by giving a source before conversion, which is a source program before conversion, A computer that can access the post-conversion information storage, which stores the post-conversion information that is output when the pre-conversion source is given to the conversion tool, and the new source program An error information acquisition unit that is a program for functioning as an information processing apparatus that supports migration, and that acquires one or more error information that is information about errors from post-conversion information stored in the post-conversion information storage unit And one or more error pattern information stored in the error pattern information storage unit The error pattern determination unit that determines error pattern information corresponding to one or more pieces of error information acquired by the error information acquisition unit, and the number of appearances of each error pattern information of the error pattern information determined by the error pattern determination unit Is a program for functioning as an appearance count acquisition unit that acquires the appearance count for each error pattern information acquired by the appearance count acquisition unit.

  In the above program, in a transmission step for transmitting information, a reception step for receiving information, etc., processing performed by hardware, for example, processing performed by a modem or an interface card in the transmission step (only performed by hardware). Not included) is not included.

  In the program, the functions realized by the program do not include functions that can be realized only by hardware. For example, a function that can be realized only by hardware such as a modem or an interface card in an acquisition unit that acquires information or an output unit that outputs information is not included in the function realized by the program.

  Further, the computer that executes this program may be singular or plural. That is, centralized processing may be performed, or distributed processing may be performed.

  FIG. 12 is a schematic diagram illustrating an example of an external appearance of a computer that executes the program and realizes the information processing apparatus according to the embodiment. The above-described embodiment can be realized by computer hardware and a computer program executed on the computer hardware.

  12, a computer system 900 includes a computer 901 including a CD-ROM (Compact Disk Read Only Memory) drive 905 and an FD (Floppy (registered trademark) Disk) drive 906, a keyboard 902, a mouse 903, a monitor 904, and the like. Is provided.

  FIG. 13 is a diagram showing an internal configuration of the computer system 900. In FIG. 13, in addition to the CD-ROM drive 905 and the FD drive 906, a computer 901 is connected to an MPU (Micro Processing Unit) 911, a ROM 912 for storing a program such as a bootup program, and the MPU 911. A RAM (Random Access Memory) 913 that temporarily stores program instructions and provides a temporary storage space, a hard disk 914 that stores application programs, system programs, and data, and an MPU 911 and a ROM 912 are interconnected. And a bus 915. The computer 901 may include a network card (not shown) that provides connection to the LAN.

  A program that causes the computer system 900 to execute the functions of the information processing apparatus and the like according to the above embodiment is stored in the CD-ROM 921 or the FD 922, inserted into the CD-ROM drive 905 or the FD drive 906, and stored in the hard disk 914. May be forwarded. Instead, the program may be transmitted to the computer 901 via a network (not shown) and stored in the hard disk 914. The program is loaded into the RAM 913 when executed. The program may be loaded directly from the CD-ROM 921, the FD 922, or the network.

  The program does not necessarily include an operating system (OS) or a third-party program that causes the computer 901 to execute the functions of the information processing apparatus according to the above-described embodiment. The program may include only a part of an instruction that calls an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 900 operates is well known and will not be described in detail.

  The present invention is not limited to the above-described embodiments, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention.

  As described above, the information processing apparatus according to the present invention is suitable as an apparatus that supports migration, and is particularly useful as an apparatus that supports migration using an automatic conversion tool.

DESCRIPTION OF SYMBOLS 1 Information processing apparatus 11 Error pattern information storage part 12 Post-conversion information storage part 13 Error information acquisition part 14 Error pattern determination part 15 Appearance frequency acquisition part 16 Appearance frequency output part 16a Monitor 17 Error pattern information registration part

Claims (7)

An information processing apparatus that supports migration for converting a source program before conversion and creating a new source program,
An error pattern information storage unit for storing one or more error pattern information, which is a pattern of information relating to an error when the pre-conversion source, which is a source program before conversion, is given to the conversion tool and started;
A post-conversion information storage unit that stores post-conversion information that is output when the pre-conversion source is given to the conversion tool and started,
An error information acquisition unit that acquires one or more error information that is information about an error from the post-conversion information stored in the post-conversion information storage unit;
Using one or more error pattern information stored in the error pattern information storage unit, an error pattern determination unit that determines error pattern information corresponding to each of the one or more pieces of error information acquired by the error information acquisition unit;
The error pattern information determined by the error pattern determination unit, an appearance number acquisition unit for acquiring the number of appearances for each error pattern information,
An information processing apparatus comprising: an appearance number output unit that outputs an appearance number for each error pattern information acquired by the appearance number acquisition unit. Information related to error information determined by the error pattern determination unit as not corresponding to any error pattern information stored in the error pattern information storage unit is accumulated in the error pattern information storage unit as new error pattern information. The information processing apparatus according to claim 1, further comprising an error pattern information registration unit. The error pattern information storage unit
Aggregate information for specifying two or more pieces of error pattern information to be aggregated into one error pattern information;
The error pattern determination unit
The error pattern information corresponding to each of the one or more pieces of error information acquired by the error information acquisition unit is determined using the one or more pieces of error pattern information and the aggregate information stored in the error pattern information storage unit. The information processing apparatus according to claim 1 or 2. The error pattern information storage unit
Contains one or more error pattern information grouped,
The appearance number output unit
The information processing apparatus according to any one of claims 1 to 3, wherein the number of appearances acquired by the appearance number acquisition unit is output for each group and for each error pattern information. The appearance number acquisition unit
Furthermore, the number of appearances acquired by the appearance number acquisition unit for each group is tabulated,
The appearance number output unit
The information processing apparatus according to claim 4, wherein a total result for each group is output. An information processing device that supports migration to convert a source program before conversion and create a new source program, and provides information about errors when the conversion tool is started by giving the source program before conversion to the conversion tool. An error pattern information storage unit that stores one or more error pattern information that are patterns, and a post-conversion information storage unit that stores post-conversion information that is output when the pre-conversion source is given to the conversion tool and started. An information processing method performed using an information processing apparatus including an error information acquisition unit, an error pattern determination unit, an appearance count acquisition unit, and an appearance count output unit,
An error information acquisition step in which the error information acquisition unit acquires one or more error information, which is information related to an error, from the post-conversion information stored in the post-conversion information storage unit;
The error pattern determination unit determines error pattern information corresponding to one or more pieces of error information acquired in the error information acquisition step, using one or more error pattern information stored in the error pattern information storage unit. An error pattern determination step to be performed;
The appearance count acquisition unit acquires the number of appearances for each error pattern information of the error pattern information determined in the error pattern determination step, and
An information processing method comprising: an appearance number output step in which the appearance number output unit outputs an appearance number for each error pattern information acquired in the appearance number acquisition step. An error pattern information storage unit for storing one or more error pattern information, which is a pattern of information related to an error when the conversion tool is started by giving a source before conversion, which is a source program before conversion, and the source before conversion Supports migration to create a new source program by converting a pre-conversion source program to a computer that can access a post-conversion information storage unit that stores post-conversion information that is output when the tool is started A program for causing an information processing apparatus to function,
An error information acquisition unit that acquires one or more error information that is information about an error from the post-conversion information stored in the post-conversion information storage unit;
Using one or more error pattern information stored in the error pattern information storage unit, an error pattern determination unit that determines error pattern information corresponding to each of the one or more pieces of error information acquired by the error information acquisition unit;
The error pattern information determined by the error pattern determination unit, an appearance number acquisition unit for acquiring the number of appearances for each error pattern information,
The program for functioning as an appearance number output part which outputs the appearance number for every error pattern information which the said appearance number acquisition part acquired.

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