JP3881103B2 - Variable classification apparatus and storage medium storing the program - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a program variable classification device that supports the creation and modification of computer programs, and classifies and outputs the contents of variable variables or types of uses of computer programs used in computer systems (hereinafter referred to as programs). It relates to the device.
[0002]
Computer system programs such as financial systems and medical systems are enormous in size and use many variables. However, the method of defining the variable varies depending on the programmer. To change or extend the program, information about those variables is required. Even if a programmer who is not the program creator views the program, It is difficult to easily distinguish the contents or uses (for example, money amount, zip code, etc.) represented by a variable.
[0003]
[Prior art]
A conventional computer program creation / change support apparatus only has a function for inquiring a variable type for a variable used in the program and a function for inquiring a variable usage location. And when changing or maintaining a program, the programmer understood the meaning (contents, usage, etc.) of the variables used in the program while analyzing the existing program, and changed or maintained the program. .
[0004]
[Problems to be solved by the invention]
As described above, programs such as financial systems and medical systems are enormous in size, and a wide variety of variables are used. For example, in the case of a financial system, the program creator sets the variable name for the quantity, amount, address, postal code, etc., but usually the contents of the variable name so determined can be understood. Is not specified in the program. On the other hand, when changing or maintaining a program, it is necessary to know the contents and usage (amount, date, etc.) of these variables.
[0005]
With the current technology, programmers who maintain the program have no choice but to investigate and guess the program, so the amount of work for the program with a large number of variables is very large and errors are likely to occur.
[0006]
An object of the present invention is to provide a program classifying and predicting apparatus for classifying and storing variables in a program, determining the type and use of the variable by an operator's inquiry, and outputting the program.
[0007]
[Means for Solving the Problems]
The contents and uses of variables used in the program can be classified to some extent by the operations performed on the variables and the characters included. For example, addition / subtraction / multiplication / division calculations are performed on monetary amounts, and currency symbol characters such as “¥” and “$” are included, so the contents and usage of variables can be estimated by analyzing how variables are used in calculations. it can. In addition, postal codes are usually not subject to calculations such as addition, subtraction, division, and division, and can be estimated from that. Thus, it is possible to classify variables by collecting and analyzing information on variables used in the program.
[0008]
  The present invention provides a variable classification apparatus for estimating the use of a variable used in a program, comprising a variable classification rule table that defines the relationship between the information about the variable and the content of the variable or the use of the variable. Information about types or variables was collected, and the variable information collected was referred to the variable classification rule table, and the contents or uses of variables used in the program were estimated and classified.
  More specifically, the configuration of the present invention is as follows.
  (1):From variable classification rule table storage means for storing a variable classification rule table in which information related to the type of operation applied to a variable is associated with a use estimated from the type of calculation, and processing instructions used in the program Variable information collection means for collecting information on the type of operation applied to the variable, and information collected by the variable information collection means with reference to the variable classification rule table stored in the variable classification rule table storage means, the collection Variable classification means for estimating and classifying the usage corresponding to the type of computation in the variable classification rule table that matches the information regarding the type of computation performed as the usage of the variable used in the program. A variable classification device for programs.
  (2):Variable classification rule table storage means for storing a variable classification rule table in which information on the type of operation applied to a variable or information on a variable type is associated with a use estimated from the type of operation or variable type; The variable information collecting means for collecting the type of operation applied to the variable from the processing instruction used in the program or the variable type from the variable definition, and the information collected by the variable information collecting means Refers to the variable classification rule table stored in the variable classification rule table storage means, and corresponds to the operation type or variable type of the variable classification rule table that matches the collected operation type or variable type information. Variable classification means for estimating and classifying a use as a use of a variable used in the program, and used in the program When there is a data transfer group that enumerates the variables and variables with data transfer, the variable classifying means only uses common to the applications estimated for the variables listed in the data transfer group The variable classification apparatus for a program is characterized in that the estimated use is limited by a method of deleting the other uses from the variables.
  (3): (2)In the variable classification apparatus for a program, the variable classification means includes a variable classification rule table that associates information about types of operations applied to variables and uses, and variable classification that associates information about types of variables and uses. Based on multiple estimation results for variable uses estimated by different variable classification rule tables in the rule table, only common uses are left, and other uses are excluded from the variable uses. A variable classification device for programs characterized by limiting.
  (Four) :A computer uses a variable classification rule table storage means for storing a variable classification rule table that associates information about the type of operation applied to a variable with a use estimated from the type of operation, and is used in a program Refer to the variable classification rule table stored in the variable classification rule table storage means for the information collected by the variable information collection means for collecting information on the type of operation applied to the variable from the processing instruction. , Function as variable classification means for estimating and classifying the usage corresponding to the type of operation of the variable classification rule table that matches the information regarding the type of the collected operation as the usage of the variable used in the program A computer-readable storage medium storing a program for storing the program.
[0009]
FIG. 1 shows the basic configuration of the present invention.
In FIG.
1 is a variable classification device.
[0010]
Reference numeral 11 denotes a source program, which is a target program for classifying variables. 12 is a variable information collecting means for collecting information about variables used in the source program. For variable information such as variable type and name used in the program, It collects information about operations, operations, constant values assigned, variables, etc.
[0011]
Reference numeral 13 denotes variable information holding means for holding variable information.
Reference numeral 14 denotes variable classification means for classifying the contents and uses so that the user can easily use the variable information held in the variable information holding means.
[0012]
Reference numeral 141 denotes a variable classification rule table that defines the relationship between information about variables and the contents or uses of variables.
A search means 15 is a means for inquiring about the contents, uses, etc. of the variables registered in the variable classification device 1.
[0013]
The operation of the basic configuration of the present invention shown in FIG. 1 will be described.
The variable information collecting means 12 enumerates all variables used in the source program 11, and for each of those variables, the definition content (information such as variable type), the processing instruction referring to the variable, Collect information such as data exchange relations with various variables. The collected variable information is held in the variable information holding means 13. Then, the variable classification unit 14 refers to the variable classification rule table 141 for the variable information collected in this way, and estimates the content or use of the variable.
[0014]
The contents or usage of variables are estimated by the following method.
(1) Collecting values assigned to variables from all processing instructions that refer to variables and types of operations that are directly applied to variables, and estimating the usage of variables based on that information Is enumerated.
[0015]
{Circle around (2)} Alternatively, information on variable types is collected from the variable definitions, and those estimated as variable uses based on the information are listed.
(3) For the estimation result obtained in (1) or (2), obtain a group of variables that are sending / receiving the same type of data based on the information on the data transfer relationship between variables, and Limit the usage of the enumerated variables by removing only those that are common to and deleting others.
[0016]
(4) Investigate the relationship between the variables referenced in the same arithmetic expression, calculate the relationship that the variable uses should satisfy, and delete all but the use of each variable that can satisfy it To limit the use of the enumerated variables.
[0017]
The user instructs the search means 15 about the search contents. Then, the search means 15 searches the variable information holding means 13 and outputs the contents and usage of the inquired variable to a display or the like.
[0018]
According to the present invention, even a program of a large-scale computer system can easily know the contents and uses of enormous variables. Therefore, the efficiency of program change, expansion, maintenance, etc. is greatly improved.
[0019]
DETAILED DESCRIPTION OF THE INVENTION
In the following description, the embodiment of the present invention will be described by taking a program described using the COBOL language as an example. However, the program language targeted by the present invention is not necessarily limited to the COBOL language.
[0020]
In the COBOL language, update statements such as an ADD statement, a SUBTRACT statement, a DIVIDE statement, a MULTIPLY statement, a COMPUTE statement, a MOVE statement, and an ACCEPT statement correspond to processing instructions for performing operations on variables. In addition, conditional branch statements such as IF statement, EVALUATE statement, PERFORM statement, SEARCH statement, and the like may perform operations on variables in the branch condition calculation. Arithmetic operations of addition, subtraction, multiplication, division, and exponentiation can be used for classification as operations applied to variables, and special operations are used as display devices on terminal screens and arguments of built-in functions. In some cases, a partial reference operation such as extracting only the last two digits of the number can also be used. Here, a case using only four arithmetic operations will be described as an example.
[0021]
FIG. 2 shows an apparatus configuration according to the embodiment of the present invention.
In FIG.
1 is a variable classification device.
[0022]
Reference numeral 11 denotes a source program.
Reference numeral 12 denotes variable information collection means.
Reference numeral 131 denotes a variable information database which holds collected variable information (corresponding to the variable information holding means 13 in FIG. 1).
[0023]
Reference numeral 14 denotes variable classification means.
141 is a variable classification rule table corresponding to information about variables such as a set of variable uses, variable types, and applicable arithmetic expressions. It is realized as a collection of processing procedures that return a set of uses estimated as. The users are prepared in advance in consideration of the fields handled by the target program.
[0024]
Reference numeral 15 denotes search means.
Reference numeral 21 denotes a syntax analysis device that analyzes the syntax of a source program.
[0025]
Reference numeral 22 denotes a data flow analyzing apparatus for analyzing the data flow of a program whose syntax has been analyzed.
Reference numeral 23 denotes a program analysis information database having program analysis information.
[0026]
Reference numeral 24 denotes a terminal device.
The operation of the configuration of FIG. 2 will be described.
The variable information collection unit 12 collects variable information from the program analysis information database and stores it in the variable information database 131 (see FIG. 4 for a specific example of variable information). This variable information can be collected by existing techniques such as data flow analysis and domain analysis (see Japanese Patent Application No. Hei 8-99745). The object of analysis is not limited to one COBOL program, and processing can be performed on variables belonging to a plurality of programs in a lump. The variable classification unit 14 refers to the variable classification rule table 141 and classifies the variable information in the variable information database 131. Details of the operation of the variable classification means 14 will be described later. The user uses the terminal device 24 to input a search item to the search means 15 and searches for necessary information about the variable.
[0027]
FIG. 3 shows an embodiment of the system configuration of the present invention.
In FIG.
Reference numeral 111 denotes a computer.
[0028]
Reference numeral 112 denotes a CPU.
Reference numeral 113 denotes a memory.
Reference numeral 114 denotes an input / output interface.
[0029]
Reference numeral 115 denotes a drive device, which is a drive device for the storage medium 151.
Reference numeral 116 denotes a display.
Reference numeral 117 denotes a printer.
[0030]
Reference numeral 121 denotes an external storage device 1 that holds a system program.
Reference numeral 122 denotes a system program (source program).
[0031]
Reference numeral 125 denotes an external storage device 2 that holds a system database.
A system database 126 is a system database.
[0032]
Reference numeral 130 denotes an external storage device 3, which holds a syntax analysis program, a data flow analysis program, and a program analysis information database.
Reference numeral 132 denotes a syntax analysis program.
[0033]
Reference numeral 134 denotes a data flow analysis program.
Reference numeral 136 denotes a program analysis information database.
Reference numeral 138 denotes an external storage device 4 which holds a variable information database and a variable classification rule table.
[0034]
Reference numeral 140 denotes a variable information database.
142 is a variable classification rule table.
Reference numeral 151 denotes a storage medium that holds a program necessary for the variable classification apparatus of the present invention.
[0035]
Reference numeral 153 denotes a variable information collection program, which constitutes variable collection means with a CPU, memory, and the like.
Reference numeral 155 denotes a variable classification program, which constitutes variable classification means with a CPU, memory, and the like.
[0036]
Reference numeral 157 denotes a variable classification rule creation program.
Reference numeral 159 denotes a search program, which constitutes search means with a CPU, memory, and the like.
[0037]
FIG. 4 shows an example of a source program, which is a COBOL language program.
In step 732, FREC. Is an upper variable, and is an upper variable of the following variables PR, DT, AMT, TXR, and I-CNT.
[0038]
Step 733 is a definition of the variable PR and represents an 8-digit numerical value.
Step 734 is a definition of the variable DT, which represents a 6-digit numerical value.
Step 735 is a definition of the variable AMT and represents a 4-digit numerical value.
[0039]
Step 736 is a definition of the variable TXR and represents that there are two-digit numerical values below the decimal point.
Step 737 is a definition of the variable I-CNT and represents that there is a 4-digit numerical value.
[0040]
The DSP. Is an upper variable, and is an upper variable of the variables PP, YMD, TTL, and PSTNO.
Step 739 is a definition of the variable PP, which is a 6-digit numerical value and represents a negative numerical value in which a comma (,) is inserted every 3 digits.
[0041]
Step 740 is a definition of the variable YMD, which indicates that the value is a 6-digit numerical value and a slash (/) is inserted every 3 digits.
Step 741 is a definition of the variable TTL, which represents a 4-digit numerical value with a comma (,) inserted in the third digit.
[0042]
Step 742 is a definition of the variable PSTNO and represents a 5-digit numerical value.
Step 742 is a definition of the variable TPP and represents a 9-digit numerical value.
[0043]
Step 1325 is an instruction for instructing substitution of zero for TPP.
Step 1555 is an operation instruction that instructs to calculate TPP = TPP + PR * (TXR + 1).
[0044]
Step 1556 is an instruction for instructing to substitute the value of TPP into PP.
Step 1557 is an addition instruction for instructing to substitute the value of AMT into TTL.
[0045]
Step 1558 is an instruction that instructs to substitute the value of DT into YMD.
Step 1559 is an addition instruction for instructing to add 1 to I-CNT.
[0046]
FIG. 5 is an example of collected variable information.
Reference numeral 31 denotes variable information, which is variable information regarding the variables of the program shown in FIG.
[0047]
The data transfer group is an enumeration of variables in the program shown in FIG.
For example, the type of the variable DT is PIC9 (6) (6-digit numerical value), which is used in the instruction “MOVE DT TO YMD” in step 1558, and indicates that there is data exchange with the variable YMD.
[0048]
FIG. 6 shows an application estimation method 1 of the present invention.
FIG. 6A is a variable classification rule table used in the usage estimation rule 1.
41 is a variable classification rule table 1.
[0049]
It is a table | surface which estimates a variable by the calculation (application calculation) to which the variable is applied. For example, since zip code, gender, name, and date are not subject to addition, subtraction, multiplication, and division operations, variables not used in the four arithmetic operations are classified into zip code, gender, name, and date. Also, since the year is estimated to be used only for addition and subtraction, and the number may be used only for addition and subtraction, variables used only for addition and subtraction are classified as shown in the table. In addition, the years, tax rates, interest rates, amounts, and numbers are estimated to be used for addition, subtraction, and multiplication.
[0050]
The variable classification rule table 1 may be created by the user, or may be created in advance when the product is shipped as a default value, and may be changed by the user.
FIG. 6B is an example of an estimation result obtained based on the variable classification rule table 1 (41) for use. FIG. 6 is an estimation result of the usage of each variable obtained by applying the variable classification rule table 1 (41) of FIG. 6 (a) to the variable information database of FIG.
[0051]
In the variable information database of FIG. 5, since the variable PR is used for addition / subtraction and multiplication, it is estimated that the use of the variable PR is any of years, tax rates, interest rates, amounts, and numbers. Further, since the variable DT has no addition / subtraction / division, it is presumed to be a postal code, gender, name, and date.
[0052]
In this way, it is possible to estimate the use of each variable and obtain the estimation result of FIG. 6 (b).
FIG. 7 is a flowchart of the usage estimation method 1 of the present invention.
[0053]
The flowchart will be described according to the program steps of FIG.
S1 Operators before and after the variable V are obtained from the processing instruction at the location L where the variable V is used.
S2: It is determined whether there are operators before and after the variable V.
[0054]
S3 In the determination of S2, if there is only one and not before and after V, the only operator is OP.
S4 In the determination of S2, if there is an operator before and after V, the operator with the higher priority (the priority is determined in advance) is set to OP.
[0055]
S5: The obtained OP is additionally recorded in the variable database in association with the variable V.
S6 Iterates for all the used locations L, finds the operator OP corresponding to the variable V, and records it in the variable database.
[0056]
S7: From the variable classification rule table 1, the usage corresponding to the combination of operators associated with the variable V is extracted, recorded in the variable database in association with the variable V.
[0057]
S8 The above process is repeated for all variables V.
FIG. 8 is a diagram showing an application estimation method 2 of the present invention.
In the case of the COBOL language, the use of the variable can be estimated by using the description of the PICTURE clause and the USAGE clause of the data item description as the variable type information. From this type information, information such as the presence or absence of decimal points, editing characters (characters that are always automatically placed at a specific position when a value is assigned to a variable), the number of digits, and the character types allowed as values are obtained. Based on this information, the usage is estimated and a variable classification rule table is created.
[0058]
FIG. 8 (a) is a variable classification rule table 2 according to the present invention, which is a table for estimating the relationship between the variable type information and the usage to determine the usage.
51 is a variable classification rule table 2.
[0059]
Variables that include a decimal point as a characteristic of the type can be estimated as a tax rate or interest rate, so use is classified as such. In addition, a variable including a specific character string related to currency such as a currency symbol, “CD”, “DB”, etc. can be estimated as an amount of money. Similarly, the variable classification rule table 2 of FIG.
[0060]
Although not shown in the variable classification rule table 2 in FIG. 8 (a), the usage can be estimated by the value (number, character string, etc.) as a result of substituting the variable. .
[0061]
FIG. 8B is an example of a use estimation result obtained based on the variable classification rule table 2.
FIG. 8 is an estimation result of the usage of a variable obtained by applying the variable classification rule table 2 of FIG. 8A for each variable in the variable information database of FIG.
[0062]
Since TXR is a numerical variable including a decimal point, it is classified into a tax rate and an interest rate according to the variable classification rule table 2.
Since PP includes a comma (,) and has a currency symbol, it is classified as a monetary amount.
[0063]
YMD is categorized as year / month / day with '/' inserted.
Since TTL includes a comma (,), it is classified into an amount and a number.
Since PSTNO is a five-digit number, it is classified as a postal code.
[0064]
FIG. 9 is a flowchart of the application estimation method 2 of the present invention.
The usage corresponding to the combination of operators associated with the variable V is extracted from the variable classification rule table 2 for usage based on the S1 type.
[0065]
S2 The variable V is recorded in the variable information database in equality.
S3 The above process is repeated for all variables V.
FIG. 10 shows the estimation method 3 of the application of the present invention.
[0066]
The usage estimation method 3 of the present invention is limited to the usage common to the usage estimated for each variable by the above-described method and the usage estimated for the variables listed in the data transfer group of any variable. The remaining usage is a method of deleting from the usage of the variable.
[0067]
When the usage estimation method 3 of the present invention is applied to the usage estimation results of FIG. 8B for the variables in the variable information database of FIG. 5, the following results.
The variable of the data exchange group of variable DT is YMD. In the estimation result 2, the usage of the variable DT is undetermined, and the usage of the variable YMD is date. Therefore, the usage of the variable DT is classified into dates.
[0068]
Similarly, since the variable of the data exchange group of variable AMT is YMD, the AMT of the usage estimation result 2 is undecided, and the usage of TTL is the amount and the number, the TTL usage is classified into the amount and the number.
[0069]
In the same manner, an example of the estimation result of the application shown in FIG. 10B can be obtained.
FIG. 10 (a) is a flowchart of the method 3 for estimating the application of the present invention.
S1 The usage set of the variable V is set in the usage set S.
[0070]
S2 Let T be the set of uses of the variable W listed in the data transfer group.
S3 Set each set (common part) of S and T to S.
S4 The above process is repeated for all variables W listed in the data transfer group.
[0071]
S5 The above process is repeated for all variables W.
FIG. 11 shows the estimation method 4 of the application of the present invention.
Variables not obtained by the above estimation methods 1, 2, or 3 can be obtained by the estimation method described below based on them.
[0072]
Since it can be estimated that there is a certain relationship between the arithmetic expression and the use of the variable used therein, the estimation method 4 of the present invention obtains the relation between the arithmetic expression and the variable use as a variable classification rule table. Then, the variable classification rule table is applied to the arithmetic expression of the variable information database to estimate the use of the variable.
[0073]
FIG. 11A shows an example of a variable classification rule of the usage estimation method 4.
61 is a variable classification rule table 4.
Since there is a relationship of money amount = money amount * tax rate between the amount of money and the tax rate, that relationship is a rule. Similarly, the variable classification rule table 4 is created based on the relationship of counter = counter + constant, counter = counter-constant, amount = amount * tax rate, and the like.
[0074]
FIG. 11B is an example of an estimation result based on the variable classification rule table 4.
The expression 62 to be collated in the variable information database in FIG. 5 will be described.
Applying collation rule 7 to 1 + TXR of the expression 62 to be collated, it is estimated that TXR is a tax rate or a counter (the counter is a numerical value necessary for control, not a variable representing an item used in actual work) . Next, since TXR is a tax rate, (1 + TXR) is also a tax rate, and collation rule 1 is applied to the expression PR * (1 + TXR) to be collated to estimate that PR is a monetary amount. Further, since PR * (1 + TXT) is a monetary amount, the collation rule 9 is applied to TPP + PR * (1 + TXT) to estimate that TPP is a monetary amount. Since the counter does not include multiplication, it is excluded in the process of application rules 1 and 9.
[0075]
FIG. 12 is a flowchart of the application estimation method 4 of the present invention.
S1 The use set S is an empty set.
S2 Judge whether the processed sentence has already been processed. If it is not a process statement, the process of S3 is performed. If the sentence has already been processed, the process of S9 is performed for the next use location L.
[0076]
S3 Obtain an arithmetic expression E from the processed statement.
S4: Search the operation rule table for a set R of operation rules conforming to the expression E.
S5 R determines whether it has been found, and if so, performs the process of S6. If not, the process of S9 is performed for the next use location L.
[0077]
In S6 R, the usage U of the part that is collated with the variable V is obtained.
S7 It is determined whether the usage U is included in the usage of the variable V. If it is included, the processing of S8 is performed. If not, the process of S9 is performed for the next use location L.
[0078]
S8 Use U is added to S.
S9: Repeat the process of S2 to S8 for all the used locations L.
S10 It is determined whether the usage set S is empty. If it is not empty, the process of S11 is performed. If it is an empty set, the process of S12 is repeated for the next variable V in S12.
[0079]
S12: The above process is repeated for all variables V.
In this flowchart, existing techniques such as a pattern matching algorithm can be used for matching the expression of S4.
[0080]
【The invention's effect】
According to the present invention, all variables used in the program can be automatically performed. As a result, the enormous amount of work time spent investigating the use of conventional variables can be reduced, and the efficiency of investigation and maintenance of large-scale software systems can be greatly increased.
[Brief description of the drawings]
FIG. 1 is a diagram showing a basic configuration of the present invention.
FIG. 2 is a diagram showing an embodiment of the present invention.
FIG. 3 is a diagram showing an embodiment of a system configuration of the present invention.
FIG. 4 is an example of a source program.
FIG. 5 is an example of collected variable information of the present invention.
FIG. 6 is a diagram showing an application estimation method 1 of the present invention.
FIG. 7 is a flowchart of an application estimation method 1 of the present invention.
FIG. 8 is a diagram showing an application estimation method 2 of the present invention.
FIG. 9 is a flowchart of an application estimation method 2 of the present invention.
FIG. 10 is a diagram showing an estimation method 3 of an application of the present invention.
FIG. 11 is a diagram showing an estimation method 4 of an application of the present invention.
FIG. 12 is a diagram showing a flowchart of an application estimation method 4 of the present invention.
[Explanation of symbols]
1: Variable classification device
11: Source program
12: Variable information collection means
13: Variable holding means
14: Variable classification means
141: Variable classification rule table
15: Search means

Claims (4)

Variable classification rule table storage means for storing a variable classification rule table in which information on the type of operation applied to a variable is associated with a use estimated from the type of operation;
Variable information collecting means for collecting information on the types of operations applied to variables from processing instructions used in the program;
Refer to the variable classification rule table stored in the variable classification rule table storage means for information collected by the variable information collection means, and the type of operation of the variable classification rule table that matches the information about the type of operation collected Variable classification means for estimating and classifying the use corresponding to the use of the variable used in the program;
Variable classifier program, characterized in that it comprises a. Variable classification rule table storage means for storing a variable classification rule table in which information on the type of operation applied to a variable or information on a variable type is associated with a use estimated from the type of operation or variable type; ,
Variable information collection means for collecting information on the type of operation applied to the variable from the processing instruction used in the program, or information on the type of the variable from the definition of the variable;
Refer to the variable classification rule table stored in the variable classification rule table storage means for information collected by the variable information collection means, and the variable classification rule table that matches the information on the type of operation or variable type collected. Variable classification means for estimating and classifying the usage corresponding to the type of operation or the type of the variable as the usage of the variable used in the program,
In the variables used in the program, when there is a data transfer group that enumerates variables that are passed between the variables and the data, the variable classification means is estimated for the variables listed in the data transfer group. A variable classification apparatus for a program , wherein only the common uses are left in the other uses and the estimated uses are limited by a method of deleting other uses from the variables. The variable classification means includes different variable classification rules in a variable classification rule table in which information on the type of operation applied to a variable is associated with a use, and in a variable classification rule table in which information on a variable type is associated with a use Based on multiple estimation results of variable usage estimated from the table, only common usage is left, and other usages are limited from the usage of the variable. The program variable classification apparatus according to claim 2 . Computer
Variable classification rule table storage means for storing a variable classification rule table in which information on the type of operation applied to a variable is associated with a use estimated from the type of operation;
Variable information collecting means for collecting information on the types of operations applied to variables from processing instructions used in the program;
Refer to the variable classification rule table stored in the variable classification rule table storage means for information collected by the variable information collection means, and the type of operation of the variable classification rule table that matches the information about the type of operation collected Classification means for estimating and classifying the usage corresponding to the usage as the usage of the variable used in the program
A computer-readable storage medium storing a program for functioning as a computer .

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