JP2002287966A - Method of preparing data item dictionary - Google Patents

Abstract

PROBLEM TO BE SOLVED: To generate an efficient and reliable data item dictionary by analyzing a source program and a job control program of the existing system information, and extracting and utilizing data items to be registered with the data item dictionary and user-specific check rules and input, output and editing rules embedded in the existing source program. SOLUTION: The source program and the job control program, which are the existing programs, are analyzed (201). Identical or the same-meaning data item information defined on the source program is extracted (203). The symbolic name, Japanese name, type and the number of figures of the data items are standardized (204). Furthermore, the check rules and the input, output and editing rules for the appropriate standard data items are extracted from the existing source program (205). The data item dictionary is prepared using information extracted from the analysis results of the existing system information.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for creating a data item dictionary for improving the productivity and reliability in the reconstruction of an existing system and the development of the related system, and more particularly, to a method for efficiently utilizing the analysis information of the existing system. The present invention relates to a method for generating a reliable and reliable data item dictionary.

[0002]

2. Description of the Related Art Japanese Patent Laid-Open No. Hei 7-21068 discloses a conventional technique for efficiently generating a data item dictionary.
In the related art, a standard data item dictionary in which the names, attributes, and related processes of the data are defined in advance is focused on a state, a format, and the like, in which the data actually exists or is used. Then, by giving the Japanese name of the data item, the data item closest to the given Japanese name is selected from the standard data item dictionary, the definition contents are copied, and the data items used in actual system development are copied. Automatically generate dictionaries.

[0003] In addition, by providing a knowledge base that accumulates knowledge of business contents and data items possessed by experts required for creating a data item dictionary, it is possible to eliminate the need for specialized knowledge of data items. A data item dictionary having a quality of a certain level or more can always be generated.

[0004] Further, by providing a means for giving user-specific information to each data item when generating a data item dictionary, it is possible to reflect user-specific data item information when generating a data item dictionary. Thus, a data item dictionary that satisfies the user's request can be generated.

Further, as another prior art, Japanese Patent Laid-Open No.
There is a technique described in Japanese Patent No. 244881. The prior art is
Extract user-specific specifications from existing data item dictionary,
By automatically creating a data item dictionary reflecting user-specific specifications and generating a program, productivity is improved by reusing software.

[0006]

SUMMARY OF THE INVENTION The above-mentioned JP-A-7-210
The information that can be registered in the standard data item dictionary described in No. 68 is, to some extent, data items and processing contents that are common to the type of business and business, and the information is constructed in advance as a standard data item dictionary. By copying and creating the data item dictionary required for each system development, it is possible to reduce the number of man-hours to create data item dictionaries, which had to be manually created before, and to improve the productivity of system development. Become like

However, as data item dictionaries that can be used in actual system development, there are a large number of user-specific information that cannot be handled by a standard data item dictionary that has been constructed in advance. It is important to reflect on the data item dictionary in order to improve the productivity of system development utilizing the data item dictionary.

In the technique described in Japanese Patent Application Laid-Open No. 7-21068, there is a mechanism for reflecting the user-specific data item information. However, since the analysis and registration of the reflected user-specific information must be performed manually, the technique is still required. There was a problem that the number of work steps was increased.

In the technique described in Japanese Patent Application Laid-Open No. 9-244881, the definition of each data item required to generate a data item is analyzed from a description in a source program, and the analysis result is defined in a data item dictionary. Although there is a description that a data item dictionary is generated based on the Japanese name and definition of the data item described in the source by converting it to a possible format, there is no specific method at all, It is unclear how to actually create a data item dictionary reflecting the above-mentioned user-specific data item information.

An object of the present invention is to analyze a source program and a job control program of existing system information and register data items to be registered in a data item dictionary, check rules specific to a user embedded in the existing source program, and input / output editing. It is to extract rules and generate an efficient and highly reliable data item dictionary.

[0011]

In order to achieve the above object, the present invention provides a data item dictionary generating method for creating a data item dictionary for defining and managing data items handled in a system using a computer. Then, the existing system information analysis step for analyzing the source program and the job control program, which are the existing system information, and the same or synonymous data items defined in the source program are extracted, and the symbolic name of each data item, A data item standardizing step for standardizing word names and attributes, a standard data item rule extracting step for extracting check rules and input / output editing rules for the standardized data items from an existing source program, and an analysis result of the existing system information A data item dictionary using information extracted from Characterized in that it comprises a data item dictionary registration step.

According to the present invention, in the above-mentioned data item dictionary generating method, the existing system information analyzing step may include:
Analyzing the source program, extracting a program name, a file allocation name, a logical file name, an input / output record name, and / or an input / output division when executing the source program, and setting it as source program information; and analyzing the source program Program name, logical file name,
Extract the input / output record name, data item name, attribute information of data item, and / or definition COPY member name,
Analyzing the job control program to extract a program name to be executed, a file allocation name, a physical file name, and / or a file division to obtain job control program information;
Using the program name and the file allocation name of the source program information as keys, obtaining a physical file name corresponding to the program name and the file allocation name from the job control program information, and further setting an input / output data division And characterized in that:

According to the present invention, in the above data item dictionary generating method, the data item standardizing step analyzes a synonymous relationship between data items defined in the source program and identifies a synonymous data item.
D, creating a synonymous data item information including a record name including a data item constituting the synonymous data item, a data item name extracted as a synonymous data item, and / or attribute information of the data item; and Standardizing item symbol names, Japanese names, attribute information, and the like.

Further, in the data item dictionary generating method according to the present invention, the standard data item rule extracting step includes a step of extracting a check rule for each standard data item from a source program to be analyzed. Extracting an output editing rule for editing the data item outputting the data and the source program; and extracting an input editing rule for editing the data item outputting the data to the file / database and the source program. It is characterized by including.

In the data item dictionary generating method according to the present invention, the step of extracting a check rule for each of the standard data items comprises the standard data items and synonymous data items constituting the standard data items. Extracting a synonymous data ID for identifying a set of synonymous data items; and a program name, a record name, and an existing data item defined as a rule extraction target having the synchronous data ID from the synonymous data item information; Extracting a data item name; determining whether the extracted data item is a source program and a data item for which a check rule is to be extracted; from the source program information; Step to extract conditional instructions as check rules Characterized in that it comprises and.

[0016]

DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below in detail with reference to the drawings.

FIG. 1 is a schematic configuration diagram of a system according to an embodiment of the present invention, that is, a system that analyzes a source program and a job control program as existing system information and generates a data item dictionary. FIG. 2 shows FIG.
5 is a flowchart showing a processing procedure of the system of FIG.

In FIG. 1, reference numeral 1 denotes a CPU having a sequential processing function based on a program, and executes the processing procedure of FIG. Reference numeral 2 denotes an interactive terminal having a keyboard, a mouse, and the like, which is used by an operator using the present system to input various instructions and display results to the operator. 30-3
Reference numeral 4 denotes a program stored in the main storage device 3. When these programs are executed by the CPU 1, the processing procedure of FIG. 2 is realized.

The existing system analysis unit 31 is a program having a function of analyzing existing system information. The data item standardization unit 32 is a program having a function of performing a synonym analysis of data items defined in an existing source program and standardizing a set of synonymous data items.
The standard data item rule extracting unit 33 is a program having a function of extracting a check rule, an output editing rule, and an input editing rule for the data item from a set of standardized data items. The data standard dictionary registration unit 34 is a program having a function of generating a data item dictionary using the data item information extracted from the existing system information. The control program 30 controls the operation of each of the units 31 to 34 described above.

Reference numeral 4 denotes a file in which existing system information to be analyzed to generate a data item dictionary is stored. The file 4 stores a job control program, a source program, and the like. Reference numeral 5 denotes a JCL obtained by analysis by a program having a function of analyzing a source program or a job control program as existing system information.
(Job Control Language) information,
This file stores program information, file information, data item information, and the like. 6 performs synonym analysis of the data items defined in the existing source program, and obtains the synonymous data item information generated by the program having a function of standardizing the set of synonymous data items and the synonymous data item information from the set of standardized data items. This is a file that stores check rules, output editing rules, and rule information extracted by a program having a function of extracting input editing rules relating to data items. 7
Is a data item dictionary generated by a program having a function of generating a data item dictionary using standard data item information extracted from existing system information.

Note that the file itself and the information stored in the file are indicated by the same number. For example,
Reference numeral 4 in FIG. 1 represents a file storing the existing system information, and also represents the existing system information stored in the file.

Next, the operation procedure of the system of FIG. 1 will be described in detail with reference to the flowchart of FIG.

First, the existing system information 4 is analyzed (step 201). Here, information on data to be registered in the data item dictionary 7 is extracted by analyzing the source program and the job control program. In the analysis of a source program, source program information such as a program name, a file allocation name, a logical file name, an input / output record name, and an input / output category at the time of execution, and a program name and a logical file name at the time of execution , Input / output record name, data item name, data item type, number of digits, and data item information such as definition COPY member name. In the analysis of the job control program, information such as a program to be executed, a file allocation name, a physical file name, and a file division are extracted. Further, using the execution program name and the file allocation name of the source program information as keys, the corresponding physical file names are obtained from the analysis result of the job control program, and the physical file names corresponding to the obtained physical file names are further entered from the file division which is the analysis result of the job control program. Find the output destination data category. The physical file name and the input / output destination data section obtained here are added to the source program information.

FIG. 3 is an example of an interactive source program to be analyzed in step 201. FIG. 4 shows an example of a source program and a job control program in the batch system to be analyzed in step 201.

The interactive source program (3) shown in FIG.
01) is a program for receiving data input from the screen, checking the received data, calling a subprogram (302) if the check result is normal, and registering the data in a file. The COPY member information (303) contains the source program "FILE1IN".
The data item definition information used in the COPY definition in (302) and “PROG2” (402) described later, and is expanded in the source program when the source program is converted into an executable form.

FIG. 4 shows a job control program (401) that defines the execution order of the source programs and the physical files to be used, and a source program “PROG2” (4).
02) and “PROG3” (403). The source program “PROG2” (402) reads the file created by the interactive source program,
This is a program that performs output editing from the information and then outputs a list. In addition, the source program "PROG3"
(403) is a program for reading a file created by the interactive source program and newly creating another file.

FIG. 5 shows steps 201 and FIG.
2 shows the result (source program information) extracted by analyzing the source program shown in FIG. "PRO
“G1” (502) is a program name (304) defined in the source program shown in FIG. Also, the input / output record name “MSG-AREA-I” (503)
Is a command RECEIVE that controls transmission / reception (input / output) of screen data in the interactive source program.
Parse the (receive data) statement (308),
"MSG-ARE" defined in the statement
AI "(305). In the case of the interactive source program, the input / output section "I" (504) is assigned by judging from a command for controlling data transmission / reception. In this case, "MSG-9RE9-I" receives data. Since this is described as an argument for (RECEIVE instruction), “I” meaning input is set. SEND (Send Data) Statement (31
5) is similarly analyzed and data is extracted.

The source program of the batch system shown in FIG. 4 reads and writes data from and to a physical file, and the analysis of the source program extracts information related to the physical file. The execution program name “PROG2” (505) in FIG. 5 is the source program name “PROG2” (411) of the batch system shown in FIG. 4, and the file allocation name “INFL” (506) is “P
ROG2 ”(411) in the source program (413)
It is. With the information of the execution program name and the file allocation name, it is possible to associate the physical file defined by the job control program with the logical file defined by the source program. Also, the logical file name “IFILE” (507) is changed to “PROG2” (41
1) (412) in the source program. The input / output record name "FILE1-DATA" (508)
This is (319) of the COPY member of FIG. 3 which is developed by the PY definition "FILE1DT" (414). The input / output division "I" (509) is the PROC of the source program.
From the processing (416) of the file OPEN described in the EDURE DIVISION, the input is "I" for INPUT, the output is "O" for OUTPUT, and INPUT-O
In the case of UTPUT, the information is set as input / output “IO”.

Further, information on the data items defined in the input / output record is extracted from the source program information (FIG. 5) extracted above. FIG. 6 shows an example of the extracted data item information. Execution program "PRO
G2 ”(602), the logical file name“ IFILE ”(6
03), and the input / output record name "FILE1-DAT"
“A” (604) is obtained by extracting (505), (507), and (508) of the source program information (501) in FIG. Data item name "CUST-CD"
(605) is a data item name (320) defined in the input / output record of the input / output record name "FILE1-DATA" (604) extracted as the program information. Type “9” (606) and number of digits “5” (60
7) is attribute information (3) defined in the data item.
21). Also, COPY member name "FILE1D
"T" (608) indicates that the data item is expanded by the COPY member (414).
In this analysis, all data item information is created for the extracted input / output records.

FIG. 7 shows the result (JCL information) obtained by analyzing the job control program (401) shown in FIG. Execution program "PROG2" (702)
Is extracted from (404) in the job control program, the file allocation name "INFL" (703) is extracted from (405), and the physical file name "FILE1" (704) is extracted from (406). File classification "DS" (705)
Is set when a physical file name is specified, and file classification "S0" is set for data for which a physical file is not specified even though there is a file allocation name in the analysis of the job control program.

Next, analysis information of the job control program of FIG. 7 is added to the source program information of FIG. FIG.
The following shows an example of the finally created program information. The added physical file name “FILE1” (802)
An execution program name and a file assignment name that match the execution program name “PROG2” (505) and the file assignment name “INFL” (506) in FIG. 5 are searched from the job control program analysis result in FIG. Since “PROG2” (702) and the file allocation name (703) are found, the corresponding physical file name “FILE1” (704) is changed to the physical file name “F
ILE1 "(802). At this time, an input / output destination data division “F” (803) for inputting and outputting data to and from the physical file is set. In the case of an interactive source program, set "L" for data that does not specify a physical file even though there is a file allocation name in the analysis of the job control program, considering it as input / output for forms other than the physical file. Sets "M" because the input / output target of the data is the screen.

The tables acquired as described above and shown in FIGS. 5 to 8 correspond to the existing system analysis information 5 shown in FIGS.
Is equivalent to

Referring again to FIG. 2, after step 201, the data item standardizing section 32 performs the process of step 202. Step 202 includes synonymous data item information creation processing (step 203) and data item standardization processing (step 204).

In step 203, the synonymous relationship between the data items defined in the source program is analyzed, and synonymous data item information is created. Synonymous data items are relationships between data that have the same meaning and the same content, and can be determined to be able to unify data item names and attributes. In this analysis method, synonymous data item information is created using the procedure described in Japanese Patent Application Laid-Open No. 3-294925.

FIG. 9 shows an example of the synonymous data item information created in step 203. "DT000001" (9
02) represents a key item (data ID) for uniquely identifying each data, “GP001” (903) represents a synonymous data item ID for identifying synonymous data, and “PR001”.
“OG1” (904) indicates the name of a program that includes data items that constitute synonymous data items. Also,
“MAP-AREA-I” (905) represents a record name including a data item constituting a synonymous data item,
“KOKYAKU-CD-I” (906) indicates a data item name extracted as a synonymous data item, and “9” (9
07) indicates the type of the data item, and is "5" (908)
Represents the number of digits of the data item.

In step 204 of FIG. 2, data item standardization processing is further performed. This data item standardization is a process of creating information such as a standard data item symbol name, a standard data item Japanese name, a type, and the number of digits by a procedure shown in Japanese Patent Application No. 6-236465.

FIG. 10 shows the standard data item information (1001) created in step 204. "GP001"
(1002) represents a synonymous data ID (902) assigned to identify a synonymous data item, and “CUST-
"NO" (1003) indicates the standard data item symbol name assigned by the operator, and "customer number" (1004) indicates the standard data item Japanese name assigned by the operator. Also,
“9” (1005) indicates the type of the data item extracted in (907), “5” (1006) indicates the number of digits of the data item extracted in (908), and “Y” (1007) indicates the data item. This indicates that the data item is a dictionary generation target data item.

Referring again to FIG. 2, after step 202, the standard data item rule extraction unit 33 executes step 2
05 is performed. Step 205 includes a check rule extracting process (step 206), an output editing rule extracting process (step 207), and an input editing rule extracting process (step 208).

In step 206, a check rule for each standard data item is extracted from the analysis target source program in the standard data item rule extraction unit (205) with respect to the standard data item information (1001) standardized in the above-mentioned procedure (step 206). 206). Further, a data item for outputting data to the screen / form and an output editing rule for editing the source program are extracted (step 207).
A data item that outputs data to a file / DB and an input editing rule for editing a source program are extracted (step 208).

Hereinafter, steps 206 to 20 of the standard data item rule extraction unit (205) will be described with reference to FIGS.
8 will be described.

FIG. 11 shows an example in which a check rule is extracted for the standard data item “customer number” in step 206. The procedure up to the extraction of this result will be described. First, the standard data item "customer number" from which rules are to be extracted
(1004) and a synonymous data ID “GP001” for identifying a set of synonymous data items constituting the standard data item
(1002) is extracted. Next, from the synonymous data item information (901), a program name “PROG1” (904) in which an existing data item to be extracted as a rule having the synonymous data ID “GP001” is defined, and a record name “MAP-AREA” -I "(905) and the data item name" KOKYAKU-CD-I "(906).

Next, it is determined from the source program information (801) whether or not the extracted data item is a source program and a data item from which check rules are to be extracted.
to decide. Since the check rule is basically extracted from the data input from the screen / form, in the source program information (801), the input / output division is “I” and the input / output destination data division is “M” or “L”. Extract a data item. In the present embodiment, the program name “PROG
1 "(904), record name" MAP-AREA-I "
Only (905) in the source program information (801) has the input / output division "I" and the input / output destination data division "M" (8
04), the conditional instruction of the data item “KOKYAKU-CD-I” defined in the source program “PROG1” (301) is extracted as a check rule. Source program "PROG1"
In (301), “KOKYAKU-CD-I”
For "IF KOKYAKU-CD-I IS N
UMERIC "(309)
(1103) is the check rule extracted in this way.

At the same time, an error code setting or error message setting process executed under the same conditions is executed for a specific data item (ERR-CODE: error code setting data item, ERR-MSG: error message setting data item). Is extracted in the case where “E001” (1104) is “IF KOKYA
"MOVE 'E001' TO ER" executed under the conditions of "KU-CD-I IS NUMERIC" (309).
R-CODE ”(310).

As described above, the result of FIG. 11 is obtained by the processing of step 206.

Next, a description will be given of a process of extracting the data item outputting data to the screen / form and the output editing rule for editing the source program in step 207 of FIG.

FIG. 12 shows an example of the extracted output editing rule. In this example, “customer number” (1202) is the name of a standard data item to be an output editing rule, and a rule is edited in which the data item is edited as data to be output to a screen / form. In the extraction, the program name, record name, and data item name in which the existing data item is defined are extracted from the synonymous data ID constituting the standard data item in the same manner as the above procedure. Next, the process of directly editing and outputting the synonymous data items in each program or generating the output data via the CALL subroutine is performed from the program using all the synonymous data items. ,Extract. (1204) of FIG. 12 shows “CUST-C” having the same data ID of “customer number” in “PROG2” (402).
In this example, the process of inputting "D" and generating the output data "customer name" via the CALL subroutine is extracted as output editing. (1203) is an output editing rule name assigned by the operator after the extraction of the rule.

Next, a description will be given of a process of extracting the data item for outputting data to the file / DB and the input editing rule for editing the source program in step 208 of FIG.

FIG. 13 shows an example of the extracted input editing rule. In this example, “order amount” (1302) is the name of the standard data item that is the target of the input editing rule, and a rule is edited in which the data item is edited as data output to the file / DB. In the extraction, as in the above procedure, the synonymous data ID constituting the standard data item
From the program name in which the existing data item is defined,
Extract record name and data item name. Next, the process of directly editing and outputting the synonymous data items in each program or generating the output data via the CALL subroutine is performed from the program using all the synonymous data items. ,Extract. Figure 1
3 (1304) and (1305) are “PROG
1 "(301), synonymous data ID of" order amount "
This is an example in which (311) and (312), which are directly editing “HACYU-KIN-O” having, are extracted as input editing. (1303) is an output editing rule name assigned by the operator after the extraction of the rule.

Each of the tables shown in FIGS. 9 to 13 acquired as described above corresponds to the standard data item information 6 shown in FIGS.
Is equivalent to

Referring to FIG. 2 again, after step 205, the data item dictionary registration unit 34 uses the data item dictionary registration unit 34 to standardize the data items (FIG. 10) and check rules and input / output editing rules for the standard data items (see FIG. 2). 11 to 13) are registered in the data item dictionary 7 (step 209).

[0051]

As described above, according to the present invention,
Analyzes the job control program and the source program, which are existing system information, extracts the same or synonymous data items defined in the source program, and identifies the symbolic name, Japanese name, type, number of digits, etc. of the data item By standardizing, and further extracting check rules and input / output editing rules for the standard data items from existing source programs, and using information extracted from analysis results of these existing system information, user-specific specifications were also reflected. A data item dictionary can be constructed efficiently and with high reliability.

[Brief description of the drawings]

FIG. 1 is a diagram showing a configuration example of a system according to an embodiment of the present invention.

FIG. 2 is a diagram showing a processing procedure of the system of the present embodiment.

FIG. 3 is a diagram showing an example of a source program of a dialog system which is existing system information to be analyzed.

FIG. 4 is a diagram showing an example of a source program of a batch system, which is existing system information to be analyzed, and a job control program for controlling a processing order.

FIG. 5 is a diagram showing an example of source program information extracted by analyzing a source program.

FIG. 6 is a diagram showing an example of data item information extracted by analyzing a source program.

FIG. 7 shows J extracted by analyzing a job control program.
It is a figure showing an example of CL analysis information.

FIG. 8 is a diagram showing an example of program / data related information created by source program analysis and JCL analysis.

FIG. 9 is a diagram showing an example of synonymous data item information extracted by analyzing existing system information.

FIG. 10 is a diagram showing an example in which a data item symbol name and a data item Japanese name are added to a set of synonymous data items.

FIG. 11 is a diagram showing an example of check rule extraction extracted from existing system information.

FIG. 12 is a diagram showing an example of extraction of output editing rules extracted from existing system information.

FIG. 13 is a diagram illustrating an example of input editing rule extraction extracted from existing system information.

[Explanation of symbols]

 1: CPU 2: Interactive terminal device 3: Main storage device 4: Existing system information 5: Existing system analysis information 6: Standard data item information 7: Data item dictionary

Claims (5)

[Claims] 1. A data item dictionary creation method for creating a data item dictionary for defining and managing data items handled in a system using a computer, comprising analyzing a source program and a job control program as existing system information. Existing system information analysis step, and the same or synonymous data items defined in the source program are extracted.
A data item standardization step for standardizing Japanese names and attributes; a standard data item rule extraction step for extracting check rules and input / output editing rules for the standardized data items from an existing source program; and analyzing the existing system information. A data item dictionary registration step of generating a data item dictionary using information extracted from the result. 2. The data item dictionary generation method according to claim 1, wherein said existing system information analysis step analyzes a source program and executes the program name, file allocation name, logical file name, input / output. A step of extracting record names and / or input / output categories to obtain source program information; and analyzing a source program and executing the program name, a logical file name, an input / output record name, a data item name, and data. Item attribute information and / or definition COP
Extracting a Y member name and setting it as data item information; analyzing a job control program to extract a program name to be executed, a file allocation name, a physical file name, and / or a file division; Using the program name and the file allocation name of the source program information as a key, obtaining a physical file name corresponding to the program name and the file allocation name from the job control program information; Setting a data section. 3. The data item dictionary generating method according to claim 1, wherein the data item standardizing step analyzes a synonymous relationship between data items defined in the source program, and identifies synonymous data. Generating a synonymous data item information including an ID, a record name including a data item constituting the synonymous data item, a data item name extracted as a synonymous data item, and / or attribute information of the data item; Standardizing item symbol names, Japanese names, attribute information, and the like. 4. The data item dictionary generating method according to claim 1, wherein said standard data item rule extracting step comprises: extracting a check rule for each standard data item from a source program to be analyzed; Extracting an output editing rule for editing a data item and a source program outputting data to a file, and extracting an input editing rule for editing a data item and a source program outputting data to a file / database; A data item dictionary generation method comprising: 5. The data item dictionary generating method according to claim 4, wherein the step of extracting a check rule for each of the standard data items comprises: forming the standard data items and synonymous data items constituting the standard data items. Extracting a synonymous data ID for identifying a set of synonymous data items to be executed; and a program name, a record name, and a definition of an existing data item to be extracted as a rule having the synchronous data ID from the synonymous data item information. Extracting the data items and the data item names; determining from the source program information whether the extracted data items are the target program and data items for which check rules are to be extracted; and data items of the source program from which the check rules are to be extracted Steps to extract conditional instructions as check rules Data item dictionary generation method characterized by including and.