WO2018025603A1

WO2018025603A1 - System development assistance device and system development assistance method

Info

Publication number: WO2018025603A1
Application number: PCT/JP2017/025361
Authority: WO
Inventors: 秀行加藤; 和希安川; 正彦竹内; 満大田中; 貴子牛来; 朝美日開; 光次池上
Original assignee: 株式会社日立製作所
Priority date: 2016-08-05
Filing date: 2017-07-12
Publication date: 2018-02-08
Also published as: JP6573583B2; JP2018022424A; SG11201900995SA

Abstract

[Problem] To make it possible to deal with failures as early as at the design stage of an upstream process and assist in rapid and efficient system development. [Solution] A system development assistance device 100 comprising: a storage device 11 which stores design document information for an upstream design process; and a computation device 14 which sequentially performs a process for changing the execution sequence of jobs that are to be executed in the system to be developed and that are indicated by the design document information, a process for changing execution devices that execute the jobs and that have predetermined performance characteristics, and a process for changing the specifications of the execution devices, depending on whether or not the processing time it takes to complete the jobs satisfies a predetermined design specification.

Description

System development support apparatus and system development support method

The present invention relates to a system development support apparatus and a system development support method, and specifically relates to a technology that can deal with defects from a design stage in an upstream process and can support rapid and efficient system development.

With the spread and evolution of IT technology in recent years, there is a tendency for environmental changes in businesses that utilize such IT technology to become severe. For this reason, it is indispensable for vendors and the like to quickly provide systems that respond to changes in the business environment so that customers do not miss business opportunities.

Therefore, along with system development, a technique has been proposed in which an operation simulation related to the development target system is executed to improve the accuracy and efficiency of the system development. As such a conventional technique, for example, a technique related to an operation simulation system of a computer system, in which a file output in one job among a plurality of jobs executed sequentially is input to another job, the file Is a file consistency confirmation system that confirms whether the consistency as the input / output order is appropriate from the preceding / following relationship between the one job and the other job, wherein the one job and the other job It is provided with consistency checking means for checking the consistency by checking a predetermined state of the file in at least one of the jobs and a predetermined state of the one job and the other jobs. A file integrity confirmation system (see Patent Document 1) is proposed.

JP 2010-140396 A

In general system development, the product of the upstream process (basic design, detailed design) is refined step by step in the downstream process (manufacturing process, test process) to embody the system to be developed.

Of these, in the upstream process, the processing time of jobs, shell scripts, batch files, programs, etc. in the design contents is unclear and difficult to predict. For this reason, there is a case where a malfunction is detected in the downstream process due to a prediction error of the processing time of the job or the like in the upstream process. In this case, there is a problem that a large amount of man-hours are required for reworking (influence investigation and review retroactively to the upstream process). In addition, since the time and cost required for the upstream process are large, the adverse effects on the entire system development due to the above-mentioned reworking man-hour increase.

In addition, as in the prior art, even if the preceding condition of the job in the downstream process (after the manufacturing process) was confirmed, the design error in the upstream process could not be identified, and the situation where the downstream process was performed as it was occurred.

Therefore, an object of the present invention is to provide a technology that can cope with defects from the design stage in the upstream process and can support rapid and efficient system development.

A system development support apparatus of the present invention that solves the above problems includes a storage device that stores design document information in an upstream design process, and an execution device having a predetermined performance for a job scheduled to be executed in the development target system indicated by the design document information. If the processing time when executed in the above does not achieve a predetermined design specification, the processing of recombination of the job execution order in the design document information, change of the execution device, and change of the specification of the execution device And an arithmetic device that executes sequentially according to success or failure of achievement.

Further, the system development support method of the present invention is such that an information processing apparatus including a storage device storing design document information in an upstream design process executes a job scheduled to be executed in a development target system indicated by the design document information with a predetermined performance. If the processing time when executed by the execution device of the above does not achieve a predetermined design specification, each of the rearrangement of the job execution order in the design document information, the change of the execution device, and the specification change of the execution device The processing is sequentially executed according to the success or failure of the achievement.

According to the present invention, it is possible to cope with defects from the design stage in the upstream process and to support rapid and efficient system development.

It is a figure which shows the function structural example of the system development assistance apparatus of this embodiment. It is a figure which shows the hardware structural example of the system development assistance apparatus of this embodiment. It is a figure which shows the example 1 of a flow of the system development assistance method of this embodiment. It is a figure which shows the example of a data structure of the job design table of this embodiment. It is a figure which shows the data structural example of the hardware specification table of this embodiment. It is a figure which shows the data structural example of the prediction result table of this embodiment. It is a figure which shows the example 2 of a flow of the system development assistance method of this embodiment. It is a figure which shows the example of a data structure of the prediction interruption flag table of this embodiment. It is a figure which shows the example 3 of a flow of the system development assistance method of this embodiment. It is a figure which shows the example 4 of a flow of the system development assistance method of this embodiment. It is a figure which shows the example 5 of a flow of the system development assistance method of this embodiment. It is a figure which shows the example of a data structure of the process model table of this embodiment. It is a figure which shows the example 6 of a flow of the system development assistance method of this embodiment. It is a figure which shows the data structural example of the operation performance table of this embodiment.

--- System configuration support device configuration example ---
Embodiments of the present invention will be described below in detail with reference to the drawings. FIG. 1 is a diagram illustrating a configuration example of a system development support apparatus 100 according to the present embodiment. A system development support apparatus 100 shown in FIG. 1 is a computer that can cope with defects from a design stage in an upstream process and can support rapid and efficient system development.

The system development support apparatus 100 of this embodiment includes a client function 101, a job analysis function 102, and a job execution function 103 as its functional configuration. These functions are implemented by general information processing apparatus resources. Further, it is assumed that resources constituting these functions are connected in a state where they can communicate with each other. For example, the client function 101 is implemented by an input device, and the job analysis function 102 and the job execution function 103 are implemented by an arithmetic device and a storage device.

The user of the system development support apparatus 100 can perform an input operation on the job analysis function 102 of the system development support apparatus 100 through the client function 101 among these functions. Specifically, the user designates each column of the job design table 112, the hard specification table 113, the processing model table 114, the operation result table 115, the prediction result table 116, and the prediction interruption flag table 117 through the client function 101. It can be performed. In this case, the setting means by the user through the client function 101 does not matter.

The job analysis function 102 is a substantial function of the system development support apparatus 100. Therefore, the job analysis function 102 appropriately uses the job design table 112, the hardware specification table 113, the processing model table 114, the operation result table 115, the prediction result table 116, and the prediction interruption flag table 117, and the job analysis table 102 of the present embodiment. Execute system development support method.

Also, the job execution function 103 actually executes the job in the development target system and stores the operation result at that time in the operation result table 115.

The hardware configuration of the system development support apparatus 100 having such a configuration can be assumed as illustrated in FIG. The system development support apparatus 100 in FIG. 2 includes a storage device 11 configured with an appropriate nonvolatile storage element such as an SSD (Solid State Drive) or a hard disk drive, a memory 13 configured with a volatile storage element such as a RAM, and the storage device 11. The program 12 held in the CPU 13 is read out and executed in the memory 13 to perform overall control of the apparatus itself, as well as an arithmetic unit 14 such as a CPU for performing various determinations, calculations and control processes, and accepts key input and voice input from the user. At least an input device 15 and an output device 16 such as a display for displaying processing data are provided.

In addition to the program 12 for implementing the functions necessary for the system development support apparatus 100 of the present embodiment, that is, the above-described client function 101, job analysis function 102, and job execution function 103, in the storage device 11. The above-described job design table 112, hardware specification table 113, processing model table 114, operation result table 115, prediction result table 116, and prediction interruption flag table 117 are stored.

--- System development support flow ---
The actual procedure of the system development support method in the present embodiment will be described below with reference to the drawings. Various operations corresponding to the system development support method described below are realized by a program that the system development support apparatus 100 reads into a memory or the like and executes. And this program is comprised from the code | cord | chord for performing the various operation | movement demonstrated below.

FIG. 3 is a diagram showing a flow example 1 of the system development support method in the present embodiment. Here, it is assumed that a user who is a person in charge of system development inputs a job optimum mounting processing instruction using the client function 101 described above. There are no restrictions on the format, setting method, and location of parameters in this command.

Upon receiving the instruction, the job analysis function 102 of the system development support apparatus 100 executes processing time calculation preparation processing (step 0801). In this case, the job analysis function 102 searches for a record in the job design table 112 based on information (eg, operation name, execution device name, etc.) indicated by the above-described command, and extracts the value of the execution device 11210 from the record. To do.

As illustrated in FIG. 4, the above-described job design table 112 has a hierarchy 11202, an operation name 11203 that is a job name, a job start schedule 11204, and an end using an operation ID 11201 indicating a hierarchical relationship in the job hierarchy as a key. Schedule 11205, Predecessor 11206 indicating a job that is initially set to be executed before the job, Mandatory precondition 11207 indicating a job that should be completed prior to the job, Number of data items 11208 processed by the job A set of records in which values such as the record size 11209 of the data processed by the corresponding job, the execution device 11210, the processing model 11211 indicating the type of the corresponding job, and the degree of influence 11212 at the time of the rearrangement of the corresponding job are associated with each other It has become.

The value of the degree of influence 11212 at the time of order reordering described above is a value used to avoid contradiction (such as a file transmission process before executing the file creation process) at the time of job order reordering.

Also, the job analysis function 102 in step 0801 described above searches for a record in the hardware specification table 113 using the extracted value of the execution device 11210 as a key. In this case, the job analysis function 102 extracts each value of the CPU capability 11303 and the I / O capability 11304 from the record specified by the search.

As illustrated in FIG. 5, the hardware specification table 113 described above uses the value of the execution device 11301 that is an ID for uniquely specifying the job execution device as a key, the device type of the execution device, 11302, and the CPU capability that is the calculation capability 11303, an input / output capability I / O capability 11304, and a priority 11305 at the time of changing the execution device are a set of records associated with each other.

In addition, the job analysis function 102 uses the values of the execution device 11210, the CPU capability 11303, and the I / O capability 11304 obtained up to the above as the execution device 11611, the CPU capability 11612 of the prediction result table 116, And I / O capability 11613.

FIG. 6 shows a specific example of the prediction result table 116 described above. The prediction result table 116 is a table for storing the processing time of each job in the development target system estimated based on the information specified by the user and the information in the job design table 112 which is design document information.

The data structure includes the operation ID 11601 that uniquely identifies each job as a key, the hierarchy 11602 of the job, the operation name 11603, the start schedule 11604, the end schedule 11605, the processing time 11606, the preceding 11607, the essential preceding condition 11608, the number of data items 11609, a record size 11610, an execution device 11611, a CPU capability 11612, an I / O capability 11613, and a processing model 11614, and is a collection of records associated with each other. Basically, each column other than the processing time 11606 is the same as the configuration of the job design table 112.

The job analysis function 102 executes each process of step 0801 for all the records in the job design table 112, and outputs the obtained values to the corresponding records in the prediction result table 116.

Subsequently, the job analysis function 102 executes processing time prediction processing (step 0802). This processing time prediction process will be described based on the flow of FIG. In this flow, the job analysis function 102 repeatedly executes the processing of the following Step 0902 for all the records in the prediction result table 116, that is, the job (Steps 0901 to 0903).
The job analysis function 102 in this case reads a record from the prediction result table 116 described above, calculates the processing time of the job by applying the information indicated by the record to a predetermined calculation formula, and calculates the processing time calculated here. The value is stored in the processing time 11606 of the record of the corresponding job in the prediction result table 116, and the value of this processing time is added to the time of the start schedule 11604 to calculate the value of the end schedule 11605, and the prediction result table 116 Is updated (step 0902).

Note that the calculation formula for the processing time described above is the number of data of the job × record size × ((1 / CPU capability) × CPU capability dependency coefficient + (1 / I / O capability) × I / O capability dependency coefficient)) .

Returning to the description of the flow in FIG. Subsequently, the job analysis function 102 compares the time of the end schedule 11605 stored in the prediction result table 116 in step 802 described above with the time of the end schedule 11205 related to the job (job design table 112) to determine the end time. Is confirmed (step 0803).

In this case, the job analysis function 102 indicates that the time of the end time 11605 is the same as or before the time of the scheduled end 11205 of the job design table 112, or the interrupt flag 11701 of the prediction interrupt flag table 117 (FIG. 8) is “ If “0” (step 0803: end time is within schedule), the process transitions to the process time prediction result file output process (step 0809).

On the other hand, if the above-mentioned end time 11605 is not the same as or before the end scheduled time 11205 of the job design table 112 or the interruption flag 11701 of the prediction interruption flag table 117 is not “0” (step 0803: The job analysis function 102 shifts the processing to the job order rearrangement processing (step 0804).

Note that the interruption flag 11701 in the prediction interruption flag table 117 illustrated in FIG. 8 is defined in advance before the start of the above-described flow. The prediction interruption flag table 117 is an improvement process (job order reconfiguration process, execution device change process, hardware) when the time of the scheduled end of job 11605 estimated in Step 0802 exceeds the time indicated by the scheduled end 11205. (Spec change processing) is controlled.

At the time of the determination in step 0803, the job analysis function 102 performs the following branch determination based on the value of the interruption flag 11701.

Suspended flag is “0”: No improvement process is performed (excess time check 1: determined in step 0803).

Suspended flag is “1”: Job order rearrangement processing is performed (end time excess confirmation 2: determined in step 0805).

Suspended flag is “2”: Job order rearrangement processing and execution device change processing are performed (excess time check 3: determination in step 0807).

Suspended flag is “Other”: Performs job order rearrangement processing, execution device change processing, and hardware specification change processing.

Subsequently, the job analysis function 102 executes a job order rearrangement process (step 0804). In this job order recombination process, the job having the maximum value in the hierarchy 11602 in each record of the prediction result table 116 (FIG. 6) is set as the lowest layer, and the job in the lowest layer from the lowest layer job (that is, the minimum value in the hierarchy 11602). Processing that sequentially reorders job order patterns of each hierarchy up to the job, and aims to make the estimated end time that changes with this recombination at least the same as the scheduled end time 11205 of the job design table 112 It is.

Details of this job order recombination processing will be described based on the flow of FIG. In this flow, the job analysis function 102 sets each record in the prediction result table 116 having the highest value in the hierarchy 11602 as the lowest layer of the job, and starts from the lowest layer job to the highest layer (that is, in the hierarchy 11602). A loop that repeats the rearrangement of the job order pattern of each hierarchy is started in order up to the job of the minimum value (step 1001).

Next, the job analysis function 102 executes job order rearrangement (step 1002). In this job order reordering process, the job analysis function 102 records in the prediction result table 116 the record of the hierarchy 11602 selected in the job hierarchy confirmation loop (step 1001) (in the first loop, the value of the hierarchy 11602 is the maximum value). And the value of the preceding 11607 is changed to the value of the required preceding condition 11608 for the record for which the value is set in the mandatory preceding condition 11608 (not NULL).

In the example of the prediction result table 116 shown in FIG. 6, among the records corresponding to the lowest layer job having the maximum value of the hierarchy 11602, that is, among the records whose operation IDs 11601 are “1-2” and “1-3” The value “1-2” of the preceding 11607 is changed to the value “1-1” of the required preceding condition 11608 for the record of the operation ID “1-3” whose value is set in the required preceding condition 11608. .

Subsequently, the job analysis function 102 recalculates the processing time 11606 with the order pattern changed in the above-described job order rearrangement (step 1002), similarly to the above-described step 0902, and uses this calculated value in the prediction result table 116. Store in processing time 11606,
The value of the processing time 11606 obtained again is added to the start schedule 11604, the time of the end schedule 11605 is calculated, and the corresponding column of the prediction result table 116 is updated (step 1003).

Also, the job analysis function 102 checks the end of the end time 11605 obtained in step 1003 in the same manner as in step 0803 described above (step 1004).

As a result of the above-described excess confirmation, if the time of the end schedule 11605 of the prediction result table 116 is the same as or before the time of the end schedule 11205 of the job design table 112 (step 1004: end time is within schedule), the job analysis function 102 ends the flow.

On the other hand, as a result of the above excess confirmation, if the time of the end schedule 11605 of the prediction result table 116 is not the same as or before the time of the end schedule 11205 of the job design table 112 (step 1004: scheduled time exceeded), job analysis The function 102 returns to the job hierarchy confirmation loop (step 1001), and similarly executes the above-described steps 1002 to 1004 with respect to the record of the job one level above the job that has been processed so far. The flow ends with the end of (Step 1005).

Here, the description returns to the flow of FIG. The job analysis function 102 receives the result of the job order rearrangement process (step 0804) described above, and the time of the end schedule 11605 of the prediction result table 116 is the same as or before the time of the end schedule 11205 of the job design table 112. If the interruption flag 11701 in the prediction interruption flag table 117 is “1” (step 0805: the end time is within the schedule), the process transitions to the processing time prediction result file output process (step 0809).

On the other hand, if neither condition is satisfied (step 0805: scheduled time exceeded), the job analysis function 102 shifts the processing to execution device change processing (step 0806).

Next, the job analysis function 102 executes execution device change processing (step 0806). This execution device change processing replaces the execution device 11611 with a higher performance execution device for a job whose time of the scheduled end 11605 of the prediction result table 116 exceeds the time of the scheduled end 11205 of the job design table 112. This is a process aiming to satisfy the condition that it is the same as or before the time of the scheduled end 11205 of the job design table 112.

The processing method of the execution device change process will be described based on the flow of FIG. In this flow, the job analysis function 102 performs an execution device change target extraction process (step 1101). In step 1101, the job analysis function 102 specifies a record in which the time of the end schedule 11605 of the prediction result table 116 is not the same as or before the time of the end schedule 11205 of the job design table 112. Here, for example, it is assumed that the record of the operation ID “1” can be identified from the prediction result table 116 of FIG.

Next, the job analysis function 102 operates from the record having the value of the hierarchy 11602 larger than the record of the operation ID “1” specified in the above step 1101 and the record in which the value is stored in the execution device 11611. ID 11601 is extracted (step 1102). Here, it is assumed that the records with the operation IDs “1-1”, “1-2”, and “1-3” can be identified from the prediction result table 116 of FIG.

Subsequently, the job analysis function 102 executes the execution device change (step 1103). The job analysis function 102 in this step refers to the hardware specification table 113 using the value (for example, “C”) of the execution device 11611 associated with the operation ID 11601 extracted in step 1102 described above as a key. The device type 11302 of 11611 is specified as “AP” or the like. In addition, the job analysis function 102 specifies an execution device having the same device type as the device type 11302 specified above in the hardware specification table 113. In the example of the hardware specification table 113 shown in FIG. 5, execution devices “A” and “B” whose device type 11302 is “AP” can be specified.

In addition, the job analysis function 102 subtracts “1” from the value “3” of the priority 305 at the time of execution device change for the execution device “C” of the operation ID 11601 that is the execution device change target in step 1102 described above. The execution device having the value “2” as the value of the priority 305 when the execution device is changed is identified as the execution device “B” from the execution devices “A” and “B” identified above.

The job analysis function 102 executes the execution device “B” identified above as an execution device 11611 for each record of operation IDs “1-1”, “1-2”, and “1-3”, which is the execution device change target. In the column, the original execution device “C” is changed to “B”. At this time, the values of the CPU capability 11612 and the I / O capability 11613 are also updated to the values of the execution device “B” (extracted by the hardware specification table 113).

Next, the job analysis function 102 calculates an end time (step 1104). When calculating the end time, the job analysis function 102 determines the processing time 11606 based on the values of the CPU capability 11612 and the I / O capability 11613 of the execution device 11611 changed in step 1103 described above, that is, the execution device “B”. Recalculate the value. Further, the job analysis function 102 adds the value of the recalculated processing time 11606 to the time of the start schedule 11604 to calculate the time of the end schedule 11605 again, and updates the prediction result table 116.

Subsequently, the job analysis function 102 performs an end time excess confirmation in the same manner as in Step 0803 described above (Step 1105). In this case, if the time of the end schedule 11605 of the prediction result table 116 is the same as or before the time of the end schedule 11205 of the job design table 112 (step 1105: the end time is within the schedule), the job analysis function 102 in this case End the flow.

On the other hand, if the time of the end schedule 11605 of the prediction result table 116 is not the same as or before the time of the end schedule 11205 of the job design table 112 (Step 1105: Exceeding the scheduled time), the job analysis function 102 indicates that the execution device has been changed. The process proceeds to the priority confirmation (step 1106).

Subsequently, the job analysis function 102 performs priority confirmation when the execution device is changed (step 1106). In this case, the job analysis function 102 uses the value of the execution device 11611 associated with the operation ID 11601 associated with the operation ID 11601 that is found to have exceeded the time of the scheduled end 11605 in the end time excess confirmation (step 1105) as a key. The hard spec table 113 is referred to. With this reference, when it is found that all of the execution devices 11301 having the same device type 11302 value have all the priority 305 values at the time of execution device change (step 1106: all 1), the job analysis function 102 Ends the flow.

On the other hand, as a result of the above-described reference, when it is determined that the priority 305 values at the time of execution device change do not satisfy the condition of all 1 (step 1106: not all 1), the job analysis function 102 The processing is returned to the execution device change target extraction 1 (step 1101).

Returning to the description of the flow in FIG. The job analysis function 102 that has completed the execution device change process (step 0806) as described above performs an end time excess check in the same manner as in step 0803 described above (step 0807). In this case, the job analysis function 102 determines that the time of the end schedule 11605 of the prediction result table 116 is the same as or before the time of the end schedule 11205 of the job design table 112, or the interrupt flag 11701 of the prediction interrupt flag table 117 is “2”. ”(Step 0807: end time is within schedule), the process transitions to a process time prediction result file output process (step 0809).

On the other hand, any of the conditions that the time of the end schedule 11605 of the prediction result table 116 is the same as or before the time of the end schedule 11205 of the job design table 112 or the interrupt flag 11701 of the prediction interrupt flag table 117 is “2”. If not satisfied (step 0807: end time is within schedule), the job analysis function 102 shifts the processing to a hardware specification change process (step 0808).

Next, the job analysis function 102 performs hardware specification change processing (step 0808). In the hardware specification changing process, the job whose processing time is the longest among the lower-level jobs constituting the job with respect to the job in which the time of the scheduled end 11605 of the prediction result table 116 exceeds the time of the scheduled end 11205 of the job design table 112. In order to identify a long job, shorten the processing time 11606 of the job, and set the time of the scheduled end 11605 to be within the time of the scheduled end 11205 of the job design table 112, which is the planned scheduled end time. This is a process of replacing the hardware spec (CPU capability or I / O capability) of the execution device 11611 with a necessary spec.

The processing method of this hardware specification change process will be described based on the flow of FIG. In this flow, the job analysis function 102 extracts a record in which the time of the end schedule 11605 in the prediction result table 116 is not the same as or before the time of the end schedule 11205 in the job design table 112 (step 1201). Here, for example, it is assumed that records with operation IDs “1” and “2” are extracted.

Next, the job analysis function 102 indicates that the time of the scheduled end 11605 of the records “1” and “2” of the operation ID 11601 extracted in the above step 1201 is the scheduled end 11205 of the job design table 112. The time (deviation time) that deviates from the time is calculated, the one having the largest deviation time, that is, the one that is most deviated, is identified as, for example, the operation ID “1”, and the processing time is extracted ( Step 1202).

Next, the job analysis function 102 executes an operation ID 11601 having a value higher than the level 11602 of the operation ID 11601 specified in step 1202 described above, that is, the operation ID 11601 of the lower layer and associated with the operation ID. A device whose value is stored in the device 11611 is extracted (step 1203). Here, for example, it is assumed that the operation IDs “1-1”, “1-2”, and “1-3” have been extracted.

Next, the job analysis function 102 identifies the operation IDs extracted from the operation ID extracted in step 1203 described above based on the value of the preceding 11607, and the series of records, that is, jobs identified here. , The values of the processing times 11606 are totaled, and the operation ID 11601 having the longest total value of the processing times 11606 is extracted (step 1204).

For example, if the operation IDs “1-1” and “1-2” constitute a series of records, and the operation IDs “1-1” and “1-3” constitute a series of records, respectively, the operation IDs The processing times of “1-1” and “1-2” are calculated as 40 + 60 = 100, the processing times of operation IDs “1-1” and “1-3” are calculated as 40 + 90 = 130, and the like. Then, operation IDs “1-1” and “1-3” of the longest processing time “130” out of the total value of the processing times 11606 are extracted.

Next, the job analysis function 102 subtracts the longest processing time 11606 of each operation ID 11601 extracted in step 1204 described above by the divergence time calculated in step 1202 (step 1205).

For example, among the processing times 11606 of the operation IDs “1-1” and “1-3”, the longest one is specified as the operation ID “90” of “1-3”. In step 1202, the difference time “10” calculated for the operation ID “1” is subtracted to obtain a processing time “80”.

Next, the job analysis function 102 uses a calculation formula corresponding to the processing model 11614 associated with the operation ID 11601 to be processed in the above-described step 1205, and uses the hardware specification (based on the processing time calculated in the above-described step 1205. CPU capability 11612 or I / O capability 11613) is calculated (step 1206).

It should be noted that the calculation formula corresponding to the processing model 11614 is selected according to the following pattern.

Pattern 1: In the processing model table 114 (FIG. 12), when the CPU capacity dependence coefficient 11402> I / O capacity dependence coefficient 11403, that is, for a processing model having a CPU capacity dependence coefficient larger than the I / O capacity dependence coefficient, the CPU Since the effect of shortening the processing time due to the improvement of the capability is great, a necessary specification for the CPU capability is calculated. Of course, when the I / O capability dependency coefficient is larger than the CPU capability dependency coefficient, the effect of shortening the processing time due to the improvement of the I / O capability is great, so that the necessary specifications for the I / O capability are calculated. .

The calculation formula in this case is: CPU required capacity = data number 11609 × record size 11610 × CPU capacity dependency coefficient 11402 × I / O capacity 11613 / (processing time 11606 × I / O capacity 11613−data number 11609 × record size 11610 × I / O capability dependency coefficient 11403). Note that the value of “processing time 11606” in this calculation formula is the value of the processing time calculated in step 1205 described above (the same applies hereinafter).

In step 1206, the job analysis function 102 stores the CPU required capacity calculated as described above in the CPU capacity 11612 of the prediction result table 116.

Pattern 2: In the processing model table 114, when the CPU capacity dependence coefficient 11402 <I / O capacity dependence coefficient 11403, as described above, the effect of shortening the processing time by improving the I / O capacity is great. Calculating necessary specifications for capability In this case, the calculation formula is: I / O required capability = data count 11609 × record size 11610 × I / O capability dependency coefficient 11403 × CPU capability 11612 / (processing time 11606 × CPU capability 11612− The number of data items 11609 × the record size 11610 × the CPU capacity-dependent coefficient 11402).

In step 1206, the job analysis function 102 stores the I / O required capacity 11614 calculated as described above in the I / O capacity 11614 of the prediction result table 116.

Next, based on the value of the CPU capability 11612 or the I / O capability 11613 changed in step 1206 and the prediction result table 116 or the job design table 112, the job analysis function 102 is similar to step 0802 described above. The value of the processing time 11606 is calculated again, the processing time obtained here is added to the time of the scheduled start 11604, the time of the scheduled end 11605 is calculated, and the prediction result table 116 is updated (step 1207).

Subsequently, the job analysis function 102 performs an end time excess confirmation in the same manner as in Step 0803 described above (Step 1208). In this case, if the time of the end schedule 11605 of the prediction result table 116 is the same as or before the time of the end schedule 11205 of the job design table 112 (step 1208: the end time is within the schedule), the job analysis function 102 in this case End the flow.

On the other hand, if the time of the scheduled end 11605 of the prediction result table 116 is not the same as or before the time of the scheduled end 11205 of the job design table 112 (step 1208: scheduled time exceeded), the job analysis function 102 performs the above-described step 1201. Return processing to.

Returning to the description of the flow in FIG. Next, the job analysis function 102 outputs, for example, a processing time prediction result such as the prediction result table 116 to the storage device 11 or a predetermined device (step 0809), and ends the flow.

--- Dependency coefficient update flow ---
Next, update processing of the above-described CPU capacity dependency coefficient and I / O capacity dependency coefficient will be described. FIG. 13 is a diagram illustrating a flow example 6 of the system development support method in the present embodiment.

Here, it is assumed that a certain user issues a dependency coefficient update processing command in the client function 101. It should be noted that the parameter format, setting method, and arrangement location in this command are not limited.

In this dependency coefficient update process, the CPU capacity dependency coefficient and the I / O capacity dependency coefficient are calculated from the processing time 11506 of the operation result table 115 illustrated in FIG. In this process, the dependency coefficient 11402 and the I / O capability dependency coefficient 11403 are updated. Each dependency coefficient updated in this process is used to enable more accurate processing time prediction in the processing time prediction process in the system development support apparatus 100 after the next time.

Note that the operation result table 115 described above shows actual measured values of start time, end time, and processing time when various jobs are executed in a system having a predetermined performance as illustrated in FIG. It is a stored table.

In this flow, the job analysis function 102 starts a loop for updating capability-dependent coefficients in order from the top to the bottom of the processing model 11401 of the processing model table 114 (step 1301).

Next, regarding the processing model 11401 selected in step 1301 described above, the job analysis function 102 identifies a record having the same processing model 11211 value from the records in the job design table 112, and extracts an operation ID 11201 in the record. (Step 1302).

Next, the job analysis function 102 uses each operation ID 11201 extracted in step 1302 described above in order to start a loop that refers to the operation result table 115 (step 1303).

Next, in the operation result table 115, the job analysis function 102 uses the operation date 11501 of the most recent operation date 11501 and the operation date 11501 immediately before it among the records of the operation ID 11502 selected in the above-described step 1303. The record with ID 11502 is extracted (step 1304).

Next, the job analysis function 102 establishes simultaneous equations for the two records extracted in step 1304 described above with the CPU capability dependency coefficient 11402 as the variable “X” and the I / O capability dependency coefficient 11403 as the variable “Y”. Each coefficient is calculated (step 1305). The simultaneous equations in this case are as follows.

Equation 1 (data of the most recent operation date / time): processing time = number of data items 11507 × record size 11508 × ((1 / CPU capability 11510) × X + (1 / I / O capability 11511) × Y)
Equation 2 (data of the most recent operation date / time): processing time = number of data items 11507 × record size 11508 × ((1 / CPU capability 11510) × X + (1 / I / O capability 11511) × Y)
Next, the job analysis function 102 calculates an average value for each of the CPU capability dependency coefficient (variable X) and the I / O capability dependency coefficient (variable Y) calculated for each operation ID in step 1305 (step 1307). ).

Next, the job analysis function 102 uses the CPU capability dependency coefficient and the I / O capability dependency coefficient calculated in step 1307 described above, and the CPU capability dependency coefficient 11402 and the I / O capability dependency coefficient 11403 of the processing model table 114 are displayed. The value is updated (step 1308).

The CPU capacity dependency coefficient 11402 and the I / O capacity dependency coefficient 11403 of the processing model table 114 updated in this way indicate the ratio of processing time depending on the CPU capacity and the I / O capacity. By using these coefficients, the processing time can be calculated by the following equation.

CPU processing time = data amount × record size × CPU capacity dependency coefficient / CPU capacity I / O processing time = data amount × record size × I / O capacity dependency coefficient / I / O capacity CPU capacity dependency coefficient, I / O capacity CPU capacity dependency coefficient, I / O capacity dependency coefficient in accordance with events such as steady increase or decrease in the number of data items in the target system by executing calculation and update of dependency coefficient at predetermined intervals. Can be kept accurate.

In addition, regarding the time of occurrence of an event accompanied by sudden events such as a sudden increase or decrease in the number of data, the operation results are extracted from the operation result table 115, and two operation results relating to jobs of a predetermined processing model are extracted from the extracted operation results. Based on the above, each value of the CPU capacity dependence coefficient and the I / O capacity dependence coefficient may be calculated.

Alternatively, the operation result table 115 may be managed for each event accompanied by the sudden event described above. In this case, when calculating and updating the above-described CPU capability dependency coefficient and I / O capability dependency coefficient, the job analysis function 102, for example, with respect to an event designated by the user or an occurrence time comes, the corresponding operation performance table 115. And the CPU performance dependence coefficient and the I / O capacity dependence coefficient based on each of the two performance achievements related to the job of the predetermined processing model. Calculate each value.

The best mode for carrying out the present invention has been specifically described above. However, the present invention is not limited to this, and various modifications can be made without departing from the scope of the present invention.

According to the present embodiment, the job processing time is predicted step by step from the upstream process by simulation related to the operation of the development target system, and the job order is changed or the execution device is changed according to the prediction result. This makes it possible to support optimal job implementation.

This allows system developers to perform system development with optimized job implementation, efficiency, and speed, from upstream processes to downstream processes and enhancements after production. In addition, a system developer customer can quickly use a system that appropriately responds to changes in the business environment.

Therefore, it is possible to deal with defects from the design stage in the upstream process and support rapid and efficient system development.

記載 At least the following will be made clear by the description in this specification. That is, in the system development support apparatus according to the present embodiment, the arithmetic unit, when rearranging the execution order of the jobs, among the jobs indicated by the design document information, execution of a job to be preceded is a start condition, and Another job with the same start condition exists, and a job that is defined as being able to be started multiple times is identified, and the execution order of the job in the design document information is the same as the other job. Good.

According to this, recombination of job execution order can be made efficient and accurate, and as a result, it is possible to cope with defects from the design stage in the upstream process, and to support more rapid and efficient system development.

Further, in the system development support apparatus according to the present embodiment, when the execution device is changed, the arithmetic device replaces the execution device of the job whose processing time has not achieved the design specification with a predetermined value than the execution device. An execution device candidate having a high performance by a certain degree may be specified in a predetermined execution device list, and the execution device of the job specified in the design document information may be changed to the execution device candidate.

According to this, it is possible to efficiently and accurately change the job execution apparatus at a minimum cost, and to cope with the trouble from the design stage in the upstream process, and to support further rapid and efficient system development.

Further, in the system development support apparatus according to the present embodiment, when the spec of the execution apparatus is changed, the arithmetic device identifies a job whose processing time is most different from the design specification, and determines the content of the identified job. The specification is applied to a predetermined formula that defines the relationship between the job contents and the processing time in the execution device of the predetermined specification, and the specification that specifies the processing time specified by the design specification is specified. The specification may be changed as the specification of the job execution apparatus specified by the design document information.

According to this, it is possible to efficiently and accurately change the specifications of the job execution device at a minimum cost, and to deal with defects from the design stage in the upstream process, and to support more rapid and efficient system development. Become.

Further, in the system development support device of the present embodiment, the arithmetic device, regarding the job, the number of data items and the record size of the job, the arithmetic capability and input / output capability of the execution device, and the execution of the job Applying each value of the calculation capability and each dependence on the input / output capability to a predetermined formula, calculates the processing time when the job is executed by the execution device, and calculates the calculated processing time to the design The success or failure of the achievement may be determined by collating with the specification.

According to this, it is possible to calculate the job processing time efficiently and accurately, to make it easy to determine the success or failure of achievement of the design specifications, and to deal with defects from the design stage in the upstream process, and to make it quicker and more efficient. System development can be supported.

Further, in the system development support apparatus of the present embodiment, the arithmetic device includes two operations related to jobs of the same type among the operation results during a predetermined period in the development target system or another system having the same configuration as the development target system. Extract each value of processing time, number of data, record size, operation capability and input / output capability of execution device from each result, apply each value of each extracted operation result to the predetermined formula, It is also possible to solve the simultaneous equations using the ability and each dependency on the input / output ability as a variable by a predetermined algorithm and execute the processing for calculating each dependency every predetermined period.

According to this, it is possible to continue to accurately calculate the job processing time and determine success or failure of achievement of the above-mentioned design specifications. As a result, it is possible to deal with defects from the design stage in the upstream process, and to make the system more rapid and efficient. Support development.

Further, in the system development support apparatus according to the present embodiment, the calculation device, when calculating the dependence degree, is an operation result during a predetermined event generation period among the operation results during the predetermined period, and the same type of job. Each of the values may be extracted from each of the two operation results.

According to this, the above-mentioned dependency is tuned with an accuracy corresponding to an event in which the amount of processing data of the job suddenly increases or decreases, and the calculation of the job processing time and the success / failure determination of the achievement of the above-described design specification are further improved. This makes it possible to continue to perform with high accuracy, and to cope with defects from the design stage in the upstream process, and to support more rapid and efficient system development.

Further, in the system development support method of the present embodiment, when the information processing apparatus rearranges the execution order of the jobs, among the jobs indicated by the design document information, execution of the job to be preceded is a start condition, and It is also possible to identify a job that has another job with the same start condition and is defined as capable of multiple start, and to make the execution order of the job in the design document information the same as the other job.

Further, in the system development support method of the present embodiment, when the information processing apparatus changes the execution apparatus, the information processing apparatus replaces the execution apparatus of the job whose processing time has not achieved the design specification with respect to the execution apparatus. An execution device candidate having a high performance by a predetermined level may be specified in a predetermined execution device list, and the execution device of the job specified in the design document information may be changed to the execution device candidate.

Further, in the system development support method of the present embodiment, when the information processing device changes the specification of the execution device, the information processing device specifies a job whose processing time is most different from the design specification, and the content of the specified job Is applied to a predetermined expression that defines the relationship between the job contents and the processing time in the execution device of the predetermined specification, and the specification that specifies the processing time specified by the design specification is specified. The specified specifications may be changed as the specifications of the job execution apparatus defined by the design document information.

Further, in the system development support method of the present embodiment, the information processing apparatus relates to the job, the number of data items and the record size of the job, the computing capacity and input / output capacity of the execution apparatus, and the execution of the job. Applying each value of the calculation capability and the dependence on the input / output capability to a predetermined formula, calculating a processing time when the job is executed by the execution device, and calculating the calculated processing time The success or failure of the achievement may be determined by collating with design specifications.

Further, in the system development support method of the present embodiment, the information processing apparatus has two performance related jobs of the same type among the operation results during a predetermined period in the development target system or another system having the same configuration as the development target system. From each of the operation results, each value of the processing time, the number of data, the record size, the calculation capability and the input / output capability of the execution device is extracted, and each value of the extracted operation results is applied to the predetermined formula, It is also possible to solve the simultaneous equations using the calculation ability and the dependence on the input / output ability as a variable with a predetermined algorithm, and to execute the process of calculating the dependence on every predetermined period.

Further, in the system development support method of the present embodiment, the information processing apparatus is an operation result in the occurrence period of the predetermined event among the operation results in the predetermined period when the dependency degree is calculated. The respective values may be extracted from each of two operation results related to the job.

11 Storage Device 12 Program 13 Memory 14 Arithmetic Device 15 Input Device 16 Output Device 100 System Development Support Device 101 Client Function 102 Job Analysis Function 103 Job Execution Function 112 Job Design Table 113 Hard Spec Table 114 Processing Model Table 115 Operation Result Table 116 Prediction Result table 117 Predictive interruption flag table

Claims

A storage device that stores design document information in the upstream design process;
If the processing time when a job scheduled to be executed in the development target system indicated by the design document information is executed by an execution device having a predetermined performance does not achieve a predetermined design specification, the job execution order in the design document information is rearranged. An arithmetic device that sequentially executes each process of change of the execution device and specification change of the execution device according to success or failure of the achievement;
A system development support apparatus comprising:
The arithmetic unit is:
When rearranging the execution order of the jobs, it is defined that among the jobs indicated by the design document information, execution of the job to be preceded is a start condition, and there are other jobs having the same start condition, and multiple start is possible. Identifying the job being performed, and making the execution order of the job in the design document information the same as the other job,
The system development support apparatus according to claim 1.
The arithmetic unit is:
When changing the execution device, an execution device candidate whose performance is higher by a predetermined degree than the execution device is specified in a predetermined execution device list instead of the execution device of the job whose processing time has not achieved the design specification. The execution device for the job specified in the design document information is changed to the execution device candidate.
The system development support apparatus according to claim 1.
The arithmetic unit is:
When changing the specifications of the execution device, the job whose processing time is most different from the design specification is specified, and the content of the specified job is expressed as the relationship between the job content and the processing time in the execution device of the predetermined specification. Applying the specified formula to the specified specification, the specification for which the processing time of the job is the processing time specified by the design specification is specified, and the specified specification is executed by the job execution device specified by the design document information It is to be changed as a specification of
The system development support apparatus according to claim 1.
The arithmetic unit is:
Regarding the job, each value of the data count and record size of the job, the computing capability and input / output capability of the execution device, and the dependence on the computing capability and the input / output capability when executing the job Is applied to a predetermined formula to calculate the processing time when the job is executed by the execution device, and the success or failure of the achievement is determined by comparing the calculated processing time with the design specification.
The system development support apparatus according to claim 1.
The arithmetic unit is:
Of the operation results during a predetermined period in the development target system or another system having the same configuration as the development target system, the processing time, the number of data, the record size, and the execution device calculation from each of the two operation results for the same type of job Simultaneous equations that extract each value of capability and input / output capability, apply each value of the extracted operation results to the predetermined formula, and use the dependence on the calculation capability and the input / output capability as variables Is executed by a predetermined algorithm, and the processing for calculating each degree of dependence is executed every predetermined period.
The system development support apparatus according to claim 5.
The arithmetic unit is:
When calculating the dependence degree, among the operation results during the predetermined period, the operation results in the generation period of the predetermined event, and each value is extracted from two operation results related to the same type of job. ,
The system development support apparatus according to claim 6.
An information processing device equipped with a storage device that stores design document information in the upstream design process,
If the processing time when a job scheduled to be executed in the development target system indicated by the design document information is executed by an execution device having a predetermined performance does not achieve a predetermined design specification, the job execution order in the design document information is rearranged. The execution device change and the execution device specification change processing are sequentially executed according to the success or failure of the achievement.
A system development support method characterized by this.
The information processing apparatus is
When rearranging the execution order of the jobs, it is defined that among the jobs indicated by the design document information, execution of the job to be preceded is a start condition, and there are other jobs having the same start condition, and multiple start is possible. The job being executed, and the execution order of the job in the design document information is the same as the other job,
The system development support method according to claim 8, wherein:
The information processing apparatus is
When the execution device is changed, an execution device candidate whose performance is higher by a predetermined degree than the execution device is specified in the predetermined execution device list instead of the execution device of the job whose processing time has not achieved the design specification. And changing the execution device for the job specified in the design document information to the execution device candidate,
The system development support method according to claim 8, wherein:
The information processing apparatus is
When changing the specifications of the execution device, the job whose processing time is most different from the design specification is specified, and the content of the specified job is expressed as the relationship between the job content and the processing time in the execution device of the predetermined specification. Applying the specified formula to the specified specification, the specification for which the processing time of the job is the processing time specified by the design specification is specified, and the specified specification is executed by the job execution device specified by the design document information Change as the spec of
The system development support method according to claim 8, wherein:
The information processing apparatus is
Regarding the job, each value of the data count and record size of the job, the computing capability and input / output capability of the execution device, and the dependence on the computing capability and the input / output capability when executing the job Is applied to a predetermined formula to calculate the processing time when the job is executed by the execution device, and the success or failure of the achievement is determined by checking the calculated processing time against the design specification.
The system development support method according to claim 8, wherein:
The information processing apparatus is
Of the operation results during a predetermined period in the development target system or another system having the same configuration as the development target system, the processing time, the number of data, the record size, and the execution device calculation from each of the two operation results for the same type of job Simultaneous equations that extract each value of capability and input / output capability, apply each value of the extracted operation results to the predetermined formula, and use the dependence on the calculation capability and the input / output capability as variables Is solved by a predetermined algorithm, and the processing for calculating each dependency is executed every predetermined period.
The system development support method according to claim 12, wherein:
The information processing apparatus is
When calculating the dependence degree, among the operation results during the predetermined period, the operation results in the generation period of the predetermined event, and each value is extracted from each of the two operation results related to the same type of job.
The system development support method according to claim 13.