Method for automatically generating productivity data of Qone database

A database and productivity technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of project progress evaluation process monitoring and continuous improvement impact, Qone productivity data missing, etc.

Inactive Publication Date: 2011-07-13
INST OF SOFTWARE - CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the actual use of Qone, due to various project management and reasons for the use of Qone, there is a serious lack of data about productivity in Qone....

Method used

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  • Method for automatically generating productivity data of Qone database
  • Method for automatically generating productivity data of Qone database
  • Method for automatically generating productivity data of Qone database

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Experimental program
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Embodiment Construction

[0085] Below in conjunction with the accompanying drawings, the process of repairing missing productivity from Qone software project data and SVN Log data is further described, but does not constitute a limitation of the present invention. The overall flow chart of repairing missing productivity from Qone software project data and SVN Log data is as follows figure 2 shown.

[0086] (1) Data preprocessing: the data extraction module extracts data from Qone and SVN respectively

[0087] 1. Extract data from Qone. Extracting data from Qone requires the use of the Qone database. After the connection to the Qone database is established, perform the following steps to extract data from the Qone database to obtain the "human resources-task" dataset.

[0088] a) Extract all human resources from Qone, including the id and name of the personnel;

[0089] b) For each human resource, extract all its leaf tasks, including task name, task description, task members, start time, end time, ...

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Abstract

The invention discloses a method for automatically generating productivity data of a Qone database, and belongs to the field of computer software engineering. The method comprises that: 1) a data extraction module extracts software project data from the Qone database, and extracts code submission data of a software project from a subversion (SVN) code library; 2) a mapping module maps the extracted data, and establishes a task-human resource-submission data set; 3) the mapping module determines a state between the task and the submission according to the actual execution time of the task and the submission time of submitting a file, establishes a netlike relation structure chart (V, E), determines the task corresponding to each submitted file, and generates a task-submission data set; and 4) a productivity data generating module counts the productivity data of each task according to the data submitted by each task in the task-submission data set. According to the method, the reliability of software is enhanced, and the software development has higher accuracy and objectivity.

Description

technical field [0001] The invention belongs to the field of computer software engineering, relates to a code version control method, in particular to a method for automatically generating Qone database productivity data. Background technique [0002] The software process management platform (hereinafter referred to as Qone) is based on the concept of total quality management and meets the requirements of ISO9000 / CMM / CMMI / GJB5000 / GJB5000A. It is a collaborative work platform that can comprehensively and effectively manage R&D. Qone manages the software project, the basic profit unit of the software organization, to ensure that the software project formulates project plans, allocates resources, and implements project supervision according to the requirements of the development process defined by the software development organization. Through quantitative measurement and control of the development process, problems in the project can be found and solved as early as possible, a...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 李明树王青黄辉肖俊超
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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