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Project development workload estimation method based on dual-objective feature selection and optimization

A feature screening and workload technology, applied in the field of project development workload estimation based on dual-objective feature screening optimization, can solve problems such as unstable demand, high project cost, difficult project planning, monitoring and control, etc.

Inactive Publication Date: 2018-05-29
IANGSU COLLEGE OF ENG & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, if the estimation of the project development effort is not accurate, it will make it difficult to carry out strict planning, monitoring and control on the project
Therefore, the inaccurate estimation of the project development workload and the unstable demand are the two main reasons for the loss of control of the current software project.
[0005] If the project development workload is underestimated, it will make it difficult for the project to be successfully completed under the given workload, and cause the project cost to be too high and be canceled
And if the project development workload is overestimated, it will reduce the competitiveness of the enterprise
Therefore, whether the budget is too high or too low, it will have a negative impact on the development of the software project.

Method used

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  • Project development workload estimation method based on dual-objective feature selection and optimization

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Experimental program
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Embodiment 1

[0039] The overall flow chart of the project development workload estimation method based on dual-objective feature screening optimization in this embodiment is as follows figure 1 Shown, it is characterized in that comprising the following steps:

[0040] (1) Collect data on enterprise history items.

[0041] Analyze the historical projects developed by the team, and measure different historical projects with the help of metrics that are correlated with project development workload (from the perspective of data mining, metrics can be regarded as characteristics). Commonly used metrics include team experience, project supervisor experience, number of logical transactions included in the project, function points, development environment, etc. The specific meanings are shown in Table 1.

[0042] Table 1 The names and meanings of commonly used metrics

[0043]

[0044] By collecting the historical development projects of a software company, the final data set is as follows: ...

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Abstract

The invention discloses a project development workload estimation method based on dual-objective feature selection and optimization, and belongs to the field of software project management. The methodincludes the following steps that 1, data collection is conducted on enterprise historical projects, historical projects developed by a team is analyzed, and different historical projects are measured according to the measure index having correlation with the workload of project development; 2, based on two optimization objectives, by means of the genetic algorithm, a plurality of characteristicsubsets with non-pareto dominating relations are constructed, and according to the preference of a project supervisor to optimization objectives, one characteristic subset is selected out from the characteristic subsets with non-pareto dominating relations; 3, a new project needing prediction is given, after measure of the project is completed through the same measure index, according to the characteristic subset determined in the step 2 and a similarity measuring function, the k project most similar to the new project is selected out from a historical project data set, and according to the workload of development of the K project, by calculating the mean value, the workload required by development of the new project can be predicted.

Description

technical field [0001] The invention belongs to the technical field of software project management, and in particular relates to a method for estimating project development workload based on dual-objective feature screening and optimization. Background technique [0002] As the software industry becomes more and more mature, the complexity of software and the scale of projects are also growing, which brings unprecedented challenges to the management of software projects. Software project budget overruns, delays, or projects that cannot meet the expected needs of users have become common problems faced by software project development. Inefficient software project management not only prevents software projects from being completed on schedule, but even after spending a lot of money and time, projects are forced to be cancelled. Therefore, how to effectively carry out project management has been paid more and more attention by enterprises. Planning and control are two indispe...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/10G06N3/12
CPCG06Q10/0639G06N3/126G06Q10/103
Inventor 曲豫宾李芳陈翔
Owner IANGSU COLLEGE OF ENG & TECH