A genetic algorithm for human resource allocation in software projects

被引：6

作者：

Coelho, Filipe D. ^{[1
]}

Reis, Rodrigo Q. ^{[1
]}

de Souza, Cleidson R. B. ^{[1
]}

机构：

[1] Fed Univ Para, Belem, Para, Brazil

来源：

2019 XLV LATIN AMERICAN COMPUTING CONFERENCE (CLEI 2019) | 2019年

关键词：

Genetic algorithm; Team optimization; Human Resource Allocation; Decision making;

D O I：

10.1109/CLEI47609.2019.235055

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The search for improvement of the software development process is an endless effort. The human resources allocation is one of the challenging aspects that needs to be investigate, since it brings together many different characteristics including work experience, preferences, domain knowledge, affinities, costs, among others. This work aims to describe a genetic algorithm aimed to provide automated assistance to the allocation of members to a software development project. We also present an evaluation of the efficiency and effectiveness of this algorithm. To evaluate the algorithm, a study was conducted with CMMiDEV assessed software companies. At the end of the study, the participants answered a brief questionnaire about their experience using the algorithm.

引用

页数：8

共 30 条

[1] Formal model for assigning human resources to teams in software projects [J].