A procedure to detect problems of processes in software development projects using Bayesian networks

被引：66
作者：
Perkusich, Mirko [1 ]
Soares, Gustavo [1 ]
Almeida, Hyggo [1 ]
Perkusich, Angelo [2 ]
机构：
[1] Univ Fed Campina Grande, Dept Comp & Syst, BR-58109900 Campina Grande, PB, Brazil
[2] Univ Fed Campina Grande, Dept Elect Engn, BR-58109900 Campina Grande, PB, Brazil
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2015年 / 42卷 / 01期
关键词：
Software process simulation modeling; Bayesian networks; Software process management; Software development project; SIMULATION-MODEL; PREDICTION; MANAGEMENT; UNCERTAINTY;
D O I：
10.1016/j.eswa.2014.08.015
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
There are several software process models and methodologies such as waterfall, spiral and agile. Even so, the rate of successful software development projects is low. Since software is the major output of software processes, increasing software process management quality should increase the project's chances of success. Organizations have invested to adapt software processes to their environments and the characteristics of projects to improve the productivity and quality of the products. In this paper, we present a procedure to detect problems of processes in software development projects using Bayesian networks. The procedure was successfully applied to Scrum-based software development projects. The research results should encourage the usage of Bayesian networks to manage software processes and increase the rate of successful software development projects. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：437 / 450
页数：14
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