Software maintenance project delays prediction using Bayesian Networks

被引：46

作者：

de Melo, Ana C. V. ^{[1
]}

Sanchez, Adilson J. ^{[2
]}

机构：

[1] Univ Sao Paulo, Dept Comp Sci, BR-05508090 Sao Paulo, Brazil

[2] Banco Itao, BR-03105000 Sao Paulo, Brazil

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2008年 / 34卷 / 02期

关键词：

Bayesian Belief Networks; software management; project delay estimation;

D O I：

10.1016/j.eswa.2006.10.040

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Managing software maintenance is rarely a precise task due to uncertainties concerned with resources and services descriptions. Even when a well-established maintenance process is followed, the risk of delaying tasks remains if the new services are not precisely described or when resources change during process execution. Also, the delay of a task at an early process stage may represent a different delay at the end of the process, depending on complexity or services reliability requirements. This paper presents a knowledge-based representation (Bayesian Networks) for maintenance project delays based on specialists experience and a corresponding tool to help in managing software maintenance projects. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：908 / 919

页数：12

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