Software Test Effort Estimation Using Particle Swarm Optimization

被引：0
|
作者：
Bhattacharya, Prasanta [1 ]
Srivastava, Praveen Ranjan [1 ]
Prasad, Bhanu [2 ]
机构：
[1] Birla Inst Technol & Sci, Dept Comp & Informat Syst, Pilani 333031, Rajasthan, India
[2] Florida A&M Univ, Dept Comp & Informat Sci, Tallahassee, FL 32307 USA
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS 2012 (INDIA 2012) | 2012年 / 132卷
关键词：
Software testing; software testing effort (STE); particle swarm optimization (PSO); COCOMO; test effort drivers (TED);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Software testing is a key component in the software development life cycle. This paper presents a modification to the Constructive Cost Model (COCOMO) technique by using particle swarm optimization. The resultant technique significantly increases the accuracy of the COCOMO approach and also incorporates the much needed flexibility related to the software and the development team.
引用
收藏
页码：827 / +
页数：3
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