Automated Test Case Generation and Its Optimization for Path Testing Using Genetic Algorithm and Sampling

被引：2

作者：

Mohapatra, Debasis ^{[1
]}

Bhuyan, Prachet ^{[1
]}

Mohapatra, Durga P. ^{[2
]}

机构：

[1] KIIT Univ, Sch CS & Engg, Bhubaneswar, Orissa, India

[2] NIT, Dept CS & Engg, Rourkela, Orissa, India

来源：

2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I | 2009年

关键词：

Test Case; Test Harness; Genetic Algorithm; Sampling; Optimal test Suite;

D O I：

10.1109/ICIE.2009.22

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Software testing is an important activity of the software development process, and automated test case generation contributes to reduce cost and time efforts. In this paper, we have used genetic algorithm to optimize the test cases that are generated using the category partition and test harness patterns. In order to investigate the effectiveness of the approach, a graph is derived using category-partition and genetic algorithm is used to optimize the test cases to cover the entire possible path. The optimal test suites are devised by the method of sampling statistics.

引用

页码：643 / +

页数：2