Eun-Hye Choi,Osamu Mizuno,Yifan Hu
Combinatorial t-way testing with small t is known as an efficient black-box testing technique to detect parameter inter- action failures. So far, several empirical studies have reported the effectiveness of t-way testing on fault detection abilities. However, few studies have investigated the effectiveness of t-way testing on code coverage, which is one of the most important coverage criteria widely used for software testing. This paper presents a quantitative analysis to evaluate the code-coverage effectiveness of t-way testing. Using three open source utility programs, we compare t-way testing with exhaustive (all combination) testing w.r.t. their code coverage and test suite sizes.
Eun-Hye Choi,Osamu Mizuno,Yifan Hu
Eun-Hye Choi,Osamu Mizuno,Yifan Hu
Proc. of 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016)
742
12
Hamilton, New Zealand
34-40
1
Code Coverage Analysis of Combinatorial Testing
2016
Yifan Hu
胡 軼凡
Yifan Hu
709
7
7
京都工芸繊維大学大学院工芸科学研究科
組み合わせテストにおけるコード網羅率の測定に関する研究
2015