DMCA
A dynamic test cluster sampling strategy by leveraging execution spectra information
| Venue: | In Proceedings of Conference on Software Testing, Verification and Validation (ICST’10 |
| Citations: | 9 - 5 self |
BibTeX
@INPROCEEDINGS{Yan_adynamic,
author = {Shali Yan and Zhenyu Chen and Zhihong Zhao and Chen Zhang and Yuming Zhou},
title = {A dynamic test cluster sampling strategy by leveraging execution spectra information},
booktitle = {In Proceedings of Conference on Software Testing, Verification and Validation (ICST’10},
year = {},
pages = {147--154}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract—Cluster filtering is a kind of test selection technique, which saves human efforts for result inspection by reducing test size and finding maximum failures. Cluster sampling strategies play a key role in the cluster filtering technique. A good sampling strategy can greatly improve the failure detection capability. In this paper, we propose a new cluster sampling strategy called execution-spectra-based sampling (ESBS). Different from the existing sampling strategies, ESBS iteratively selects test cases from each cluster. In each iteration process, ESBS selects the test case that has the maximum suspiciousness to be a failed test. For each test, its suspiciousness is computed based on the execution spectra information of previous passed and failed test cases selected from the same cluster. The new sampling strategy ESBS is evaluated experimentally and the results show that it is more effective than the existing sampling strategies in most cases. Keywords-test selection; cluster filtering; cluster sampling; execution spectra; I.
Keyphrases
execution spectrum information dynamic test cluster test case sampling strategy maximum failure maximum suspiciousness failed test cluster filtering keywords-test selection cluster sampling key role execution-spectra-based sampling good sampling strategy human effort test selection technique abstract cluster filtering test size new cluster result inspection cluster filtering technique failure detection capability iteration process execution spectrum new sampling strategy esbs
