@inproceedings{9132a155837a48e5a4081e524d70ac8c,
title = "Dynamic random testing with parameter adjustment",
abstract = "In order to improve traditional Random Partition Testing (RPT) strategy, Dynamic Random Testing (DRT) strategy is proposed. By DRT, testing profile is dynamically updated according to the previous test case execution result. The effectiveness of DRT depends on parameter settings. In this paper, a strategy is presented for extending the DRT with parameter adjustment in order to guarantee that the optimized boundaries. Using this strategy, the parameters in DRT are adjusted based on testing history during testing process. Case studies are presented and analyzed to show the improvement of DRT.",
keywords = "adjusted dynamic random testing, dynamic random testing, software testing",
author = "Zijiang Yang and Beibei Yin and Junpeng Lv and Kaiyuan Cai and Sik-Sang Yau and Jia Yu",
year = "2014",
month = sep,
day = "18",
doi = "10.1109/COMPSACW.2014.10",
language = "English (US)",
series = "Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "37--42",
editor = "Cristina Seceleanu and Bruce McMillin and Chang, {Carl K.} and Yan Gao and Kenichi Yoshida and Ali Hurson and Yasuo Okabe and Mihhail Matskin",
booktitle = "Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014",
note = "38th Annual IEEE Computer Software and Applications Conference Workshops, COMPSACW 2014 ; Conference date: 27-07-2014 Through 29-07-2014",
}