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.
Original language | English (US) |
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Title of host publication | Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014 |
Editors | Cristina Seceleanu, Bruce McMillin, Carl K. Chang, Yan Gao, Kenichi Yoshida, Ali Hurson, Yasuo Okabe, Mihhail Matskin |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 37-42 |
Number of pages | 6 |
ISBN (Electronic) | 9781479935789 |
DOIs | |
State | Published - Sep 18 2014 |
Event | 38th Annual IEEE Computer Software and Applications Conference Workshops, COMPSACW 2014 - Vasteras, Sweden Duration: Jul 27 2014 → Jul 29 2014 |
Publication series
Name | Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014 |
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Other
Other | 38th Annual IEEE Computer Software and Applications Conference Workshops, COMPSACW 2014 |
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Country | Sweden |
City | Vasteras |
Period | 7/27/14 → 7/29/14 |
Keywords
- adjusted dynamic random testing
- dynamic random testing
- software testing
ASJC Scopus subject areas
- Computer Science Applications
- Software