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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fraser, G. Gargantini, A. |
| Copyright Year | 2009 |
| Description | Author affiliation: Dip. di Ing. dell'Informazione e Metodi Mat., University of Bergamo, Viale Marconi 5, 24044 Dalmine, Italia (Gargantini, A.) || Institute for Software Technology, Graz University of Technology, Inffeldgasse 16b/2, A-8010, Austria (Fraser, G.) |
| Abstract | Many different techniques have been proposed to address the problem of automated test case generation, varying in a range of properties and resulting in very different test cases. In this paper we investigate the effects of the test case length on resulting test suites: Intuitively, longer test cases should serve to find more difficult faults but will reduce the number of test cases necessary to achieve the test objectives. On the other hand longer test cases have disadvantages such as higher computational costs and they are more difficult to interpret manually. Consequently, should one aim to generate many short test cases or fewer but longer test cases? We present the results of a set of experiments performed in a scenario of specification based testing for reactive systems. As expected, a long test case can achieve higher coverage and fault detecting capability than a short one, while giving preference to longer test cases in general can help reduce the size of test suites but can also have the opposite effect, for example, if minimization is applied. |
| Starting Page | 18 |
| Ending Page | 26 |
| File Size | 240681 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424437115 |
| DOI | 10.1109/IWAST.2009.5069037 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-18 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software testing Automatic testing Computational efficiency Performance evaluation System testing Fault detection Genetic mutations Monitoring Concrete Software quality |
| Content Type | Text |
| Resource Type | Article |
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