Abstract
Combinatorial Testing (CT) is a fundamental approach for testing varying applications ranging from mobile applications to autonomous driving. Input modeling is a prerequisite to CT. When the input domain is continuous, abstraction is necessary to generate a CT test suite. In this study, we discuss three novel, work-in-progress research avenues. With these avenues, we aim to maximize the fault detection capability of CT test suites through continuous domain input abstraction optimization. We motivate our research on abstraction by demonstrating how it affects the fault detection capability of CT test suites on three audio plugin implementations. Overall, continuous domain input abstraction optimization remains a promising open challenge.
Original language | English |
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Title of host publication | Proceedings - 2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2023 |
Publisher | IEEE |
Pages | 167-170 |
Number of pages | 4 |
ISBN (Electronic) | 9798350330328 |
DOIs | |
Publication status | Published - 2023 |
Event | 38th IEEE/ACM International Conference on Automated Software Engineering Workshops: ASEW 2023 - Echternach, Luxembourg Duration: 11 Sept 2023 → 15 Sept 2023 |
Conference
Conference | 38th IEEE/ACM International Conference on Automated Software Engineering Workshops |
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Abbreviated title | ASEW 2023 |
Country/Territory | Luxembourg |
City | Echternach |
Period | 11/09/23 → 15/09/23 |
Keywords
- abstraction
- combinatorial testing
- continuous domain input models
- mutation testing
ASJC Scopus subject areas
- Control and Optimization
- Software
- Safety, Risk, Reliability and Quality