ICST Tool Competition 2025 -- Self-Driving Car Testing Track
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866929722071449600 |
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| author | Birchler, Christian Klikovits, Stefan Fazzini, Mattia Panichella, Sebastiano |
| author_facet | Birchler, Christian Klikovits, Stefan Fazzini, Mattia Panichella, Sebastiano |
| contents | This is the first edition of the tool competition on testing self-driving cars (SDCs) at the International Conference on Software Testing, Verification and Validation (ICST). The aim is to provide a platform for software testers to submit their tools addressing the test selection problem for simulation-based testing of SDCs, which is considered an emerging and vital domain. The competition provides an advanced software platform and representative case studies to ease participants' entry into SDC regression testing, enabling them to develop their initial test generation tools for SDCS. In this first edition, the competition includes five tools from different authors. All tools were evaluated using (regression) metrics for test selection as well as compared with a baseline approache. This paper provides an overview of the competition, detailing its context, framework, participating tools, evaluation methodology, and key findings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_09982 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ICST Tool Competition 2025 -- Self-Driving Car Testing Track Birchler, Christian Klikovits, Stefan Fazzini, Mattia Panichella, Sebastiano Software Engineering This is the first edition of the tool competition on testing self-driving cars (SDCs) at the International Conference on Software Testing, Verification and Validation (ICST). The aim is to provide a platform for software testers to submit their tools addressing the test selection problem for simulation-based testing of SDCs, which is considered an emerging and vital domain. The competition provides an advanced software platform and representative case studies to ease participants' entry into SDC regression testing, enabling them to develop their initial test generation tools for SDCS. In this first edition, the competition includes five tools from different authors. All tools were evaluated using (regression) metrics for test selection as well as compared with a baseline approache. This paper provides an overview of the competition, detailing its context, framework, participating tools, evaluation methodology, and key findings. |
| title | ICST Tool Competition 2025 -- Self-Driving Car Testing Track |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2502.09982 |