Abstract
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.
| Original language | English |
|---|---|
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 14 Feb 2025 |
Publication series
| Name | arXiv.org |
|---|---|
| No. | 2502.09982 |
Fields of science
- 102020 Medical informatics
- 102022 Software development
- 102006 Computer supported cooperative work (CSCW)
- 102027 Web engineering
- 502050 Business informatics
- 102040 Quantum computing
- 102016 IT security
- 503015 Subject didactics of technical sciences
- 509026 Digitalisation research
- 102015 Information systems
- 102034 Cyber-physical systems
- 502032 Quality management
- 211928 Systems engineering
JKU Focus areas
- Digital Transformation
Research output
- 1 Conference proceedings
-
ICST Tool Competition 2025 – Self-Driving Car Testing Track
Birchler, C., Klikovits, S., Fazzini, M. & Panichella, S., 20 May 2025, 2025 IEEE Conference on Software Testing, Verification and Validation (ICST). Fasolino, A. R., Panichella, S., Aleti, A. & Mesbah, A. (eds.). 1 ed. p. 801-804 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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