DeepTest 2024
Machine Learning (ML) is widely adopted in modern software systems, including safety-critical domains such as autonomous cars, medical diagnosis, and aircraft collision avoidance systems. Thus, it is crucial to rigorously test such applications to ensure high dependability.
However, standard notions of software quality and reliability become irrelevant when considering ML systems, due to their non-deterministic nature and the lack of a transparent understanding of the models’ semantics. ML is also expected to revolutionize software development. Indeed, ML is being applied for devising novel program analysis and software testing techniques related to malware detection, bug-finding, and type-checking.
DeepTest 2024 will combine academia and industry in a quest for well-founded practical solutions. The aim is to bring together an international group of researchers and practitioners with both ML and SE backgrounds to discuss their research, share datasets, and generally help the field to build momentum. The workshop will consist of invited talks, presentations based on research paper submissions, and one or more panel discussions, where all participants are invited to share their insights and ideas.
The workshop will take place as part of the International Conference of Software Engineering ICSE 2024. Prof. Dr. Andrea Stocco, head of the fortiss competence field Automated Software Testing, is a member of the organizing committee.
