After running as one of the most successful workshops at ICSE 2020, the International Workshop on Testing for Deep Learning and Deep Learning for Testing (DeepTest) returns once more as a co-located workshop at the ACM/IEEE International Conference on Software Engineering (ICSE) in 2021!

DeepTest is a high-quality workshop for research at the intersection of Machine Learning (ML) and software engineering (SE). 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, fuzzy testing, bug-finding, and type-checking.

The workshop 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.

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