UID:
almahu_9949407266802882
Umfang:
XXI, 119 p. 19 illus., 14 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031212512
Serie:
Lecture Notes in Computer Science, 13711
Inhalt:
This book constitutes the proceedings of the 14th International Symposium on Search-Based Software Engineering, SSBSE 2022, which was held in Singapore, in November 2022. The 6 regular papers, the NIER and RENE tracks as well as the Challenge Track that were included in this volume were carefully reviewed and selected from 15 submissions. The papers deal with novel ideas and applications of search-based software engineering, focusing on engineering challenges and the application of automated approaches and optimization techniques from AI and machine learning research.
Anmerkung:
Research Papers -- Search-based Test Suite Generation for Rust -- An Empirical Comparison of EvoSuite and DSpot for Improving Developer-Written Test Suites with Respect to Mutation Score -- Efficient Fairness Testing through Hash-Based Sampling -- Improving Search-based Android Test Generation using Surrogate Models -- Guess What: Test Case Generation for Javascript with Unsupervised Probabilistic Type Inference -- EvoAttack: An Evolutionary Search-based Adversarial Attack for Object Detection Models -- NIER and RENE tracks -- Applying Combinatorial Testing to Verification-Based Fairness Testing -- Challenge Track -- Improving Android App Responsiveness through Search-Based Frame Rate Reduction.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031212505
Weitere Ausg.:
Printed edition: ISBN 9783031212529
Sprache:
Englisch
DOI:
10.1007/978-3-031-21251-2
URL:
https://doi.org/10.1007/978-3-031-21251-2
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