Search-Based Software Engineering 14th International Symposium, SSBSE 2022, Singapore, November 17-18, 2022, Proceedings / [electronic resource] :
edited by Mike Papadakis, Silvia Regina Vergilio.
- 1st ed. 2022.
- XXI, 119 p. 19 illus., 14 illus. in color. online resource.
- Lecture Notes in Computer Science, 13711 1611-3349 ; .
- Lecture Notes in Computer Science, 13711 .
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.
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.
9783031212512
10.1007/978-3-031-21251-2 doi
Software engineering.
Computer engineering.
Computer networks .
Computer science.
Artificial intelligence.
Software Engineering.
Computer Engineering and Networks.
Theory of Computation.
Artificial Intelligence.
QA76.758
005.1
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.
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.
9783031212512
10.1007/978-3-031-21251-2 doi
Software engineering.
Computer engineering.
Computer networks .
Computer science.
Artificial intelligence.
Software Engineering.
Computer Engineering and Networks.
Theory of Computation.
Artificial Intelligence.
QA76.758
005.1