E-Book, Englisch, Band 12914, 167 Seiten, eBook
O'Reilly / Devroey Search-Based Software Engineering
1. Auflage 2021
ISBN: 978-3-030-88106-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
13th International Symposium, SSBSE 2021, Bari, Italy, October 11–12, 2021, Proceedings
E-Book, Englisch, Band 12914, 167 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-030-88106-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book constitutes the proceedings of the 13th International Symposium on Search-Based Software Engineering, SSBSE 2021, which was held in Bari, Italy, during October 11-12, 2021. The 9 full and 2 short papers included in this volume were carefully reviewed and selected from 19 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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Keynote.- On the Effectiveness of SBSE Techniques: Through Instance Space Analysis.- Research Papers.- Generating Failing Test Suites for Quantum Programs with Search.- Preliminary Evaluation of SWAY in Permutation Decision Space via a Novel Euclidean Embedding.- Search-Based Selection and Prioritization of Test Scenarios for Autonomous Driving Systems.- Search-based Automated Play Testing of Computer Games: a model-based approach.- Hybrid Multi-level Crossover for Unit Test Case Generation.- Multi-objective Test Case Selection Through Linkage Learning-driven Crossover.- Enhancing Resource-based Test Case Generation For RESTful APIs with SQL Handling.- New Ideas and Emerging Results.- Empirical Study of Effectiveness of EvoSuite on SBST 2020 Tool Competition Benchmark.- Improving Android App Responsiveness through Search-Based Frame Rate Reduction.- Challenge Solutions.- Searching for Multi-Fault Programs in Defects4J.- Refining FitnessFunctions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e.
