Search-Based Software Engineering

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.

Klappentext

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.

Inhalt
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.