Search-Based Software Engineering

13th International Symposium, SSBSE 2021, Bari, Italy, October 11¿12, 2021, Proceedings
Herausgegeben:O'Reilly, Una-May; Devroey, Xavier

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 12914
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-88105-4
• 1st ed. 2021
• Seitenzahl: 184
• Erscheinungstermin: 1. Oktober 2021
• Englisch
• Abmessung: 235mm x 155mm x 11mm
• Gewicht: 289g
• ISBN-13: 9783030881054
• ISBN-10: 3030881059
• Artikelnr.: 62485102

Inhaltsangabe

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.