Search-Based Software Engineering

13th International Symposium, SSBSE 2021, Bari, Italy, October 11–12, 2021, Proceedings

AvUna-May O'Reilly,Xavier Devroey

Häftad, Engelska, 2021

Del 12914 i serien Lecture Notes in Computer Science

634 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-10-01
Mått:155 x 235 x 11 mm
Vikt:289 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:167
Förlag:Springer Nature Switzerland AG
ISBN:9783030881054

Utforska kategorier

Innehållsförteckning

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.

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