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Search-Based Software Engineering [electronic resource] : 13th International Symposium, SSBSE 2021, Bari, Italy, October 11-12, 2021, Proceedings / edited by Una-May O'Reilly, Xavier Devroey.

Contributor(s): O'Reilly, Una-May [editor.] | Devroey, Xavier [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Programming and Software Engineering: 12914Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XIV, 167 p. 35 illus., 22 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030881061.Subject(s): Software engineering | Computer science | Computer engineering | Computer networks  | Software Engineering | Theory of Computation | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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. .
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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.

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. .

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