Search-Based Software Engineering: Lecture Notes in Computer Science, cartea 12914
Editat de Una-May O'Reilly, Xavier Devroeyen Limba Engleză Paperback – oct 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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Specificații
ISBN-13: 9783030881054
ISBN-10: 3030881059
Pagini: 184
Ilustrații: XIV, 167 p. 35 illus., 22 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.29 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3030881059
Pagini: 184
Ilustrații: XIV, 167 p. 35 illus., 22 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.29 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
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.