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Search-Based Software Engineering = 12th International Symposium, SSBSE 2020, Bari, Italy, October 7–8, 2020, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Search-Based Software Engineering/ edited by Aldeida Aleti, Annibale Panichella.
其他題名:	12th International Symposium, SSBSE 2020, Bari, Italy, October 7–8, 2020, Proceedings /
其他作者:	Panichella, Annibale.
面頁冊數:	XIV, 263 p. 86 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Mathematics of Computing. -
電子資源:	https://doi.org/10.1007/978-3-030-59762-7
ISBN:	9783030597627

Search-Based Software Engineering = 12th International Symposium, SSBSE 2020, Bari, Italy, October 7–8, 2020, Proceedings /
Search-Based Software Engineering12th International Symposium, SSBSE 2020, Bari, Italy, October 7–8, 2020, Proceedings /[electronic resource] :edited by Aldeida Aleti, Annibale Panichella. - 1st ed. 2020. - XIV, 263 p. 86 illus.online resource. - Programming and Software Engineering ;12420. - Programming and Software Engineering ;8987.

Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone -- Automated Unit Test Generation for Python -- Do Quality Indicators Prefer Particular Multi-Objective Search Algorithms in Search-Based Software Engineering -- It is not Only About Control Dependent Nodes: Basic Block Coverage for Search-Based Crash Reproduction -- Search-based Testing for Scratch Programs -- Solving Schedulability as a Search Space Problem with Decision Diagrams -- Transforming Multi-Objective Interactive Metamodel/Model Co-Evolution into Mono-Objective Search via Designer’s Preferences Extraction -- Evolutionary Grammar-Based Fuzzing -- Commonality-Driven Unit Test Generation -- Using a Genetic Algorithm to Optimize Configurations in a Data Driven Application -- Measuring and Maintaining Population Diversity in Search-based Unit Test Generation -- Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems -- Exploring The Use of Genetic Algorithm Clustering for Mobile App Categorisation -- Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software -- Bet and Run for Test Case Generation -- Bytecode-based Multiple Condition Coverage: An Initial Investigation -- An application of model seeding to search-based unit test generation for Gson -- Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection -- Defects4J as a Challenge Case for the Search-Based Software Engineering Community.

This book constitutes the refereed proceedings of the 12th International Symposium on Search-Based Software Engineering, SSBSE 2020, held in Bari, Italy, in October 2020. The 13 research papers and 5 short papers presented together with 1 keynote were carefully reviewed and selected from 34 submissions. SBSE is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges - from test generation, to design refactoring, to process organization - can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to attain human-competitive results. Due to the Corona pandemic SSBSE 2020 was held as a virtual event.

ISBN: 9783030597627

Standard No.: 10.1007/978-3-030-59762-7doiSubjects--Topical Terms:

669457
Mathematics of Computing.

LC Class. No.: QA76.758

Dewey Class. No.: 005.1

Search-Based Software Engineering = 12th International Symposium, SSBSE 2020, Bari, Italy, October 7–8, 2020, Proceedings /
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