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Titlebook: Search Based Software Engineering; 8th International Sy Federica Sarro,Kalyanmoy Deb Conference proceedings 2016 Springer International Pub

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发表于 2025-3-21 18:15:38 | 显示全部楼层 |阅读模式
书目名称Search Based Software Engineering
副标题8th International Sy
编辑Federica Sarro,Kalyanmoy Deb
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Search Based Software Engineering; 8th International Sy Federica Sarro,Kalyanmoy Deb Conference proceedings 2016 Springer International Pub
描述.This book constitutes the refereed proceedings of the 8th International Symposium on Search-Based Software Engineering, SSBSE 2016, held in Raleigh, NC, USA, in October 2016.The 13 revised full papers and 4 short papers presented together with 7 challenge track and 4 graduate student track papers were carefully reviewed and selected from 48 submissions. Search Based Software Engineering (SBSE) studies the application of meta-heuristic optimization techniques to various software engineering problems, ranging from requirements engineering to software testing and maintenance..
出版日期Conference proceedings 2016
关键词automatic software repair; combinatorial testing; evolutionary computation; genetic algorithms; software
版次1
doihttps://doi.org/10.1007/978-3-319-47106-8
isbn_softcover978-3-319-47105-1
isbn_ebook978-3-319-47106-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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发表于 2025-3-21 20:28:41 | 显示全部楼层
An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSEgenerational reasoning to find interesting subspaces but relies on the underlying dimensions of the solution space. Experiments with Software Engineering (SE) models shows that SWAY’s performance improvement is competitive with standard MOEAs while, terminating over an order of magnitude faster.
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Challenges in Using Search-Based Test Generation to Identify Real Faults in Mockito and assessed the ability of the EvoSuite tool to detect these faults. In our study, EvoSuite was only able to detect one of the 17 faults. Analysis of the 16 undetected faults yields lessons in how to improve generation tools. We offer these faults to the community to assist in benchmarking future test generation advances.
发表于 2025-3-22 09:46:42 | 显示全部楼层
0302-9743 he application of meta-heuristic optimization techniques to various software engineering problems, ranging from requirements engineering to software testing and maintenance..978-3-319-47105-1978-3-319-47106-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Improved Crossover Operators for Genetic Programming for Program Repairors that faithfully respect this subspace division, improving search performance. Our experiments on 43 programs validate our insight, and show that the . without memorization performed best, improving the fix rate by 34 %.
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