Coronation 发表于 2025-3-28 16:51:08
Conference proceedings 2019Estonia, in August/September 2019. The 9 research papers and 3 short papers presented together with 1 keynote and 1 challenge paper were carefully reviewed and selected from 28 submissions. SSBSE is a research area focused on the formulation of software engineering problems as search problems, andcraven 发表于 2025-3-28 19:43:39
http://reply.papertrans.cn/87/8631/863049/863049_42.pngeffrontery 发表于 2025-3-29 02:46:52
Dorylus: An Ant Colony Based Tool for Automated Test Case Generation faster on average. The second benchmark consists of 936 Java programs from SF110 and suggests Dorylus generalises well as it achieves 79% coverage on average whereas the best performing of three EvoSuite algorithms reaches 89%.TATE 发表于 2025-3-29 06:24:26
Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone? I conclude my keynote by discussing best practices for a rigorous and realistic empirical evaluation of search-based predictive models, a . to facilitate the adoption of prediction models in software industry practices.唤起 发表于 2025-3-29 08:37:31
0302-9743 Tallinn, Estonia, in August/September 2019. The 9 research papers and 3 short papers presented together with 1 keynote and 1 challenge paper were carefully reviewed and selected from 28 submissions. SSBSE is a research area focused on the formulation of software engineering problems as search prob善于 发表于 2025-3-29 11:40:24
Constructing Search Spaces for Search-Based Software Testing Using Neural Networkstrace. The outputs of the NN form a convenient search space which is strongly representative of a number of properties. We believe that such a search space can be readily used for driving a search towards specific properties of interest..For a diversification strategy, we propose the use of an autoe拒绝 发表于 2025-3-29 15:54:29
General Program Synthesis Using Guided Corpus Generation and Automatic Refactoringenerate a rank-ordered search space of what it sees as the most promising programs; we then iterate through this list up to a given maximum search depth. Our results show that this approach is able to find up to 60% of a human-useful target set of programs that it has never seen before, including ap颠簸地移动 发表于 2025-3-29 23:35:17
http://reply.papertrans.cn/87/8631/863049/863049_48.pngMETA 发表于 2025-3-30 02:52:30
Bio-Inspired Optimization of Test Data Generation for Concurrent Softwared-memory programs. Twelve concurrent Java programs were included and the results suggest BioConcST is a promising approach, since in all the testing criteria evaluated, it achieved a better coverage and the effect-size measure was large in most cases.NAUT 发表于 2025-3-30 04:27:37
Towards Automated Boundary Value Testing with Program Derivatives and Searchw program derivatives can be used as and within fitness functions..This brief note does not allow a deeper, empirical investigation but we use a simple illustrative example throughout to introduce the main ideas. By combining program derivatives with search, we thus propose a practical as well as th