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

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locus-ceruleus

Automated Testing of Web Applications with TESTARms, based on random choice and .-learning with different parameter settings. Statistical analysis shows the superiority of the latter provided an adequate choice of parameters; furthermore, the results point to interesting areas for improvement.

GRATE

Search-Based Generalization and Refinement of Code Templatesin specifying templates. This approach uses a suite of mutation operators to recommend changes to a given template, such that it matches with a desired set of code snippets. We evaluate our approach on the problem of inferring a code template that matches all instances of a design pattern, given one instance as a starting template.

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Conference proceedings 2016ere 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..

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阐释

HOMI: Searching Higher Order Mutants for Software Improvementfiner than in previous work while scalability remains. HOMI applies the NSGAII algorithm to search for higher order mutants that improve the non-functional properties of a program while passing all its regression tests. Experimental results on four real-world C programs shows that up to 14.7 % impro

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Search Based Test Suite Minimization for Fault Detection and Localization: A Co-driven Method are usually used. As there are different goals of the two processes, i.e., detect faults early and locate faults accurately, different information of test cases are required and thus different subsets of test cases are selected to achieve the goals. In general, fault localization is adjacent to fau

男学院

Validation of Constraints Among Configuration Parameters Using Search-Based Combinatorial Interactiochniques have been specifically developed to drive the systematic testing of such highly-configurable systems. In order to apply these, it is paramount to devise a model of parameter configurations which conforms to the software implementation. This is a non-trivial task. Therefore, we extend tradit

疯狂

Search-Based Testing of Procedural Programs: Iterative Single-Target or Multi-target Approach?te whole test suites by considering simultaneously all targets (. branches) defined by the coverage criterion (.). The goal of whole suite approaches is to overcome the problem of wasting search budget that iterative single-target approaches (which iteratively generate test cases for each target) ca

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