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Titlebook: Search-Based Software Engineering; 14th International S Mike Papadakis,Silvia Regina Vergilio Conference proceedings 2022 The Editor(s) (if

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楼主: 大脑
发表于 2025-3-25 04:46:55 | 显示全部楼层
Multi-objective Genetic Improvement: A Case Study with EvoSuiteemory usage of EvoSuite. We find improvements to execution time of up to 77.8% and improvements to memory of up to 9.2% on our test set. We also release our code, providing the first open source multi-objective genetic improvement tooling for improvement of memory and runtime for Java.
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An Empirical Comparison of EvoSuite and DSpot for Improving Developer-Written Test Suites with Respeasure the quality of their test suites. One aim of . is to improve developer-written test cases so that they kill more mutants and potentially find more real faults. However, these tools tend to be limited in the types of changes and improvements they can make to tests, while also receiving little g
发表于 2025-3-25 22:20:58 | 显示全部楼层
Efficient Fairness Testing Through Hash-Based Samplingfairness is an approach to algorithm fairness concern. Verification Based Testing (VBT) is a state-of-the-art testing technique for individual fairness, that leverages verification techniques using constraint solving. In this paper, we develop a black-box individual fairness testing technique .-X, w
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Guess What: Test Case Generation for Javascript with Unsupervised Probabilistic Type Inferencetest cases. Dynamically typed languages like JavaScript, however, do not have this type information. In this paper, we propose an unsupervised probabilistic type inference approach to infer data types within the test case generation process. We evaluated the proposed approach on a benchmark of 98 un
发表于 2025-3-26 11:34:45 | 显示全部楼层
EvoAttack: An Evolutionary Search-Based Adversarial Attack for Object Detection Modelspplications. Applications include those that are safety critical, where the failure of the system may cause serious harm, injuries, or even deaths. Adversarial examples are expected inputs that are maliciously modified such that the machine learning models fail to classify them correctly. While a nu
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Applying Combinatorial Testing to Verification-Based Fairness Testing a new approach to fairness testing named .-., which applies combinatorial .-way testing (CT) to Verification Based Testing (.). . is a state-of-the-art fairness testing method, which represents a given classifier under test in logical constraints and searches for test cases by solving such constrai
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