解冻
发表于 2025-3-23 13:15:13
Arthur Marchdefault question asked by tech support. Similarly, it is known in search-based testing that metaheuristics might get trapped in a plateau during a search. As a human, one can look at the gradient of the fitness curve and decide to restart the search, so as to hopefully improve the results of the opt
allude
发表于 2025-3-23 16:04:21
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mortgage
发表于 2025-3-23 19:09:35
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SLAG
发表于 2025-3-23 23:20:04
Arthur Marchnds on interactions with other external services over a network (e.g., external REST APIs). Although several techniques in the research literature have been shown to be effective at generating test cases in many different software testing contexts, dealing with external services is still a major res
大沟
发表于 2025-3-24 02:40:42
Arthur Marchs, etc.). Early work with adversarial examples shows that they can hinder a DNN’s ability to correctly process inputs. These techniques largely focused on identifying individual causes of failure, emphasizing that minimal perturbations can cause a DNN to fail. Recent research suggests that . adversa
平静生活
发表于 2025-3-24 10:04:36
Arthur Marchnds on interactions with other external services over a network (e.g., external REST APIs). Although several techniques in the research literature have been shown to be effective at generating test cases in many different software testing contexts, dealing with external services is still a major res
拱形面包
发表于 2025-3-24 13:41:52
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暂时别动
发表于 2025-3-24 15:46:27
ing fitness functions that are automatically computed from the feedback. Thus, the designer will just interact with only one solution generated by the mono-objective search. We evaluated our approach on a set of metamodel/model co-evolution case studies and compared it to existing fully automated an
类似思想
发表于 2025-3-24 21:07:10
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侧面左右
发表于 2025-3-24 23:28:04
Arthur Marchues are killed. In this paper, we adopt and evaluate the . strategy for the problem of test case generation. Our work indicates that use of this restart strategy does . generally lead to gains in the quality metrics, when instantiated with the best parameters found in the literature.