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Abstract. Automatically generating high-quality test in- puts is a central problem in software testing and maintenance. Although being extensively studied, ...
Dec 19, 2019 · Perspectives on search strategies in automated test input generation · Volume 14, article number 143202, (2020) · Cite this article.
PDF | On Jun 1, 2020, Yang Cao and others published Perspectives on search strategies in automated test input generation | Find, read and cite all the research
The two most exten- sively studied approaches to automated test input generation are fuzzing [2] and dynamic symbolic execution [3,4] (DSE). Both fuzzing and ...
Yang CAO,Yanyan JIANG,Chang XU, et al. Perspectives on search strategies in automated test input generation[J]. Front. Comput. Sci., 2020, 14(3): 143202.
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This study provides an overview of key concepts along with the taxonomy of existing hybrid fuzzing tools, problems, and solutions that have been developed ...
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We proposed and implemented a fast and standardized method for search term selection using Natural Language Processing (NLP) and co-occurrence networks.
Our results provide a clear picture of the state of the art in input generation for Android apps and identify future research directions that, if suitably ...
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