Abstract
The automation of software testing promises to delegate to machines what is otherwise the most labor-intensive and expensive part of software development. The past decade has seen a resurgence in research interest for this problem, bringing about significant progress. In this article, we provide an overview of automated test generation for software, and then discuss recent developments that have had significant impact on real-life software.
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CITATION STYLE
Candea, G., & Godefroid, P. (2019). Automated software test generation: Some challenges, solutions, and recent advances. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10000, pp. 505–531). Springer. https://doi.org/10.1007/978-3-319-91908-9_24
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