Deep Learning to Find Bugs

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A Survey of Machine Learning for Big Code and Naturalness (2017, background): “encesofAPIcallsin alearnedprobabilistic automaton. Theyuse the model to detect highly improbable sequences of API calls detecting real-world bugs in Android code. Allamanis et al. [8], Pradel and Sen [157] use various elements from code context to detect speciﬁc kinds of bugs, such as variable and o”
Typilus: neural type hints (2020, background): “der area of program analysis, machine learning has been utilised in a variety of settings. Recent work has focused on detecting specific kinds of bugs, such as variable misuses and argument swappings [5, 20, 50, 53, 58] showing that “soft” patterns contain valuable information that can catch many re”