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Bayesian specification learning for finding API usage errors.

, , and . ESEC/SIGSOFT FSE, page 151-162. ACM, (2017)

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Path-Sensitive Backward Slicing., , , and . SAS, volume 7460 of Lecture Notes in Computer Science, page 231-247. Springer, (2012)Neural Sketch Learning for Conditional Program Generation., , , and . ICLR, OpenReview.net, (2018)Boosting concolic testing via interpolation., , and . ESEC/SIGSOFT FSE, page 48-58. ACM, (2013)Detecting Privacy-Sensitive Code Changes with Language Modeling., , , , and . MSR, page 761-762. ACM, (2022)Towards Predictive Modeling of Message-Passing Communication., , , , and . HPCC, page 482-487. IEEE, (2009)Counterfactual Explanations for Models of Code., , , and . Software Engineering, volume P-343 of LNI, page 91-92. Gesellschaft für Informatik e.V., (2024)TRACER: A Symbolic Execution Tool for Verification., , , and . CAV, volume 7358 of Lecture Notes in Computer Science, page 758-766. Springer, (2012)Scalable Statistical Root Cause Analysis on App Telemetry., , , and . ICSE (SEIP), page 288-297. IEEE, (2021)Learning to Learn to Predict Performance Regressions in Production at Meta., , , , , , , , and . CoRR, (2022)Bayesian specification learning for finding API usage errors., , and . ESEC/SIGSOFT FSE, page 151-162. ACM, (2017)