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A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research.

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A Constraint-Aware Optimization Method for Concurrency Bug Diagnosis Service in a Distributed Cloud Environment., and . Secur. Commun. Networks, (2018)A comprehensive study on security bug characteristics., , , , , and . J. Softw. Evol. Process., (2021)Learning to Detect Memory-related Vulnerabilities., , , , , , , , and . ACM Trans. Softw. Eng. Methodol., 33 (2): 43:1-43:35 (February 2024)Bug Question Answering with Pretrained Encoders., and . SANER, page 654-660. IEEE, (2021)A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research., , , , , , , , , and 1 other author(s). CoRR, (2024)Towards the identification of bug entities and relations in bug reports., , , , , and . Autom. Softw. Eng., 29 (1): 24 (2022)Automatic software vulnerability classification by extracting vulnerability triggers., , , , , and . J. Softw. Evol. Process., (February 2024)Automated event extraction of CVE descriptions., , , , , and . Inf. Softw. Technol., (June 2023)Performance Evaluation of Data Race Detection Based on Thread Sharing Analysis With Different Granularities: An Empirical Study., , , , and . IEEE Access, (2019)ODDFuzz: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing., , , , , , , , , and 2 other author(s). SP, page 2726-2743. IEEE, (2023)