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Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?

, , , and . ISSRE, page 169-180. IEEE, (2022)

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StubCoder: Automated Generation and Repair of Stub Code for Mock Objects., , , , , , , , and . ACM Trans. Softw. Eng. Methodol., 33 (1): 16:1-16:31 (January 2024)Understanding and detecting callback compatibility issues for Android applications., , , and . ASE, page 532-542. ACM, (2018)Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts., , , , , and . ASE, page 630-641. IEEE, (2021)RIDA: Cross-App Record and Replay for Android., , , and . ICST, page 246-257. IEEE, (2023)Automatic Maturity Rating for Android Apps., , , and . Internetware, page 16-27. ACM, (2022)ωTest: WebView-Oriented Testing for Android Applications., , , and . ISSTA, page 992-1004. ACM, (2023)CCT5: A Code-Change-Oriented Pre-trained Model., , , , , and . ESEC/SIGSOFT FSE, page 1509-1521. ACM, (2023)An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles., , , , , , and . ICSE, page 210:1-210:13. ACM, (2024)CHECKERDROID : Automated Quality Assurance for Smartphone Applications., , , and . Int. J. Softw. Informatics, 8 (1): 21-41 (2014)MirrorFair: Fixing Fairness Bugs in Machine Learning Software via Counterfactual Predictions., , , , , and . Proc. ACM Softw. Eng., 1 (FSE): 2121-2143 (2024)