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Are automatically-detected code anomalies relevant to architectural modularity?: an exploratory analysis of evolving systems.

, , , , , and . AOSD, page 167-178. ACM, (2012)

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Too Quiet in the Library: A Study of Native Third-Party Libraries in Android., , and . CoRR, (2019)Using dynamic execution traces and program invariants to enhance behavioral model inference., , , , and . ICSE (2), page 179-182. ACM, (2010)978-1-60558-719-6.Towards Automated Driving Violation Cause Analysis in Scenario-Based Testing for Autonomous Driving Systems., , , , and . CoRR, (2024)Obtaining ground-truth software architectures., , , and . ICSE, page 901-910. IEEE Computer Society, (2013)Enhancing architectural recovery using concerns., , , , and . ASE, page 552-555. IEEE Computer Society, (2011)Automatic generation of inter-component communication exploits for Android applications., , , and . ESEC/SIGSOFT FSE, page 661-671. ACM, (2017)SAIN: A Community-Wide Software Architecture INfrastructure., , , , , , and . ICSE Companion, page 336-337. IEEE, (2023)Self-protection of Android systems from inter-component communication attacks., , and . ASE, page 726-737. ACM, (2018)ViVA: a visualization and analysis tool for distributed event-based systems., , , and . ICSE Companion, page 580-583. ACM, (2014)A Framework for Obtaining the Ground-Truth in Architectural Recovery., , , and . WICSA/ECSA, page 292-296. IEEE, (2012)