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Lightweight detection of Android-specific code smells: The aDoctor project.

, , , , and . SANER, page 487-491. IEEE Computer Society, (2017)

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A graph-based dataset of commit history of real-world Android apps., , , , , and . MSR, page 30-33. ACM, (2018)Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers., , , , and . CoRR, (2021)Toward Automated Exploit Generation for Known Vulnerabilities in Open-Source Libraries., , , and . ICPC, page 396-400. IEEE, (2021)Toward a catalog of software quality metrics for infrastructure code., , , and . J. Syst. Softw., (2020)DeepIaC: deep learning-based linguistic anti-pattern detection in IaC., , , , , , , and . MaLTeSQuE@ESEC/SIGSOFT FSE, page 7-12. ACM, (2020)SoCRATES: Scala radar for test smells., , and . SCALA@ECOOP, page 22-26. ACM, (2019)FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code., , , , , , , and . Empir. Softw. Eng., 27 (7): 178 (2022)Lightweight detection of Android-specific code smells: The aDoctor project., , , , and . SANER, page 487-491. IEEE Computer Society, (2017)Toward a Search-Based Approach to Support the Design of Security Tests for Malicious Network Traffic., , , , , , and . EASE, page 624-628. ACM, (2024)Data Quality Assessment in the Wild: Findings from GitHub., , , , and . EASE, page 120-129. ACM, (2024)