MSR4P&S 2022 – Proceedings

1st International Workshop on Mining Software Repositories Applications for Privacy and Security (MSR4P&S 2022)

Frontmatter

Keynote

Mining Software Repositories for Security: Data Quality Issues Lessons from Trenches (Keynote)
Muhammad Ali Babar
(University of Adelaide, Australia)


@InProceedings{MSR4P&S22p1, author = {Muhammad Ali Babar}, title = {Mining Software Repositories for Security: Data Quality Issues Lessons from Trenches (Keynote)}, booktitle = {Proc.\ MSR4P&S}, publisher = {ACM}, pages = {1-0}, doi = {10.1145/3549035.3570192}, year = {2022}, } Publisher's Version Article: fsews22msrpsmain-key1-p doi:10.1145/3549035.3570192

Assessing Privacy

Mining Software Repositories for Patternizing Attack-and-Defense Co-Evolution
Samiha Shimmi and Mona Rahimi
(Northern Illinois University, USA)


@InProceedings{MSR4P&S22p10, author = {Samiha Shimmi and Mona Rahimi}, title = {Mining Software Repositories for Patternizing Attack-and-Defense Co-Evolution}, booktitle = {Proc.\ MSR4P&S}, publisher = {ACM}, pages = {10-9}, doi = {10.1145/3549035.3561181}, year = {2022}, } Publisher's Version Article: fsews22msrpsmain-p29-p doi:10.1145/3549035.3561181

Assessing Software Privacy using the Privacy Flow-Graph
Feiyang Tang and Bjarte M. Østvold
(Norwegian Computing Center, Norway)


@InProceedings{MSR4P&S22p19, author = {Feiyang Tang and Bjarte M. Østvold}, title = {Assessing Software Privacy using the Privacy Flow-Graph}, booktitle = {Proc.\ MSR4P&S}, publisher = {ACM}, pages = {19-18}, doi = {10.1145/3549035.3561185}, year = {2022}, } Publisher's Version Article: fsews22msrpsmain-p94-p doi:10.1145/3549035.3561185

Vulnerabilities

An Exploratory Study on the Relationship of Smells and Design Issues with Software Vulnerabilities
Sahrima Jannat Oishwee, Zadia Codabux, and Natalia Stakhanova
(University of Saskatchewan, Canada)


@InProceedings{MSR4P&S22p28, author = {Sahrima Jannat Oishwee and Zadia Codabux and Natalia Stakhanova}, title = {An Exploratory Study on the Relationship of Smells and Design Issues with Software Vulnerabilities}, booktitle = {Proc.\ MSR4P&S}, publisher = {ACM}, pages = {28-27}, doi = {10.1145/3549035.3561182}, year = {2022}, } Publisher's Version Article: fsews22msrpsmain-p47-p doi:10.1145/3549035.3561182

Counterfeit Object-Oriented Programming Vulnerabilities: An Empirical Study in Java
Joanna C. S. Santos, Xueling Zhang, and Mehdi Mirakhorli
(University of Notre Dame, USA; Rochester Institute of Technology, USA)


@InProceedings{MSR4P&S22p37, author = {Joanna C. S. Santos and Xueling Zhang and Mehdi Mirakhorli}, title = {Counterfeit Object-Oriented Programming Vulnerabilities: An Empirical Study in Java}, booktitle = {Proc.\ MSR4P&S}, publisher = {ACM}, pages = {37-36}, doi = {10.1145/3549035.3561183}, year = {2022}, } Publisher's Version Article: fsews22msrpsmain-p56-p doi:10.1145/3549035.3561183

SecurityEval Dataset: Mining Vulnerability Examples to Evaluate Machine Learning-Based Code Generation Techniques
Mohammed Latif Siddiq and Joanna C. S. Santos
(University of Notre Dame, USA)


@InProceedings{MSR4P&S22p46, author = {Mohammed Latif Siddiq and Joanna C. S. Santos}, title = {SecurityEval Dataset: Mining Vulnerability Examples to Evaluate Machine Learning-Based Code Generation Techniques}, booktitle = {Proc.\ MSR4P&S}, publisher = {ACM}, pages = {46-45}, doi = {10.1145/3549035.3561184}, year = {2022}, } Publisher's Version Article: fsews22msrpsmain-p89-p doi:10.1145/3549035.3561184

proc time: 0.02