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55 Publications
2023 | Conference Paper | LibreCat-ID: 41812
L. Luo, G. Piskachev, R. Krishnamurthy, J. Dolby, M. Schäf, and E. Bodden, “Model Generation For Java Frameworks,” 2023.
LibreCat
2023 | Conference Paper | LibreCat-ID: 43395
R. Trentinaglia, S. Merschjohann, M. Fockel, and H. Eikerling, “Eliciting Security Requirements – An Experience Report,” 2023, doi: 10.1007/978-3-031-29786-1_25.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 49439
G. Piskachev, M. Becker, and E. Bodden, “Can the configuration of static analyses make resolving security vulnerabilities more effective? - A user study,” Empirical Software Engineering, vol. 28, no. 5, Art. no. 118, 2023, doi: 10.1007/s10664-023-10354-3.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 29847
M. Fockel, D. Schubert, R. Trentinaglia, H. Schulz, and W. Kirmair, “Semi-automatic Integrated Safety and Security Analysis for Automotive Systems,” 2022, doi: 10.5220/0010778500003119.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 29844
T. Koch, S. Trippel, S. Dziwok, and E. Bodden, “Integrating Security Protocols in Scenario-based Requirements Specifications,” 2022, doi: 10.5220/0010783300003119.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 34298
R. Trentinaglia, “Deriving model-based safety and security assurance cases from design rationale of countermeasure patterns,” 2022, doi: 10.1145/3550356.3558508.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 31071
J. Holtmann, J. Deantoni, and M. Fockel, “Early timing analysis based on scenario requirements and platform models,” Software and Systems Modeling, 2022, doi: 10.1007/s10270-022-01002-3.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33836
G. Piskachev, J. Späth, I. Budde, and E. Bodden, “Fluently specifying taint-flow queries with fluentTQL,” Empirical Software Engineering, vol. 27, no. 5, pp. 1–33, 2022.
LibreCat
2022 | Conference Paper | LibreCat-ID: 33838
R. Krishnamurthy, G. Piskachev, and E. Bodden, “To what extent can we analyze Kotlin programs using existing Java taint analysis tools?” 2022.
LibreCat
2022 | Conference Paper | LibreCat-ID: 33837
G. Piskachev, S. Dziwok, T. Koch, S. Merschjohann, and E. Bodden, “How far are German companies in improving security through static program analysis tools?” 2022.
LibreCat
2021 | Conference Paper | LibreCat-ID: 21326
J. Holtmann, J.-P. Steghöfer, M. Rath, and D. Schmelter, “Cutting through the Jungle: Disambiguating Model-based Traceability Terminology (Extended Abstract),” in Software Engineering 2021, Remote / Braunschweig, Germany , 2021, vol. P-310, pp. 59–60.
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2021 | Journal Article | LibreCat-ID: 23526 | 
D. Schubert, H. Eikerling, and J. Holtmann, “Application-Aware Intrusion Detection: A Systematic Literature Review, Implications for Automotive Systems, and Applicability of AutoML,” Frontiers in Computer Science, vol. 3, 2021.
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| DOI
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2021 | Preprint | LibreCat-ID: 23534
S. Dziwok, T. Koch, S. Merschjohann, B. Budweg, and S. Leuer, “AppSecure.nrw Software Security Study,” arXiv:2108.11752. 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 23374
S. Kummita, G. Piskachev, J. Spath, and E. Bodden, “Qualitative and Quantitative Analysis of Callgraph Algorithms for Python,” 2021, doi: 10.1109/iccq51190.2021.9392986.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29715
J.-P. Steghofer et al., “The MobSTr Dataset – An Exemplar for Traceability and Model-based Safety Assessment,” 2021, doi: 10.1109/re51729.2021.00062.
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| DOI
2021 | Conference Paper | LibreCat-ID: 26407
G. Piskachev, R. Krishnamurthy, and E. Bodden, “SecuCheck: Engineering configurable taint analysis for software developers,” 2021.
LibreCat
2020 | Conference Paper | LibreCat-ID: 20518
T. Koch, S. Dziwok, J. Holtmann, and E. Bodden, “Scenario-based Specification of Security Protocols and Transformation to Security Model Checkers,” 2020, doi: 10.1145/3365438.3410946.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 23376
G. Piskachev, L. Nguyen Quang Do, O. Johnson, and E. Bodden, “SWAN_ASSIST: Semi-Automated Detection of Code-Specific, Security-Relevant Methods,” 2020, doi: 10.1109/ase.2019.00110.
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