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[3]
2024 | Conference Paper | LibreCat-ID: 53958
Johnson, O., Piskachev, G., Krishnamurthy, R., & Bodden, E. (2024). Detecting Security-Relevant Methods using Multi-label Machine Learning. Proceedings of the 46th International Conference on Software Engineering, IDE Workshop. https://doi.org/10.48550/ARXIV.2403.07501
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[2]
2023 | Conference Paper | LibreCat-ID: 41812
Luo, L., Piskachev, G., Krishnamurthy, R., Dolby, J., Schäf, M., & Bodden, E. (2023). Model Generation For Java Frameworks. IEEE International Conference on Software Testing, Verification and Validation (ICST).
LibreCat
 
[1]
2022 | Conference Paper | LibreCat-ID: 33838
Krishnamurthy, R., Piskachev, G., & Bodden, E. (2022). To what extent can we analyze Kotlin programs using existing Java taint analysis tools?
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3 Publications

Mark all

[3]
2024 | Conference Paper | LibreCat-ID: 53958
Johnson, O., Piskachev, G., Krishnamurthy, R., & Bodden, E. (2024). Detecting Security-Relevant Methods using Multi-label Machine Learning. Proceedings of the 46th International Conference on Software Engineering, IDE Workshop. https://doi.org/10.48550/ARXIV.2403.07501
LibreCat | DOI
 
[2]
2023 | Conference Paper | LibreCat-ID: 41812
Luo, L., Piskachev, G., Krishnamurthy, R., Dolby, J., Schäf, M., & Bodden, E. (2023). Model Generation For Java Frameworks. IEEE International Conference on Software Testing, Verification and Validation (ICST).
LibreCat
 
[1]
2022 | Conference Paper | LibreCat-ID: 33838
Krishnamurthy, R., Piskachev, G., & Bodden, E. (2022). To what extent can we analyze Kotlin programs using existing Java taint analysis tools?
LibreCat
 

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Citation Style: APA

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