S.A.M. Mir

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1 Article

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2023
On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem
Mir, A. M., Keshani, M. & Proksch, S., 2023, Proceedings of the 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). Ceballos, C. (ed.). Piscataway: IEEE, p. 201-211 11 p.
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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1 Citation (Scopus)

25 Downloads (Pure)
2022
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python
Mir, A. M., Latoskinas, E., Proksch, S. & Gousios, G., 2022, Proceedings - 2022 ACM/IEEE 44th International Conference on Software Engineering, ICSE 2022. IEEE, p. 2241-2252 12 p. (Proceedings - International Conference on Software Engineering; vol. 2022-May).
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Open Access
File
19 Citations (Scopus)

52 Downloads (Pure)
2021
ManyTypes4Py: A benchmark python dataset for machine learning-based type inference
Mir, A. M., Latoskinas, E. & Gousios, G., 2021, 2021 IEEE/ACM 18th International Conference on Mining Software Repositories, MSR 2021: Proceedings. O'Conner, L. (ed.). Piscataway: IEEE, p. 585-589 5 p. 9463150. (2021 IEEE/ACM 18TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2021)).
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Open Access
File
9 Citations (Scopus)

77 Downloads (Pure)

S.A.M. Mir

Research output

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On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

ManyTypes4Py: A benchmark python dataset for machine learning-based type inference