Search results

  • 2024

    TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools

    Venkatesh, A. P. S., Sabu, S., Wang, J., Mir, A. M., Li, L. & Bodden, E., 2024, Proceedings - 2024 ACM/IEEE 46th International Conference on Software Engineering: Companion, ICSE-Companion 2024. IEEE, p. 49-53 5 p. (Proceedings - International Conference on Software Engineering).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    17 Downloads (Pure)
  • 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 volumeConference contributionScientificpeer-review

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    5 Citations (Scopus)
    40 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 volumeConference contributionScientificpeer-review

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    30 Citations (Scopus)
    88 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 volumeConference contributionScientificpeer-review

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    11 Citations (Scopus)
    99 Downloads (Pure)
  • 2020

    An enhanced KNN-based twin support vector machine with stable learning rules

    Nasiri, J. A. & Mir, A. M., 2020, In: Neural Computing and Applications. 32, 16, p. 12949-12969 21 p.

    Research output: Contribution to journalArticleScientificpeer-review

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    9 Citations (Scopus)
    45 Downloads (Pure)