Machine Learning in Cyber-Security - Problems, Challenges and Data Sets. - Idan Amit; John Matherly; William Hewlett; Zhi Xu; Yinnon Meshi; Yigal Weinberger (CoRR, 2018)

Malware Detection on Highly Imbalanced Data through Sequence Modeling. - Rajvardhan Oak; Min Du 003; David Yan; Harshvardhan C. Takawale; Idan Amit (AISec@CCS, 2019)

Which Refactoring Reduces Bug Rate? - Idan Amit; Dror G. Feitelson (PROMISE, 2019)

The Corrective Commit Probability Code Quality Metric. - Idan Amit; Dror G. Feitelson (CoRR, 2020)

Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. - Steffen Herbold; Alexander Trautsch; Benjamin Ledel; Alireza Aghamohammadi; Taher Ahmed Ghaleb; Kuljit Kaur Chahal; Tim Bossenmaier; Bhaveet Nagaria; Philip Makedonski; Matin Nili Ahmadabadi; Kristóf Szabados; Helge Spieker; et al. (CoRR, 2020)

Follow Your Nose - Which Code Smells are Worth Chasing? - Idan Amit; Nili Ben Ezra; Dror G. Feitelson (CoRR, 2021)

ComSum: Commit Messages Summarization and Meaning Preservation. - Leshem Choshen; Idan Amit (CoRR, 2021)

End to End Software Engineering Research. - Idan Amit (CoRR, 2021)

Corrective commit probability: a measure of the effort invested in bug fixing. - Idan Amit; Dror G. Feitelson (Softw. Qual. J., 2021)

A fine-grained data set and analysis of tangling in bug fixing commits. - Steffen Herbold; Alexander Trautsch; Benjamin Ledel; Alireza Aghamohammadi; Taher Ahmed Ghaleb; Kuljit Kaur Chahal; Tim Bossenmaier; Bhaveet Nagaria; Philip Makedonski; Matin Nili Ahmadabadi; Kristóf Szabados; Helge Spieker; et al. (Empir. Softw. Eng., 2022)

Motivation Research Using Labeling Functions. - Idan Amit; Dror G. Feitelson (EASE, 2024)

A Large Scale Survey of Motivation in Software Development and Analysis of its Validity. - Idan Amit; Dror G. Feitelson (CoRR, 2024)