Idan Amit

According to our database, Idan Amit authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Large Scale Survey of Motivation in Software Development and Analysis of its Validity.

Idan Amit, Dror G. Feitelson

CoRR, 2024

Motivation Research Using Labeling Functions.

Idan Amit, Dror G. Feitelson

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2022

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, Kristof Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel

Empir. Softw. Eng., 2022

2021

Corrective commit probability: a measure of the effort invested in bug fixing.

Idan Amit, Dror G. Feitelson

Softw. Qual. J., 2021

End to End Software Engineering Research.

Idan Amit

CoRR, 2021

ComSum: Commit Messages Summarization and Meaning Preservation.

Leshem Choshen, Idan Amit

CoRR, 2021

Follow Your Nose - Which Code Smells are Worth Chasing?

Idan Amit, Nili Ben Ezra, Dror G. Feitelson

CoRR, 2021

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, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel

CoRR, 2020

The Corrective Commit Probability Code Quality Metric.

Idan Amit, Dror G. Feitelson

CoRR, 2020

2019

Which Refactoring Reduces Bug Rate?

Idan Amit, Dror G. Feitelson

Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, 2019

Malware Detection on Highly Imbalanced Data through Sequence Modeling.

Rajvardhan Oak, Min Du, David Yan, Harshvardhan C. Takawale, Idan Amit

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

2018

Machine Learning in Cyber-Security - Problems, Challenges and Data Sets.

Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger

CoRR, 2018