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Idan Amit
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2020 – today
- 2024
- [c3]Idan Amit, Dror G. Feitelson:
Motivation Research Using Labeling Functions. EASE 2024: 222-231 - [i7]Idan Amit, Dror G. Feitelson:
A Large Scale Survey of Motivation in Software Development and Analysis of its Validity. CoRR abs/2404.08303 (2024) - 2022
- [j2]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:
A fine-grained data set and analysis of tangling in bug fixing commits. Empir. Softw. Eng. 27(6): 125 (2022) - 2021
- [j1]Idan Amit, Dror G. Feitelson:
Corrective commit probability: a measure of the effort invested in bug fixing. Softw. Qual. J. 29(4): 817-861 (2021) - [i6]Idan Amit, Nili Ben Ezra, Dror G. Feitelson:
Follow Your Nose - Which Code Smells are Worth Chasing? CoRR abs/2103.01861 (2021) - [i5]Leshem Choshen, Idan Amit:
ComSum: Commit Messages Summarization and Meaning Preservation. CoRR abs/2108.10763 (2021) - [i4]Idan Amit:
End to End Software Engineering Research. CoRR abs/2112.11858 (2021) - 2020
- [i3]Idan Amit, Dror G. Feitelson:
The Corrective Commit Probability Code Quality Metric. CoRR abs/2007.10912 (2020) - [i2]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:
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. CoRR abs/2011.06244 (2020)
2010 – 2019
- 2019
- [c2]Rajvardhan Oak, Min Du, David Yan, Harshvardhan C. Takawale, Idan Amit:
Malware Detection on Highly Imbalanced Data through Sequence Modeling. AISec@CCS 2019: 37-48 - [c1]Idan Amit, Dror G. Feitelson:
Which Refactoring Reduces Bug Rate? PROMISE 2019: 12-15 - 2018
- [i1]Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger:
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets. CoRR abs/1812.07858 (2018)
Coauthor Index
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last updated on 2024-08-05 21:19 CEST by the dblp team
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