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

Authors: Amit, Idan, Feitelson, Dror G.

Subject Terms: Computer Science - Software Engineering, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2404.08303

End to End Software Engineering Research

Authors: Amit, Idan

Subject Terms: Computer Science - Software Engineering, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2112.11858

ComSum: Commit Messages Summarization and Meaning Preservation

Authors: Choshen, Leshem, Amit, Idan

Subject Terms: Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Software Engineering

Access URL: http://arxiv.org/abs/2108.10763

Follow Your Nose -- Which Code Smells are Worth Chasing?

Authors: Amit, Idan, Ezra, Nili Ben, Feitelson, Dror G.

Subject Terms: Computer Science - Software Engineering, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2103.01861

A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits

Authors: Herbold, Steffen, Trautsch, Alexander, Ledel, Benjamin, Aghamohammadi, Alireza, Ghaleb, Taher Ahmed, Chahal, Kuljit Kaur, Bossenmaier, Tim, Nagaria, Bhaveet, Makedonski, Philip, Ahmadabadi, Matin Nili, Szabados, Kristof, Spieker, Helge, Madeja, Matej, Hoy, Nathaniel, Lenarduzzi, Valentina, Wang, Shangwen, Rodríguez-Pérez, Gema, Colomo-Palacios, Ricardo, Verdecchia, Roberto, Singh, Paramvir, Qin, Yihao, Chakroborti, Debasish, Davis, Willard, Walunj, Vijay, Wu, Hongjun, Marcilio, Diego, Alam, Omar, Aldaeej, Abdullah, Amit, Idan, Turhan, Burak, Eismann, Simon, Wickert, Anna-Katharina, Malavolta, Ivano, Sulir, Matus, Fard, Fatemeh, Henley, Austin Z., Kourtzanidis, Stratos, Tuzun, Eray, Treude, Christoph, Shamasbi, Simin Maleki, Pashchenko, Ivan, Wyrich, Marvin, Davis, James, Serebrenik, Alexander, Albrecht, Ella, Aktas, Ethem Utku, Strüber, Daniel, Erbel, Johannes

Subject Terms: Computer Science - Software Engineering

Access URL: http://arxiv.org/abs/2011.06244

The Corrective Commit Probability Code Quality Metric

Authors: Amit, Idan, Feitelson, Dror G.

Subject Terms: Computer Science - Software Engineering, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2007.10912

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

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

Source: The AAAI-19 Workshop on Engineering Dependable and Secure Machine Learning Systems, 2019. [[REF](https://sites.google.com/view/edsmls2019/home)]

Subject Terms: Computer Science - Machine Learning, Computer Science - Cryptography and Security, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1812.07858

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

Authors: Amit, Idan^1,2, idan.amit@mail.huji.ac.il, Feitelson, Dror G.¹

Source: Software Quality Journal; Dec2021, Vol. 29 Issue 4, p817-861, 45p

System and method for detecting personal experience event reports from user generated internet content

A fine-grained data set and analysis of tangling in bug fixing commits

Authors: Herbold, Steffen, Trautsch, Alexander, Ledel, Benjamin, Aghamohammadi, Alireza, Ghaleb, Taher A., Chahal, Kuljit Kaur, Bossenmaier, Tim, Nagaria, Bhaveet, Makedonski, Philip, Ahmadabadi, Matin Nili, Szabados, Kristof, Spieker, Helge, Madeja, Matej, Hoy, Nathaniel, Lenarduzzi, Valentina, Wang, Shangwen, Rodríguez-Pérez, Gema, Colomo-Palacios, Ricardo, Verdecchia, Roberto, Singh, Paramvir, Qin, Yihao, Chakroborti, Debasish, Davis, Willard, Walunj, Vijay, Wu, Hongjun, Marcilio, Diego, Alam, Omar, Aldaeej, Abdullah, Amit, Idan, Turhan, Burak, Eismann, Simon, Wickert, Anna-Katharina, Malavolta, Ivano, Sulír, Matúš, Fard, Fatemeh, Henley, Austin Z., Kourtzanidis, Stratos, Tuzun, Eray, Treude, Christoph, Shamasbi, Simin Maleki, Pashchenko, Ivan, Wyrich, Marvin, Davis, James, Serebrenik, Alexander, Albrecht, Ella, Aktas, Ethem Utku, Strüber, Daniel, Erbel, Johannes

Source: Empirical Software Engineering; November 2022, Vol. 27 Issue: 6