Debasish Chakroborti

According to our database, Debasish Chakroborti authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

ReBack: recommending backports in social coding environments.

Debasish Chakroborti, Kevin A. Schneider, Chanchal K. Roy

Autom. Softw. Eng., June, 2024

A Study of Backporting Code in Open-Source Software for Characterizing Changesets.

Debasish Chakroborti, Chanchal Roy, Kevin A. Schneider

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

Release conventions of open-source software: An exploratory study.

Debasish Chakroborti, Sristy Sumana Nath, Kevin A. Schneider, Chanchal K. Roy

J. Softw. Evol. Process., 2023

How does quality deviate in stable releases by backporting?

Jarin Tasnim, Debasish Chakroborti, Chanchal K. Roy, Kevin A. Schneider

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, 2023

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

Gain-loss ratio of storing intermediate data from workflows.

Debasish Chakroborti

CoRR, 2022

Backports: change types, challenges and strategies.

Debasish Chakroborti, Kevin A. Schneider, Chanchal K. Roy

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

2021

Designing for Recommending Intermediate States in A Scientific Workflow Management System.

Debasish Chakroborti, Banani Roy, Sristy Sumana Nath

Proc. ACM Hum. Comput. Interact., 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

An Intermediate Data-driven Methodology for Scientific Workflow Management System to Support Reusability.

Debasish Chakroborti

CoRR, 2020

An Exploratory Study to Find Motives Behind Cross-platform Forks from Software Heritage Dataset.

Avijit Bhattacharjee, Sristy Sumana Nath, Shurui Zhou, Debasish Chakroborti, Banani Roy, Chanchal K. Roy, Kevin A. Schneider

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

2018

Optimized Storing of Workflow Outputs through Mining Association Rules.

Debasish Chakroborti, Manishankar Mondal, Banani Roy, Chanchal K. Roy, Kevin A. Schneider

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018