Следене
Suvodeep Majumder
Заглавие
Позовавания
Позовавания
Година
Bias in machine learning software: Why? how? what to do?
J Chakraborty, S Majumder, T Menzies
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
1382021
Fairway: a way to build fair ML software
J Chakraborty, S Majumder, Z Yu, T Menzies
Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020
1022020
500+ times faster than deep learning:(a case study exploring faster methods for text mining stackoverflow)
S Majumder, N Balaji, K Brey, W Fu, T Menzies
2018 IEEE/ACM 15th International Conference on Mining Software Repositories …, 2018
77*2018
“Bad smells” in software analytics papers
MS R Krishna, S Majumder, T Menzies
Information and Software Technology 112, 35-47, 2019
39*2019
Early life cycle software defect prediction. why? how?
NC Shrikanth, S Majumder, T Menzies
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
292021
Revisiting process versus product metrics: A large scale analysis
S Majumder, P Mody, T Menzies
Empirical Software Engineering, 2020
232020
Fair enough: Searching for sufficient measures of fairness
S Majumder, J Chakraborty, GR Bai, KT Stolee, T Menzies
ACM Transactions on Software Engineering and Methodology 32 (6), 1-22, 2023
132023
Why software projects need heroes (lessons learned from 1100+ projects)
S Majumder, J Chakraborty, A Agrawal, T Menzies
arXiv preprint arXiv:1904.09954, 2019
132019
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation
S Majumder, S Lauly, M Nadejde, M Federico, G Dinu
arXiv preprint arXiv:2210.10906, 2022
102022
Can we achieve fairness using semi-supervised learning?
J Chakraborty, H Tu, S Majumder, T Menzies
arXiv preprint arXiv:2111.02038, 2021
92021
Fair-SSL: Building fair ML Software with less data
J Chakraborty, S Majumder, H Tu
Proceedings of the 2nd International Workshop on Equitable Data and …, 2022
72022
Methods for stabilizing models across large samples of projects (with case studies on predicting defect and project health)
S Majumder, T Xia, R Krishna, T Menzies
Proceedings of the 19th International Conference on Mining Software …, 2022
42022
Bias in Machine Learning Software: Why? How? What to Do?(ESEC/FSE 2021). Association for Computing Machinery, New York, NY, USA, 429–440
J Chakraborty, S Majumder, T Menzies
22021
Fairway: A Way to Build Fair ML Software (ESEC/FSE 2020). Association for Computing Machinery, New York, NY, USA, 654–665
J Chakraborty, S Majumder, Z Yu, T Menzies
22020
500+ times faster than deep learning
S Majumder, N Balaji, K Brey, W Fu, T Menzies
Proceedings of the 15th International Conference on Mining Software …, 2018
22018
Fairway: SE principles for building fairer software
J Chakraborty, S Majumder, Z Wu, T Menzies
arXiv preprint arXiv:2003.10354, 2020
12020
Communication and Code Dependency Effects on Software Code Quality: An Empirical Analysis of Herbsleb Hypothesis
S Majumder, J Chakraborty, A Agrawal, T Menzies
arXiv preprint arXiv:1904.09954, 2019
12019
When less is more: on the value of “co-training” for semi-supervised software defect predictors
S Majumder, J Chakraborty, T Menzies
Empirical Software Engineering 29 (2), 1-33, 2024
2024
On the Exploitation of Repeated Structures for Software Analytics
S Majumder
North Carolina State University, 2023
2023
How to GENERALize Across Many Software Projects?(with case studies on Predicting Defect and Project Health)
S Majumder, T Xia, R Krishna, T Menzies
MSR '22: 19th International Conference on Mining Software Repositories …, 2022
2022
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