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ORCIDSuvodeep Majumder
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Journal Articles
- 2024
[j3]Suvodeep Majumder
, Joymallya Chakraborty, Tim Menzies:
When less is more: on the value of "co-training" for semi-supervised software defect predictors. Empir. Softw. Eng. 29(2): 51 (2024)- 2023
- [j2]Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies:
Fair Enough: Searching for Sufficient Measures of Fairness. ACM Trans. Softw. Eng. Methodol. 32(6): 134:1-134:22 (2023) - 2022
- [j1]Suvodeep Majumder, Pranav Mody, Tim Menzies:
Revisiting process versus product metrics: a large scale analysis. Empir. Softw. Eng. 27(3): 60 (2022)
Conference and Workshop Papers
- 2022
- [c6]Joymallya Chakraborty, Suvodeep Majumder, Huy Tu:
Fair-SSL: Building fair ML Software with less data. FairWare@ICSE 2022: 1-8 - [c5]Suvodeep Majumder, Tianpei Xia, Rahul Krishna, Tim Menzies:
Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health). MSR 2022: 566-578 - 2021
- [c4]N. C. Shrikanth, Suvodeep Majumder, Tim Menzies:
Early Life Cycle Software Defect Prediction. Why? How? ICSE 2021: 448-459 - [c3]Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies:
Bias in machine learning software: why? how? what to do? ESEC/SIGSOFT FSE 2021: 429-440 - 2020
- [c2]Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu, Tim Menzies:
Fairway: a way to build fair ML software. ESEC/SIGSOFT FSE 2020: 654-665 - 2018
- [c1]Suvodeep Majumder, Nikhila Balaji, Katie Brey, Wei Fu, Tim Menzies:
500+ times faster than deep learning: a case study exploring faster methods for text mining stackoverflow. MSR 2018: 554-563
Informal and Other Publications
- 2022
- [i12]Suvodeep Majumder, Stanislas Lauly, Maria Nadejde, Marcello Federico, Georgiana Dinu:
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation. CoRR abs/2210.10906 (2022) - [i11]Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies:
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors. CoRR abs/2211.05920 (2022) - 2021
- [i10]Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies:
Bias in Machine Learning Software: Why? How? What to do? CoRR abs/2105.12195 (2021) - [i9]Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies:
Fair Enough: Searching for Sufficient Measures of Fairness. CoRR abs/2110.13029 (2021) - [i8]Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies:
Can We Achieve Fairness Using Semi-Supervised Learning? CoRR abs/2111.02038 (2021) - 2020
- [i7]Joymallya Chakraborty, Suvodeep Majumder, Zhe Wu, Tim Menzies:
Fairway: SE Principles for Building Fairer Software. CoRR abs/2003.10354 (2020) - [i6]Suvodeep Majumder, Pranav Mody, Tim Menzies:
Revisiting Process versus Product Metrics: a Large Scale Analysis. CoRR abs/2008.09569 (2020) - [i5]N. C. Shrikanth, Suvodeep Majumder, Tim Menzies:
Early Life Cycle Software Defect Prediction. Why? How? CoRR abs/2011.13071 (2020) - 2019
- [i4]Suvodeep Majumder, Joymallya Chakraborty, Amritanshu Agrawal, Tim Menzies:
Why Software Projects need Heroes (Lessons Learned from 1100+ Projects). CoRR abs/1904.09954 (2019) - [i3]Suvodeep Majumder, Rahul Krishna, Tim Menzies:
Learning GENERAL Principles from Hundreds of Software Projects. CoRR abs/1911.04250 (2019) - 2018
- [i2]Suvodeep Majumder, Nikhila Balaji, Katie Brey, Wei Fu, Tim Menzies:
500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining StackOverflow). CoRR abs/1802.05319 (2018) - [i1]Rahul Krishna, Suvodeep Majumder, Tim Menzies, Martin J. Shepperd:
Bad Smells in Software Analytics Papers. CoRR abs/1803.05518 (2018)
Coauthor Index
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