Joymallya Chakraborty

Majumder, S., Chakraborty, J., & Menzies, T. (2024). When less is more: on the value of "co-training" for semi-supervised software defect predictors. EMPIRICAL SOFTWARE ENGINEERING, 29(2). https://doi.org/10.1007/s10664-023-10418-4

Majumder, S., Chakraborty, J., Bai, G. R., Stolee, K. T., & Menzies, T. (2023). Fair Enough: Searching for Sufficient Measures of Fairness. ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 32(6). https://doi.org/10.1145/3585006

Peng, K., Chakraborty, J., & Menzies, T. (2023). FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 49(4), 2426–2439. https://doi.org/10.1109/TSE.2022.3220713

Chakraborty, J., Majumder, S., & Tu, H. (2022). Fair-SSL: Building fair ML Software with less data. 2022 IEEE/ACM INTERNATIONAL WORKSHOP ON EQUITABLE DATA & TECHNOLOGY (FAIRWARE 2022), pp. 1–8. https://doi.org/10.1145/3524491.3527305

Chakraborty, J., Majumder, S., & Menzies, T. (2021). Bias in Machine Learning Software: Why? How? What to Do? PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 429–440. https://doi.org/10.1145/3468264.3468537

Chakraborty, J., Peng, K., & Menzies, T. (2020). Making Fair ML Software using Trustworthy Explanation. 2020 35TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2020), pp. 1229–1233. https://doi.org/10.1145/3324884.3418932

Imtiaz, N., Middleton, J., Chakraborty, J., Robson, N., Bai, G., & Murphy-Hill, E. (2019). Investigating the Effects of Gender Bias on GitHub. 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2019), pp. 700–711. https://doi.org/10.1109/ICSE.2019.00079

Chen, J., Chakraborty, J., Clark, P., Haverlock, K., Cherian, S., & Menzies, T. (2019). Predicting Breakdowns in Cloud Services (with SPIKE). ESEC/FSE'2019: PROCEEDINGS OF THE 2019 27TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, pp. 916–924. https://doi.org/10.1145/3338906.3340450