Selected Publications

JOURNAL PAPER

[J1] [TOSEM-23] [Full Paper] [Rank= A*] Jaydeb Sarker, Asif Kamal Turzo, Ming Dong, and Amiangshu Bosu. Automated Identification of Toxic Code Reviews Using ToxiCR (ACM Transactions on Software Engineering and Methodology, February 2023).
Accepted for presentation in Journal First Track of The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)-2023, San Francisco, California, United States.

PEER REVIEWED CONFERENCE PAPERS

[C1] [ESEM-23] [Full Paper] [Rank= A] Jaydeb Sarker, Sayma Sultana, Steven R. Wilson, Amiangshu Bosu. ToxiSpanSE: An Explainable Toxicity Detection in Code Review Comments , Technical Track, The 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement- 2023, New Orleans, Louisiana, United States.

[C2] [ESEM-23] [Full Paper] [Rank= A] Asif Kamal Turzo, Fahim Faysal, Ovi Poddar, Jaydeb Sarker, Anindya Iqbal, Amiangshu Bosu. Towards Automated Classification of Code Review Feedback to Support Analytics , Technical Track, The 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement- 2023, New Orleans, Louisiana, United States.

[C3] [APSEC-20] [Full Paper] Jaydeb Sarker, Asif Kamal Turzo, and Amiangshu Bosu. A benchmark study of the contemporary toxicity detectors on software engineering interactions. In proceedings of the 27th Asia-Pacific SoftwareEngineering Conference 2020, Singapore pp. 218–227.

SHORT PAPERS

[SP1] [ASE-22] [Short Paper] Jaydeb Sarker, " 'Who built this crap?' Developing a Software Engineering Domain Specific Toxicity Detector" , In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (Student Research Competition)

[SP2] [ASE-22] [Short Paper] Jaydeb Sarker, "Identification and Mitigation of Toxic Communications Among Open Source Software Developers" , In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (Doctoral Symposium)

[SP3] [ESEM-21] [Short Paper] S Sultana, J Sarker, A Bosu. A Rubric to Identify Misogynistic and Sexist Texts from Software Developer Communications , Emerging Results and Vision paper,15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement- 2021, Bari, Italy.