| 2026 | DSN | Praxis: Integrating Program Analysis with Observability for Root-Cause Analysis. | Shengkun Cui, Rahul Krishna, Saurabh Jha, Ravishankar K. Iyer |
| 2024 | ICSE | Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. | Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand |
| 2023 | ICDAR | SeamFormer: High Precision Text Line Segmentation for Handwritten Documents. | Niharika Vadlamudi, Rahul Krishna, Ravi Kiran Sarvadevabhatla |
| 2022 | EuroSys | Unicorn: reasoning about configurable system performance through the lens of causality. | Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi |
| 2022 | MSR | Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health). | Suvodeep Majumder, Tianpei Xia, Rahul Krishna, Tim Menzies |
| 2019 | ICSE | iSENSE: completion-aware crowdtesting management. | Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang |
| 2018 | ICSE | We don't need another hero?: the impact of "heroes" on software development. | Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies |
| 2018 | ICSE | What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects. | Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies |
| 2016 | ICSE | The "BigSE" project: lessons learned from validating industrial text mining. | Rahul Krishna, Zhe Yu, Amritanshu Agrawal, Manuel Dominguez, David Wolf |