Note: Below are the author's versions of the works. They are posted here for your personal use. Not for redistribution. The definitive versions were published in the referenced conferences / journals.
| [ICSE-SEIP'25] | |
 | Supply Chain Protection via Program Analysis |
 | Ridwan Shariffdeen, Behnaz Hassanshahi, Martin Mirchev, Ali El Husseini, Abhik Roychoudhury |
| (One-line Abstract) an inter-package analysis technique to detect malicious packages in the Python ecosystem | |
| 47th International Conference on Software Engineering (ICSE), Software Engineering in Practice track (SEIP) | |
| [TOSEM'25] | |
 | Vulnerability Repair via Concolic Execution and Code Mutations |
 | Ridwan Shariffdeen, Christopher Timperley, Yannic Noller, Claire Le Goues, Abhik Roychoudhury |
| (One-line Abstract) Combination of semantic repair and search-based repair for security vulnerabilities | |
| ACM Transactions on Software Engineering and Methodology (TOSEM) | |
| [TOSEM'25] | |
| EffFix: Efficient and Effective Repair of Pointer Manipulating Programs |
| Yuntong Zhang, Andreea Costea, Ridwan Shariffdeen, Davin McCall, Abhik Roychoudhury |
| (One-line Abstract) program repair using probabilistic context-free grammar guided by static analysis | |
| ACM Transactions on Software Engineering and Methodology (TOSEM) | |
| [APSEC'24] | |
| BugsInKube: A Collection of Reconciliation Bugs |
| Kabilan Mahathevan, Sivakajan Sivaparan, Tharsha Sivapalarajah, Sunimal Rathnayake, Ridwan Shariffdeen |
| (One-line Abstract) a reproducible dataset of reconciliation bugs for distributed system testing | |
| 31st Asia-Pacific Software Engineering Conference (APSEC 2024) | |
| [APR'24] | |
| Program Repair Competition 2024 |
| Ridwan Shariffdeen, Yannic Noller, Martin Mirchev, Haifeng Ruan Xiang Gao, Andreea Costea, Gregory J Duck, Abhik Roychoudhury |
| (One-line Abstract) summary and results of the first international program repair competition | |
| 2024 IEEE/ACM International Workshop on Automated Program Repair (APR) | |
| [LLM4Code'24] | |
| An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project |
| S. Rasnayaka, W. Guanlin Ridwan Shariffdeen, and G. Iyer |
| (One-line Abstract) A study on using LLMs for a team-based software engineering project in an academic setting. | |
| The First International Workshop on Large Language Models for Code (LLM4Code) 2024 | |
| [MSR Data'24] | |
| BugsPHP: A dataset for Automated Program Repair in PHP |
| K.D. Pramod, W.T.N. De Silva, W.U.K. Thabrew Ridwan Shariffdeen, and Sandareka Wickramanayake |
| (One-line Abstract) a dataset of PHP bugs with 600,000+ for commits for training and 513 commits for validating | |
| 21st International Conference on Mining Software Repositories (MSR) 2024 | |
| [ICST'24] | |
| Evolutionary Testing for Program Repair |
| Haifeng Ruan, Hoang Lam Nguyen, Ridwan Shariffdeen, Yannic Noller and Abhik Roychoudhury |
| (One-line Abstract) a co-evolution approach that generates tests and repairs in a unified workflow using EvoSuite | |
| 17th IEEE International Conference on Software Testing, Verification and Validation (ICST) 2024 | |
| [APR'23] | |
| Program Repair Competition |
| Ridwan Shariffdeen, Martin Mirchev, Abhik Roychoudhury |
| (One-line Abstract) proposing a competition to shape the next-generation repair | |
| 2023 IEEE/ACM International Workshop on Automated Program Repair (APR) | |
| [ICSE'23] | |
| Cerberus: A Program Repair Framework |
| Ridwan Shariffdeen, Martin Mirchev, Yannic Noller, Abhik Roychoudhury |
| (One-line Abstract) a language agnostic platform for automated program repair | |
| IEEE/ACM International Conference on Software Engineering (ICSE) 2023, Tool Demonstrations track | |
| Note: Our framework including the tools and benchmarks is open sourced at Github | |
| [NUS'22] | |
| Software Vulnerability Repair |
| Ridwan Shariffdeen |
| (One-line Abstract) a series of cohesive techniques tightly coupled towards the goal of generating security patches | |
| PhD Dissertation, National University of Singapore, 2022 | |
| [ACCESS'22] | |
| Self-Supervised Vision Transformers for Malware Detection |
| Sachith Seneviratne, Ridwan Shariffdeen, Sanka Rasnayaka, Nuran Kasthuriarachchi |
| (One-line Abstract) deep learning model to detect malware based on the Vision Transformer (ViT) architecture | |
| IEEE Access | |
| Note: Our artifact including the models is open sourced at Github | |
| [ICSE'22] | |
| Trust Enhancement Issues in Program Repair |
| Yannic Noller, Ridwan Shariffdeen, Xiang Gao, Abhik Roychoudhury |
 | (One-line Abstract) A systematic evaluation if state of the art APR can meet developer expectations |
| IEEE/ACM 44th International Conference on Software Engineering (ICSE) 2022 | |
Note: Our artifact @ 10.5281/zenodo.5908381, was evaluated as Available  , Functional  and Reusable . | |
| [AJCAI'22] | |
| Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images |
| Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Danula Hettiachchi, Ridwan Shariffdeen |
| (One-line Abstract) evaluate the privacy-invasiveness of masked-faces in artificial intelligence systems | |
| 34th Australasian Joint Conference on Artificial Intelligence 2022 | |
| [OOPSLA'21] | |
| APIfix: Output-Oriented Program Synthesis for Combating Breaking Changes in Libraries |
| Xiang Gao, Arjun Radhakrishna, Gustavo Soares, Ridwan Shariffdeen, Sumit Gulwani, Abhik Roychoudhury |
| (One-line Abstract) Program synthesis for repairing broken API invocations | |
| ACM SIGPLAN Object-Oriented Programming Systems Languages and Applications (OOPSLA) 2021, 27 pages | |
| Note: APIFix tool is now open-sourced in Github | |
| [ISSTA'21] | |
| Automated Patch Backporting in Linux (Experience Paper) |
| Ridwan Shariffdeen, Xiang Gao, Gregory J Duck, Shin Hwei Tan, Julia Lawall, Abhik Roychoudhury |
| (One-line Abstract) Patch backporting technique that can automatically transfer patches from the mainline version of Linux into older stable versions |
| 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2021, 12 pages | |
|
Note: Our artifact @ 10.5281/zenodo.4764704, was evaluated as Available , Functional and Reusable . | |
| Note: FixMorph tool is now open-sourced in Github | |
| Note: Our data, empirical evaluation, and replication package are available @ fixmorph.github.io | |
| 🏆 | Award: Our artifact was awarded the "Distinguished Artifact Award" at ISSTA'21 |
| [PLDI'21] | |
| Concolic Program Repair |
| Ridwan Shariffdeen, Yannic Noller, Lars Grunske, Abhik Roychoudhury |
| (One-line Abstract) Detecting and discarding over-fitting patches via systematic co-exploration of the patch space and input space |
| 42nd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI) 2021, 16 pages | |
|
Note: Our artifact @ 10.5281/zenodo.4668317, was evaluated as Available , Functional and Reusable . | |
| Note: CPR tool is now open-sourced in Github | |
| Note: Our data, empirical evaluation, and replication package are available @ cpr-tool.github.io | |
| [TOSEM'21] | |
| Automated Patch Transplantation |
| Ridwan Shariffdeen, Shin Hwei Tan, Mingyuan Gao, Abhik Roychoudhury |
| (One-line Abstract) Identifying patch insertion points, as well as namespaces translation across programs via symbolic execution | |
| ACM Transactions on Software Engineering and Methodology (TOSEM), 30(1), pages 1-36, 2021. | |
| Note: Selected as journal-first contribution to be presented at ICSE'21 | |
| Note: PatchWeave tool is now open-sourced in Github | |
| Note: Our data, empirical evaluation, and replication package are available @ patchweave.github.io | |
| [CLOUD'16] | |
| Workload and Resource Aware Proactive Auto-scaler for PaaS Cloud |
| R.S. Shariffdeen, D.T.S.P. Munasinghe, H.S. Bhathiya, U.K.J.U. Bandara and H.M.N. Dilum Bandara |
| (One-line Abstract) A proactive and cost-aware auto-scaling solution to address scaling issues | |
| IEEE 9th International Conference on Cloud Computing (CLOUD), 2016 | |
| [CLOUD'16] | |
| Adaptive workload prediction for proactive auto scaling in PaaS systems |
| R.S. Shariffdeen, D.T.S.P. Munasinghe, H.S. Bhathiya, U.K.J.U. Bandara and H.M.N. Dilum Bandara |
| (One-line Abstract) An ensemble workload prediction based on time series and machine learning techniques | |
| 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech), 2016 | |