Publications & Tools

Publications

A complete list of publications is available on my Google Scholar profile.

Tools & Benchmarks

Our research has resulted in a number of open-source tools, benchmarks, and datasets for software engineering and software testing research.

• TARGET — A tool that leverages pre-trained code language models (CLMs) for automated test case repair.
• TARBENCH — A comprehensive benchmark containing 45,373 repaired broken tests across 59 open-source projects.
• PRBatch — A dataset containing approximately 0.6 million comments linked to around 66,000 pull requests on GitHub.
• TCP-CI — A benchmark of 25 subjects with 21.5K builds and 2.5K failed builds.
• TP-RL — A reinforcement learning-based tool for test case prioritization.
• UMLRTSynthesizer — A behavioural model synthesizer.
• MDETools — A searchable resource for identifying model transformation tools that support a given set of features.
• SimGen — A tool for generating simulations and visualizations of embedded systems in the Unity game engine.
• PMExec — A tool that supports the execution of partial UML-RT models.

Theses

Selected theses completed by students in our research group:

• Artin Biniek. Bidirectional Generation of Behavior-Driven Development Artifacts Using Fine-Tuning and Retrieval-Augmented Generation. Carleton University, 2026.
• Paniz Oghabi. Multi-Label Ambiguity Detection in Software Requirements Using Language Models. Carleton University, 2025.
• Darren Holden. Leveraging Language Models to Improve Code Quality Through Code Linting and Automated Test Repair. Carleton University, 2024.
• Arvin Samiei. Black-Box Worst Case Execution Time Analysis on Real-Time Robotic Algorithms. Carleton University, 2024.
• Chibuike Ejikeme. Optimizing Distributed Denial of Service (DDoS) Detection with Time Series Transformers. Carleton University, 2023.
• Rinkesh Joshi. Reinforcement Learning for GitHub Pull Request Predictions: Analyzing Development Dynamics. Carleton University, 2023.