Nakhla Rafi
Scholar

Nakhla Rafi

Google Scholar ID: 7zc3ryQAAAAJ
Graduate Research Assistant
Software Engineering
Citations & Impact
All-time
Citations
37
 
H-index
4
 
i10-index
1
 
Publications
9
 
Co-authors
12
list available
Publications
9 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Paper 'Order Matters! An Empirical Study on Large Language Models' Input Order Bias in Software Fault Localization' accepted at ICSE 2026 (June 2025)
  • Paper 'Revisiting Defects4J for Fault Localization in Diverse Development Scenarios' accepted at MSR 2025 (January 2025)
  • Paper 'Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation' accepted at FSE 2024 (July 2024)
  • Short paper 'Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency' accepted at ICSE 2024 (April 2024)
  • First-place winner, ACM Student Research Competition at FSE 2024 (July 2024), for work on enhancing code representation for GNN-based fault localization
Background
  • PhD student in Computer Science at Concordia University
  • Affiliated with the Software Performance, Analysis, and Reliability (SPEAR) Lab
  • Research focuses on improving the quality of large-scale software systems
  • Primary research interest lies in Fault Localization (FL) techniques in Software Engineering
  • Current project develops novel FL methods using machine learning and program analysis
  • Exploring the use of Large Language Models (LLMs) to enhance debugging performance and reliability