Welcome #

I am a Ph.D. student in the Software Engineering Research Group at TU Delft. Currently, I am researching the application of Natural Language Processing to Software Engineering. My research interests include AI4SE, Reverse Engineering and NLP. Previously, I obtained my Masters in Computer Science and Engineering - with a specialisation in Cybersecurity.

Email: a.al-kaswan[at]tudelft.nl

Recent Publications #

Here are some of my recent research contributions:

• Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks (FSE'25) A comprehensive framework for assessing the potential harmfulness of LLMs in software engineering

• Traces of Memorisation in Large Language Models for Code (ICSE'24)
  Exploring memorisation in code language models and data extraction vulnerabilities

• The (ab)use of Open Source Code to Train Large Language Models (NLBSE'23)
  Discussing security, privacy, and licensing implications of LLM training

• STACC: Code Comment Classification using SentenceTransformers (NLBSE'23)
  Lightweight classifiers for automatic code comment classification

View All Publications →

Other Contributions #

Editorial & Review Activities #

• ACM Transactions on Software Engineering and Methodology (TOSEM) Reviewer (2025)
• 18th Intl. Conference on the Quality of Information and Communications Technology (QUATIC'25) Program Committee - Security and Privacy Track
• ACM Transactions on Software Engineering and Methodology (TOSEM) Reviewer (2024)
• **Science of Computer Programming (SCP) Special Issue Executive Guest Editor **
  Executive editor of the special issue for NLBSE'24 in the Science of Computer Programming Journal 📖 NL-based Software to Support SE Processes
• 3rd Intl. Workshop on NL-based Software Engineering (NLBSE'24) Program Committee

Conference Organization & Service #

• 4th Intl. Workshop on NL-based Software Engineering (NLBSE'25) Tool Competition Co-Chair 📄 Competition Report
• 3rd Intl. Workshop on NL-based Software Engineering (NLBSE'24) Tool Competition Co-Chair 📄 Competition Report

Conference Participation #

• ICSE'23 Doctoral Symposium
• Dutch National Symposium on Software Engineering (SEN) Talk (2023) Lightning Talk Titled: Co-Pilot the Open Source Laundromat
• ICSE'23 Student Volunteer

Awards 🥇 #

• ACM SIGSOFT Distinguished Paper Award
  For the paper: How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning at MSR'25 📄 Paper

• Training Data Extraction Challenge - First Place
  SATML'23 Training Data Extraction Challenge
  📄 Competition Report

• Code Comment Classification - First Place
  NLBSE'23 Code Comment Classification Competition
  📄 Competition Report