Ranim Khojah
PhD Student in Computer Science
Chalmers University of Technology
Biography
Ranim Khojah is a PhD student at Chalmers University of Technology, conducting research on the use of large language models in software engineering. She obtained her master’s degree in Language Technology from the University of Gothenburg in 2022. Her current interests include chatbots that can assist with activities during the software development lifecycle, such as code generation, explanation, and completion.
- Large Language Models (LLM)
- Human aspects of chatbots
- Software development
PhD in Computer Science, 2022-present
Chalmers University of Technology
MA in Language Technology, 2020-2022
University of Gothenburg
BSc in Software Engineering and Management, 2017-2020
Chalmers University of Technology
Selected Publications
Talks & Presentations
Chatbots in Software Engineering Scientific highlights at the WASP Winter Conference (ca 500 attendees), Örebro, Sweden (2026)
Understanding and Evaluating Chatbots in Software Engineering Licentiate Seminar, Chalmers University of Technology, Gothenburg, Sweden (2025)
The Art of Using ChatGPT Innovation Fika (ca 300 attendees), Volvo Trucks, Gothenburg, Sweden (2024)
ChatGPT Usage in Software Engineering Practice Invited Talk, SystemWeaver, Gothenburg, Sweden (2024)
Programming without a Programming Language Workshop, Iceberry, Gothenburg, Sweden (2024)
Chatbots in Software Engineering Invited Talk, RISE Research Institutes of Sweden, Borås, Sweden (2024)
From Human-to-Human to Human-to-Bot Interactions in Software Engineering Paper presentation, AIware (Co-located with FSE), Porto de Galinhas, Brazil (2024)
Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice Paper presentation, FSE, Porto de Galinhas, Brazil (2024)
Evaluating the Trade-offs of Text-based Diversity in Test Prioritisation Paper presentation, AST (co-located with ICSE), Melbourne, Australia (2023)
Evaluating N-best Calibration of Natural Language Understanding for Dialogue Systems Paper presentation, SigDIAL, Edinburgh, Scotland (2022)
Projects
MBTI Personality Predictor
A personality predictor that is based on the MBTI personality types; given a sentence or text input by the user (ideally associated to their values, beliefs, or simply related to them somehow) the system will predict to which personality type the text is mostly related with.
Academic Service
Committee Member:
• Program committee member - BotSE Workshop (co-located with ICSE 2024)
• Publicity Chair - AIware Conference (co-located with ASE 2025)
• Program committee member - BoatSE Workshop (co-located with ICSE 2025)
Student Volunteer:
• ICSE 2023 - Melbourne, Australia
• ICSE 2024 - Lisbon, Portugal
• ASE 2025 - Seoul, South Korea
Teaching duties:
• Data Management (2025-2026): Teaching, Assignment design, assessment.
• Fundamentals of Programming (2024-2025): Teaching, Creating course material.
• Object Oriented Programming (2018-2020, 2022-2023): Teaching, Creating course material, assessment.
• Distributed Systems (2024): Supervising and assessing project groups.
Thesis Supervision:
• Bachelor thesis: “Developer Behavior in Response to LLM-Generated Code Refactoring Suggestions”, Main supervisor (2025) - with David Schön, Faiza Amjad, and Tehreem Asif.
• Master thesis: “Leveraging Large Language Models for Cybersecurity Risk Assessment”, Co-supervisor (2024) - with Fikret Mert Gültekin and Oscar Lilja
Experience
