Publications

(2026). Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code. Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering (ASE), 2026.

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(2026). Patterns of Developer Adoption of LLM-Generated Code Refactoring Suggestions. Proceedings of the 22nd International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE), 2026.

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(2026). Large Language Model Company Policies and Policy Implications in Software Organizations. IEEE Software, 2026.

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(2026). Empowering Software Engineers to Design More Secure Web Applications: Guidelines and Potential of Using LLMs as a Recommender Tool. Journal of Software: Evolution and Process, 2026.

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(2025). The Impact of Prompt Programming on Function-Level Code Generation. IEEE Transactions on Software Engineering (TSE), 2025.

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(2025). Leveraging Large Language Models for Cybersecurity Risk Assessment -- A Case from Forestry Cyber-Physical Systems. 1st Workshop on Autonomous Agents in Software Engineering (AgenticSE), co-located with ASE'26, 2025.

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(2025). Emotional Strain and Frustration in LLM Interactions in Software Engineering. Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering (EASE), 2025.

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(2024). From Human-to-Human to Human-to-Bot Conversations in Software Engineering. International Conference on AI-powered Software (AIware), 2024.

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(2024). Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice. Proceedings of the ACM on Software Engineering (FSE), 2024.

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(2023). Evaluating the Trade-offs of Diversity-Based Test Prioritization: An Experiment. International Conference on Automation of Software Test (AST), 2023.

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(2022). Evaluating N-best Calibration of Natural Language Understanding for Dialogue Systems. Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SigDIAL), 2022.

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