TO BE ADDED
N/A
Posts by Collection
portfolio
publications
Utilising CI environment for efficient and effective evaluation of NFRs
Published in Information and Software Technology, 2020
This paper aims to identify the state-of-the-art of utilising the CI environment for NFR evaluation.
Recommended citation: L Yu, E Alégroth, P Chatzipetrou, T Gorschek (2020). "Utilising CI environment for efficient and effective evaluation of NFRs." Information and Software Technology. https://doi.org/10.1016/j.infsof.2019.106199
Ethical Considerations in Case Studies
Published in Requirements Engineering Research and Practice (REthics), 2020
This paper aims to investigate ethical consideration while conducting case study in software engineering.
Recommended citation: L Yu (2020). "Ethical Considerations in Case Studies." 2020 1st Workshop on Ethics in Requirements Engineering Research and Practice (REthics). https://doi.org/10.1109/REthics51204.2020.00009
Automated NFR evaluation in continuous integration environments: a multi-case study of Nordic companies
Published in Empirical Software Engineering, 2023
This paper aims to explore automated non-functional requirement evaluation in industry.
Recommended citation: L Yu, E Alégroth, P Chatzipetrou, T Gorschek (2023). "Automated NFR testing in continuous integration environments: a multi-case study of Nordic companies." Empirical Software Engineering. https://doi.org/10.1007/s10664-023-10356-1
A roadmap for using continuous integration environments
Published in Communications of the ACM, 2024
This paper aims to identify a roadmap of utilising the CI environment for NFR evaluation.
Recommended citation: L Yu, E Alégroth, P Chatzipetrou, T Gorschek (2024). "A roadmap for using continuous integration environments." Communications of the ACM. https://doi.org/10.1145/3631519
Experience with Large Language Model Applications for Information Retrieval from Enterprise Proprietary Data
Published in Product-Focused Software Process Improvement (PROFES 2024), 2024
This paper shows industrial experience of using Large Language Models for enterprise proprietary data.
Recommended citation: L Yu, E Alégroth, P Chatzipetrou, T Gorschek (2024). "Experience with Large Language Model Applications for Information Retrieval from Enterprise Proprietary Data." PROFES 2024. https://doi.org/10.1007/978-3-031-78386-9_7
Measuring the quality of generative AI systems: Mapping metrics to quality characteristics-Snowballing literature review
Published in Information and Software Technology, 2025
This paper aims to identify the state-of-the-art of quality evaluation of GenAI systems.
Recommended citation: L Yu, E Alégroth, P Chatzipetrou, T Gorschek (2025). "Measuring the quality of generative AI systems: Mapping metrics to quality characteristics-Snowballing literature review." Information and Software Technology. https://doi.org/10.1016/j.infsof.2025.107802
Paradigm shift on Coding Productivity Using GenAI
Published in Evaluation and Assessment in Software Engineering (EASE), 2025
This paper aims to show a paradigm shift on Coding Productivity Using GenAI.
Recommended citation: L Yu (2025). "Paradigm shift on Coding Productivity Using GenAI." EASE 2025. https://arxiv.org/abs/2504.18404
Evaluating the Quality of GenAI Applications in Software Engineering: A Multi-case Study
Submitted in Empirical Software Engineering, 2025
This paper aims to identify industrial practices of quality evaluation of GenAI systems.
Recommended citation: L Yu, E Alégroth, P Chatzipetrou, T Gorschek (2025). "Evaluating the Quality of GenAI Applications in Software Engineering: A Multi-case Study." Empirical Software Engineering.
A Process Framework for Evaluating GenAI Adoption and Use in Software Engineering
Submitted in Transactions on Software Engineering, 2025
This paper aims to identify industrial practices of quality evaluation of GenAI systems.
Recommended citation: L Yu, E Alégroth, P Chatzipetrou, T Gorschek (2025). "A Process Framework for Evaluating GenAI Adoption and Use in Software Engineering." Transactions on Software Engineering.
Single-Agent versus Multi-Agent LLM Systems for Automated Programming: A Controlled Experiment in Software Engineering
Submitted in Transactions on Software Engineering and Methodology, 2025
This paper aims to test whether a multi-agent system beats a single agent on code quality.
Recommended citation: L Yu, E Alégroth, P Chatzipetrou, T Gorschek (2025). "Single-Agent versus Multi-Agent LLM Systems for Automated Programming: A Controlled Experiment in Software Engineering." Transactions on Software Engineering and Methodology.
talks
Conference Proceeding talk on utilizing CI environments for NFR testing
Published:
A full day with presentations of interest to industrial partners and researchers. The program includes seven sessions by PLEng licentiate-candidates where they present their research areas and future approaches, addressing challenges and innovate solutions to specific problems within industry.
teaching
N/A
N/A, , 2114
To be added.