Software Engineering
Please note that this theme has been merged with the new AI Design & Methods theme!
Software Engineering at Durham University (SE@Durham)
Welcome to the Software Engineering (SE) research team at AIHS at Durham. Our leading-edge research in SE focuses on SE for AI-based systems, Self-adaptive and Autonomous systems, decision-making under uncertainty, model-driven engineering (MDE), requirements engineering (RE) and Evidence-Based Software Engineering.
Research Highlights
ALTS: AI-enabled Legal Technologies and their Consequences on Society
PI Nelly Bencomo
The ALTS project aims to bring together experts in Law, AI-enabled legal technologies, Computer Science, Design Thinking and others to create an interdisciplinary collaboration to provide a platform for exploring and testing a range of approaches for assessing the impact of AI in the law. The project seeks to enable conversations about delivering human-centred techniques and tools to help stakeholders explore the horizons of possibilities and define an envelope of acceptability for AI-based software responsibility focusing on legal aspects. A series of activities are planned to include two IAS seminars, creating a consortium for an ambitious interdisciplinary project, and designing an inter-department teaching module on AI-enabled legal technologies.
The project is partially supported by the Institute of Advance Studies and the EPSRC project Twenty2020Insight
Keynote at German Conference Modellierung 2024
Dr Nelly Bencomo has been invited to give a keynote at “Modellierung 2024”, the bi-annual conference of the German modelling community. The conference will be held in Potsdam (near Berlin) in March 2024.
Keynote at workshop MDE Intelligence at the MODELS conference
Marc North, PhD student at AIHS under the supervision of Nelly Bencomo and Amir Atapour-Abarghouei delivered the keynote at the workshop at the workshop MDE Intelligence at the MODELS conference https://conf.researchr.org/home/models-2023 in Vasteras, Sweden on 2nd October 2023
@modelsconf https://lnkd.in/e34qXY48
“Enhancing LLM Code Generation with domain-specific UML models: Real-world examples from industry”
Marc is a PhD student at Durham and works at MethodGrid.
