2 citations · 4 across the 4 of their papers we have counts for
5 papers
Code Roulette: How Prompt Variability Affects LLM Code Generation
Andrei Paleyes, Radzim Sendyka, Diana Robinson +2
Code generation is one of the most active areas of application of Large Language Models (LLMs). While LLMs lower barriers to writing code and accelerate development process, the ov…
LLM Performance for Code Generation on Noisy Tasks
Radzim Sendyka, Christian Cabrera, Andrei Paleyes +2
This paper investigates the ability of large language models (LLMs) to recognise and solve tasks which have been obfuscated beyond recognition. Focusing on competitive programming…
The Systems Engineering Approach in Times of Large Language Models
Christian Cabrera, Viviana Bastidas, Jennifer Schooling +1
Using Large Language Models (LLMs) to address critical societal problems requires adopting this novel technology into socio-technical systems. However, the complexity of such syste…
Requirements are All You Need: The Final Frontier for End-User Software Engineering
Diana Robinson, Christian Cabrera, Andrew D. Gordon +2
What if end users could own the software development lifecycle from conception to deployment using only requirements expressed in language, images, video or audio? We explore this…
Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation
Christian Cabrera, Andrei Paleyes, Neil D. Lawrence
Software systems impact society at different levels as they pervasively solve real-world problems. Modern software systems are often so sophisticated that their complexity exceeds…