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Christian Cabrera Jojoa

Research Professor · Department of Computer Science and Technology

University of Cambridge · United Kingdom
AI SystemsData-Oriented ArchitecturesMulti-agent SystemsSelf-sustaining SystemsMachine Learning and Artificial IntelligenceSystems and Networking

代表成果

  • Paleyes, A., Sendyka, R., Robinson, D., Cabrera, C., Lawrence, N., Prompt Variability Effects on LLM Code Generation. Third International Workshop on Large Language Models for Code (LLM4Code 2026), co-located with ICSE 2026. (2026).
  • Poon, J., Cabrera, C., Lawrence, N., iFogSim-Placement: A Simulation Framework for Edge Service Placement. 21st International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2026), co-located with ICSE 2026. (2026).
  • Cabrera, C., Paleyes, A., Thodoroff, P., Lawrence, N., Machine Learning Systems: A Survey from a Data-Oriented Perspective. ACM Computing Surveys. ACM (2025).
  • Robinson, D., Cabrera, C., Gordon, A., Lawrence, N., Mennen, L., Requirements are All You Need: The Final Frontier for End-User Software Engineering. ACM Transactions on Software Engineering and Methodology. ACM (2025).
  • Cabrera, C., Bastidas, V., Schooling, J., Lawrence, N., The Systems Engineering Approach in Times of Large Language Models. Hawaii International Conference on System Sciences (HICSS). (2025).
  • Sendyka, R., Cabrera, C., Paleyes, A., Robinson, D., Lawrence, N., LLM Performance for Code Generation on Noisy Tasks. Pre-print (arXiv). (2025).
  • Cabrera, C., Paleyes, A., Lawrence, N., Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation. International Workshop New Trends in Software Architecture (SATrends 24). ACM (2024).
  • Kazmi, A., Staffolani, A., Zhang, T., Cabrera, C., Clarke, S., Dynamic Service Placement in Edge Computing: A Comparative Evaluation of Nature-Inspired Algorithms. IEEE Access. IEEE (2024).
  • Cabrera, C., Svorobej, S., Palade, A., Kazmi, A., Clarke, S., MAACO: A Dynamic Service Placement Model for Smart Cities. IEEE Transactions on Services Computing (TSC). IEEE (2023).
  • Cardozo, N., Dusparic, I., Cabrera, C. Prevalence of Code Smells in Reinforcement Learning Projects. 2nd International Conference on AI Engineering (CAIN). (2023).

数据校验于 9/6/2026数据来源

学生评价

还没有评价。成为第一位分享经验的学生吧。