Fan, A;
Gokkaya, B;
Harman, M;
Lyubarskiy, M;
Sengupta, S;
Yoo, S;
Zhang, JM;
(2023)
Large Language Models for Software Engineering: Survey and Open Problems.
In:
Proceedings - 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering, ICSE-FoSE 2023.
(pp. pp. 31-53).
IEEE
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Abstract
This paper provides a survey of the emerging area of Large Language Models (LLMs) for Software Engineering (SE). It also sets out open research challenges for the application of LLMs to technical problems faced by software engineers. LLMs' emergent properties bring novelty and creativity with applications right across the spectrum of Software Engineering activities including coding, design, requirements, repair, refactoring, performance improvement, documentation and analytics. However, these very same emergent properties also pose significant technical challenges; we need techniques that can reliably weed out incorrect solutions, such as hallucinations. Our survey reveals the pivotal role that hybrid techniques (traditional SE plus LLMs) have to play in the development and deployment of reliable, efficient and effective LLM-based SE.
| Type: | Proceedings paper |
|---|---|
| Title: | Large Language Models for Software Engineering: Survey and Open Problems |
| Event: | 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE) |
| Dates: | 14 May 2023 - 20 May 2023 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICSE-FoSE59343.2023.00008 |
| Publisher version: | https://doi.org/10.1109/ICSE-FoSE59343.2023.00008 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Surveys, Maintenance engineering, Reliability engineering, Software, Software reliability, Software engineering, Testing |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10199778 |
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