Large Language Models for Software Engineering: Survey and Open Problems

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

Illustrating a Bayesian approach to seismic collapse risk assessment

In this study, we present a Bayesian method for efficient collapse response assessment of structures. The method facilitates integration of prior information on collapse response with data from nonlinear structural analyses in a Bayesian setting to provide a more informed estimate of the collapse risk. The prior information on collapse can be obtained from a variety of sources, including information on the building design criteria and simplified linear dynamic analysis or nonlinear static (pushover) analysis. The proposed method is illustrated on a four-story reinforced concrete moment frame building to assess its seismic collapse risk. The method is observed to significantly improve the statistical and computational efficiency of collapse risk predictions compared to alternative methods.Non UBCUnreviewedThis collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.Facult