Two papers accepted at APSEC 2024

Chutweeraya Sriwilailak and Dan M. Kazimoto had their research accepted in the Early Research Achievements (ERA) track of the 31st Asia-Pacific Software Engineering Conference (APSEC 2024). Chutweeraya's work compares the autorepairability of two large language models, ChatGPT and Gemini, on a dataset of 1,200 functionally equivalent Java methods. Autorepairability is the degree to which automated program repair can be applied to software. Dan's work introduces DEV-EYE, a tool that calculates the bus factor and potential bus factors of a Git-based software project and suggests how to plan its future. Both papers were presented in Chongqing, China, in December 2024.