M.U.S.T. scholar’s study on uses’ change request localization for mobile apps utilized user reviews to find the information about software bugs and users’ feature request to propose a novel localization model-Where2Change. By evaluating this model on 31597 user reviews and 3272 issue reports of 10 open source mobile apps, it performs better than CHANGEADVISOR proposed by Palomba et al. at top-tier software engineering conference-ICSE. Where2Change can successfully locate more source code classes related to the change requests for more user feedback clusters than CHANGEADVISOR. The recall value improves up to 50%.
Overall Framework of Change Request Localization Tool-Where2Change
IEEE Transactions on Software Engineering (TSE) is one of two top-tier international journals in software engineering (SE) field. It is ranked as A and A* at CCF and CORE ranking list, respectively. This journal only publishes high impact and significant studies. The number of published articles is less than 80 per year. For this article, Associate Prof. Tao Zhang from Faculty of Information Technology is the first author and M.U.S.T. is the first affiliation. It is worth mentioning that this article is the first study published at the top-tier SE journal since Macao returned to China. Due to the importance and novelty of this study Associate Prof. Zhang was invited to present this article at a top-tier SE international conference -ESEC/FSE, which is one of three very exclusive SE top-tier conferences that, similarly to TSE, only presents very creative research. Until now, there were no studies from Macao scholars accepted by ESEC/FSE. ESEC/FSE 2020 will be held from 8th -13th November, but due to the COVID-19 pandemic, the conference will be held virtually.
Associate Prof. Zhang joined M.U.S.T. on September 2019, he has gotten his Ph.D. from University of Seoul, then he served as postdoc. He is a research fellow at University of Malaya and Hong Kong Polytechnic University. His research interests focus on intelligent software engineering, mining software repositories and software security.
Faculty of Information Technology (FI) is one of the first four founded faculties at M.U.S.T. Due to faculty members’ efforts, FI has published many top-tier studies. According to the World University Rankins by Times Higher Education, M.U.S.T. is ranked top 150 at computer sciences.
Online publication: https://ieeexplore.ieee.org/document/8924692