Inferring the untold: Mining software engineering research publication networks

• Main Authors: SARKAR, Santonu, DATTA, Subhajit
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6054; https://ink.library.smu.edu.sg/context/sis_research/article/7057/viewcontent/inferring_untold_mining_software_engineering_publication_networks_pv.pdf
• Institution: Singapore Management University

Since the inception of organized research publication in software engineering in 1975, the discipline has gained maturity. This journey has been guided by the synergy of ideas and interactions of individuals. In this paper, we discuss a method for aggregating the corpus of 19,000+ papers and 21,000+ authors across 16 specialized software engineering venues. We focus on the approach of data collection, processing and storage. It can be used to address questions by the software engineering research community. We evaluate three questions: patterns of research topics with time, factors influencing the contribution of individual researchers, and the interaction among the most prolific researchers. Furthermore, we provide a brief overview of data analysis techniques that we performed to address questions. We also highlight how the outcome of the research questions can be made available as an online service.