Publication Type
Journal Article
Version
publishedVersion
Publication Date
1-2014
Abstract
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.
Discipline
Databases and Information Systems | Software Engineering
Research Areas
Data Science and Engineering
Publication
Infosys Lab Briefings
Volume
12
Issue
1
First Page
88
Last Page
95
Publisher
Infosys Labs
Embargo Period
8-20-2021
Citation
SARKAR, Santonu and DATTA, Subhajit.
Inferring the untold: Mining software engineering research publication networks. (2014). Infosys Lab Briefings. 12, (1), 88-95.
Available at: https://ink.library.smu.edu.sg/sis_research/6054
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.