Bibliometric Mapping of Sustainable Software Engineering (2015-2024)
Description
This dataset contains bibliometric records extracted from the Scopus database, focusing on the intersection of software engineering, energy efficiency, and sustainability. It serves as the foundational data for comprehensive bibliometric mapping and scientometric analysis of green software engineering trends between 2015 and 2024. 1. Data Collection Methodology: The data was retrieved from the Scopus database using a structured search query targeting core concepts such as "green software," "sustainable software," "energy efficiency," "energy consumption," and "sustainable software engineering." The search was restricted to academic documents published within the 2015–2024 timeframe. The finalized dataset encompasses 516 distinct academic records. 2. Dataset Contents: The provided CSV file contains comprehensive bibliographic metadata required for advanced scientometric analysis, including: -Author names, IDs, and affiliations -Article titles and abstracts -Publication years and source titles (journals/conference proceedings) -Citation counts and link details (DOI) -Author keywords and index keywords 3. Interpretation and Potential Usage: This dataset is specifically structured for researchers, academicians, and software engineering practitioners investigating energy-efficient coding and software sustainability. The data can be directly imported into popular bibliometric analysis and science mapping tools (e.g., VOSviewer, CiteSpace, or the R-package Bibliometrix/biblioshiny). Researchers can utilize this dataset to: -Perform keyword co-occurrence analysis to identify dominant research themes. -Conduct co-authorship and citation analyses to map out prominent researchers and institutions in green IT. -Track the chronological evolution and conceptual growth of energy-efficient software development paradigms over the last decade.