Sustainable Data Analysis in Engineering: 6- Year Review Emphasizing Open-Source Tools, Eco-Friendly Practices, and Emerging Trends for Smart Computing

• Published in: 2024 10th International Conference on Smart Computing and Communication (ICSCC) pp. 460 - 466
• Main Authors: Subramaniam, Radhakrishnan, Palakkeel, Prashobhan, Arunmozhi, Manimuthu, Uthayakumar, Sridharan, Manikandan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25-07-2024
• Subjects: Data analysis; Data Analytics; Evidence-based Engineering; Mathematical models; Matlab; meta-analysis; Predictive models; Reviews; Software engineering; Statistical analysis; Sustainable development; Sustainable Engineering Practice; Synthetic aperture sonar; systematic literature review
• DOI: 10.1109/ICSCC62041.2024.10690466

The authors' examination of quantitative data analysis tools through Evidence-Based Software Engineering (EBSE) and PRISMA flow, within a 6-year review of published journal articles, is commendable for its potential impact on sustainable engineering practices. Identifying top tools like SPSS, R, Stata, Excel, SAS, SmartPLS, MATLAB, AMOS, LISREL, and MPlus, and emphasizing their usage trends provides valuable insights for researchers and educators. However, the paper could enhance its contribution to sustainability by urging the preference for open-source tools, aligning with principles of collaboration, and minimizing environmental impact. Including an evaluation of tools' ecological footprints, such as energy consumption and waste generation, would further align with sustainable engineering goals. Additionally, considering emerging trends in sustainable data analysis tools could help researchers stay informed about evolving technologies. In summary, while the paper offers crucial insights into quantitative tools, integrating sustainability considerations, promoting open-source options, and evaluating ecological footprints could significantly enhance its relevance to sustainable engineering practices concisely.