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Title TAXONOMY OF SUSTAINABILITY INDICATORS FOR SOFTWARE DEVELOPMENT

Author(s) MUHAMMAD USMAN SALEEM

Abstract The rise in environmental and social issues has led to increase the awareness of the sustainability of human activities. The software development industry is no exception, and there has been a recent surge in the number of studies on sustainable software development (SSD). However, still, there is not enough understanding of what constitutes SSD and how it can be achieved. The problem being addressed in this study is the lack of a comprehensive taxonomy of sustainability indicators for software development. Systematic literature review was performed to identify existing SSD indicators. The results were analyzed and classified into various dimensions of sustainability. The taxonomy can be used by the practitioners to select appropriate indicators for sustainable development of their software projects. A quantitative approach is adopted by the researcher as the following research design aids in collecting primary data that has the ability to afford results with high precisions along with appropriate statistics. The method of survey questionnaire has been used in the current research in which the information has been collected from 80 respondents. The focus of the present research is on the primary quantitative method. Therefore, the data has been analysed using Statisical Package for Social Sciences (SPSS) software through frequency analysis, regression and correlation analysis. It has been found that the heightened awareness of the degree to which human activities can be maintained has come about as a direct consequence of the rise of environmental and social concerns. The industry of software development is not an exception, and there has recently been an increase in the number of studies that focus on environmentally responsible practices in the software development process. It is recommended that significant value and consideration should be given to the paradigm of green software system as it has mainly assist the corporations to develop eco-friendly system, which is cost-effective as well.

Type Thesis/Dissertation MS

Faculty Engineering and Computer Science

Department Engineering

Language English

Publication Date 2022-12-30

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