An Action Research for Improving the Sustainability Assessment Framework Instruments

• Main Authors: Nelly Condori-Fernandez, Patricia Lago, Miguel R. Luaces, Ángeles S. Places
• Format: Article
• Language: English
• Published: MDPI AG 2020-02-01
• Series: Sustainability
• Subjects: sustainability assessment; sustainability–quality model; decision map; action research; software-intensive systems
• Online Access: https://www.mdpi.com/2071-1050/12/4/1682

In the last years, software engineering researchers have defined sustainability as a quality requirement of software, but not enough effort has been devoted to develop new methods/techniques to support the analysis and assessment of software sustainability. In this study, we present the Sustainability Assessment Framework (SAF) that consists of two instruments: the software sustainability−quality model, and the architectural decision map. Then, we use participatory and technical action research in close collaboration with the software industry to validate the SAF regarding its applicability in specific cases. The unit of analysis of our study is a family of software products (Geographic Information System- and Mobile-based Workforce Management Systems) that aim to address sustainability goals (e.g., efficient collection of dead animals to mitigate social and environmental sustainability risks). The results show that the sustainability−quality model integrated with the architectural decision maps can be used to identify sustainability−quality requirements as design concerns because most of its quality attributes (QAs) have been either addressed in the software project or acknowledged as relevant (i.e., creating awareness on the relevance of the multidimensional sustainability nature of certain QAs). Moreover, the action−research method has been helpful to enrich the sustainability−quality model, by identifying missing QAs (e.g., regulation compliance, data privacy). Finally, the architectural decision maps have been found as useful to guide software architects/designers in their decision-making process.