Sustainability in Software Engineering and Business Information Management
Description
It includes research related to sustainability from both a business and technical point of view. From a business perspective, it not only addresses how to make the business operations more sustainable, but also considers factors such as human values, ethics, environment and responsibility of the businesses. From the technical perspective of software development companies, it focuses on sustainability in software engineering ranging from practices, tools, techniques and methods. The contributions reflect how software engineering teams exhibited pro-activeness in their approaches to lead to sustainable development of the software that is of highest quality and reliability.
It is intended for a broad audience, including students, researchers and practitioners who work in software engineering and business information management fields.
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Persons
Varun Gupta is Postdoctoral Researcher at University of Alcalá (Spain). His area of interest is evidence based software engineering, evolutionary software engineering (focusing on requirement management), business model innovation and innovation management.
Luis Rubalcaba is Professor of Economics, Department of Economics and Business Administration, University of Alcalá (Spain) and Director of the research group International Service Research for Society (INSERAS). He was visiting Fulbright Schuman Scholar at Boston University (USA), Distinguished Professor at VTT-Tekes (Finland), Honorary Scholar at the University of Birmingham (UK), and President of the European Association for Services Research (RESER).
Chetna Gupta
is Associate Professor in Department of Computer Science & Engineering and Information Technology at the Jaypee Institute of Information Technology (India). Her area of interest includes software engineering, search-based software engineering, distributed software engineering and risk management, automated software engineering, cloud computing, blockchain technology and applications of machine learning and data mining.
Thomas Hanne
is Professor for Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland and Head of the Competence Center Systems Engineering. He is author of more than 160 journal articles, conference papers, and other publications and editor of several journals and special issues. His current research interests include computational intelligence, evolutionary algorithms, metaheuristics, optimization, simulation, multicriteria decision analysis, natural language processing, systems engineering, software development, logistics, and supply chain management.