Riassunto
<div>This book discusses important topics for engineering and managing software startups, such as how technical and business aspects are related, which complications may arise and how they can be dealt with. It also addresses the use of scientific, engineering, and managerial approaches to successfully develop software products in startup companies.</div><div><br></div><div>The book covers a wide range of software startup phenomena, and includes the knowledge, skills, and capabilities required for startup product development; team capacity and team roles; technical debt; minimal viable products; startup metrics; common pitfalls and patterns observed; as well as lessons learned from startups in Finland, Norway, Brazil, Russia and USA. All results are based on empirical findings, and the claims are backed by evidence and concrete observations, measurements and experiments from qualitative and quantitative research, as is common in empirical software engineering.</div><div><br></div><div>The book helps entrepreneurs and practitioners to become aware of various phenomena, challenges, and practices that occur in real-world startups, and provides insights based on sound research methodologies presented in a simple and easy-to-read manner. It also allows students in business and engineering programs to learn about the important engineering concepts and technical building blocks of a software startup. It is also suitable for researchers at different levels in areas such as software and systems engineering, or information systems who are studying advanced topics related to software business.</div>
Informazioni sull?autore
<div><b>Anh Nguyen Duc</b> is an Associate Professor at the University of South-Eastern Norway. He has authored/co-authored more than 50 publications in peer-reviewed journals, conferences, and workshops. His current research interests include software startup research, analytical software security, global software engineering, and empirical software engineering.</div><div><br></div><div><b>Jürgen Münch</b> is a Professor of Software Engineering, Entrepreneurship, and Innovation at Reutlingen University, Germany. His research interests include product management, product strategy, product design, startup methods, and measurement. He has been a principal investigator of numerous research and industrial development projects. He has been chairing several renowned scientific conferences such as the ACM/IEEE Symposium on Empirical Software Engineering and Measurement (ESEM).</div><div><br></div><div><b>Rafael Prikladnicki</b> is a Director of TECNOPUC (PUCRS' Science and Technology Park) since 2013 and professor at PUCRS since 2004. He is a professor of the Graduate Program in Computer Science at PUCRS since 2010. He also serves as chair of the advisory board of IEEE Software Magazine. He was one of the founders of Agile Alliance Brazil and a member of its board of directors from 2013 to 2017. His main areas of research are software engineering and entrepreneurship, global software engineering, agile methodologies, diversity in software engineering and empirical software engineering. </div><div><br></div><div><b>Xiaofeng Wang</b> is an Associate Professor at the Computer Science Faculty, Free University of Bozen-Bolzano, Italy. Her main research areas include software startups, agile and lean software development and innovation, continuous improvement of software processes, and human factors in software engineering. She is actively publishing in both software engineering and information systems venues, including Empirical Software Engineering, IEEE Software, Journal of Systems and Software, Information Systems Research, etc. </div><div><br></div><div><b>Pekka Abrahamsson</b> is a Full Professor of Information Systems and Software Engineering at the University of Jyväskylä, Finland. He is a pioneer in the field of agile software development research and has lead two large international research projects (AGILE-ITEA, FLEXI-ITEA2). His mobile-D™ development method is the most applied mobile application development method. His current research interests include empirical software engineering, ethics in artificial intelligence, software startups, and software robots. He holds an h-index of 44 and has delivered 20 keynotes in international conferences.</div>
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