Reference : Hybrid software and system development in practice: Waterfall, scrum, and beyond
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
Hybrid software and system development in practice: Waterfall, scrum, and beyond
Kuhrmann, Marco mailto []
Diebold, Philipp mailto []
Münch, Jürgen mailto []
Tell, Paolo mailto []
Garousi, Vahid mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Felderer, Michael mailto []
Trektere, Kitija mailto []
McCaffery, Fergal mailto []
Linssen, Oliver mailto []
Hanser, Eckhart mailto []
Christian, Prause mailto []
Proceedings of International Conference on Software and Systems Process (ICSSP)
International Conference on Software and Systems Process (ICSSP)
05-07-2017 to 07-07-2017
[en] Software and system development faces numerous challenges of rapidly changing markets. To address such challenges, companies and projects design and adopt specific development approaches by combining well-structured comprehensive methods and flexible agile practices. Yet, the number of methods and practices is large, and available studies argue that the actual process composition is carried out in a fairly ad-hoc manner. The present paper reports on a survey on hybrid software development approaches. We study which approaches are used in practice, how different approaches are combined, and what contextual factors influence the use and combination of hybrid software development approaches. Our results from 69 study participants show a variety of development approaches used and combined in practice. We show that most combinations follow a pattern in which a traditional process model serves as framework in which several fine-grained (agile) practices are plugged in. We further show that hybrid software development approaches are independent from the company size and external triggers. We conclude that such approaches are the results of a natural process evolution, which is mainly driven by experience, learning, and pragmatism.

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