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Software development methodologies and practices in start-ups
University of Oulu, Finland.
University of Oulu, Finland.
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). University of Oulu, Finland; Gdansk University of Technolog, Poland.
2019 (engelsk)Inngår i: IET Software, ISSN 1751-8806, E-ISSN 1751-8814, Vol. 13, nr 6, s. 497-509Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Software start-ups are aiming to develop cutting-edge software products under highly uncertain conditions, overcoming fast-growing markets under multiple influences. This study aims to identify and analyse the existing scientific literature regarding software development methodologies and practices in software start-ups published between January 2006 and December 2017 using the systematic mapping study. The results identified 37 relevant primary studies out of 1982 papers. To validate the results from the mapping study, an empirical study was based on the research data collected from 14 real-life software start-ups located in Finland, Italy and Norway. The result shows that Agile and Lean start-up methodologies are the most commonly used in software start-ups due to the flexible nature and easy tailoring. A total of 144 software development work practices are extracted from the primary studies. This study contributes to the research in several ways: (i) provides state of the art regarding software development methods and practices in software start-up contexts, (ii) reports commonly used methods along with its benefits identified in primary studies and (iii) identifies opportunities for future software start-up research.

sted, utgiver, år, opplag, sider
Institution of Engineering and Technology, 2019. Vol. 13, nr 6, s. 497-509
Emneord [en]
Mapping, Empirical studies, Scientific literature, Software development methodologies, Software development methods, Software products, State of the art, Systematic mapping studies, Uncertain condition, Software design
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-75974DOI: 10.1049/iet-sen.2018.5270ISI: 000499993300002Scopus ID: 2-s2.0-85075825906OAI: oai:DiVA.org:kau-75974DiVA, id: diva2:1378727
Tilgjengelig fra: 2019-12-13 Laget: 2019-12-13 Sist oppdatert: 2020-01-09bibliografisk kontrollert

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