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Software start-ups through an empirical lens: Are start-ups snowflakes?
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2018 (English)In: CEUR Workshop Proceedings / [ed] Wang X.,Munch J.,Suominen A.,Bosch J.,Jud C.,Hyrynsalmi S., CEUR-WS , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Most of the existing research assume that software start-ups are “unique” and require a special approach to software engineering. The uniqueness of start-ups is often justified by the scarcity of resources, time pressure, little operating history, and focus on innovation. As a consequence, most research on software start-ups concentrate on exploring the start-up context and are overlooking the potential of transferring the best engineering practices from other contexts to start-ups. In this paper, we examine results from an earlier mapping study reporting frequently used terms in literature used to characterize start-ups. We analyze how much empirical evidence support each characteristic, and how unique each characteristic is in the context of innovative, market-driven, software-intensive product development. Our findings suggest that many of the terms used to describe startups originate from anecdotal evidence and have little empirical backing. Therefore, there is a potential to revise the original start-up characterization. In conclusion, we identify three potential research avenues for further work: a) considering shareholder perspective in product decisions, b) providing support for software engineering in rapidly growing organizations, and c) focusing on transferring the best engineering practices from other contexts to start-ups. © 2018 CEUR-WS. All rights reserved.

Place, publisher, year, edition, pages
CEUR-WS , 2018.
Series
CEUR Workshop Proceedings, ISSN 1613-0073
Keywords [en]
Engineering context, Software engineering, Start-ups, Boron compounds, Ecosystems, Engineering research, Silicon compounds, Tungsten compounds, Anecdotal evidences, Engineering practices, Further works, Mapping studies, Market driven, Potential researches, Time pressures, C (programming language)
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-17590Scopus ID: 2-s2.0-85060578194OAI: oai:DiVA.org:bth-17590DiVA, id: diva2:1287505
Conference
1st International Workshop on Software-Intensive Business: Start-Ups, Ecosystems and Platforms, SiBW 2018, Espoo, Finland, 3 December 2018
Available from: 2019-02-11 Created: 2019-02-11 Last updated: 2019-02-11Bibliographically approved

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Klotins, Eriks

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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Output format
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