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Software Engineering Antipatterns in Start-Ups
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Software startups typically perform light-weight, informal and ad-hoc requirements engineering, in particular during the early stages of the startup venture due to limited resources.
“Software startups typically perform light-weight, informal and ad-hoc requirements engineering, in particular during the early stages of the startup venture due to limited resources (Giardino et al. 2014;Klotins et al. 2019;Nguyen-Duc et al. 2017;Terho et al. 2016).”
From An empirically based model of software prototyping: a mapping study and a multi-case study (2023) · cites this paper as Klotins et al. 2019
Section 3.1 describes start-ups gathering requirements through interviews, brainstorming and customer feedback, while the Introduction notes their limited resources. The paper does not establish that requirements engineering is typically lightweight, informal and ad hoc, or that resource constraints cause this approach particularly in early stages. Page numbers were not available in our copy. (LLM, conf=0.82)
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No references could be resolved yet.
Research works printed but not linked: 15
- melegati, 0, Requirements engineering in software startups: A grounded theory approach, Proceedings of the 2nd International Workshop on Software Startup, 57
- 10.1109/52.903168 · DOI
- 10.1016/j.jss.2012.12.052 · DOI · Paper page
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- 10.1109/MS.2017.84 · DOI
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- 10.1007/978-3-319-18612-2_5 · DOI · Paper page
- 2018, 287 startup failure post-mortems
- crowne, 0, Why software product startups fail and what to do about it, Proc Engineering Management Conf, 338
- 10.1007/s10664-015-9380-x · DOI
- petersen, 2017, Choosing component origins for software Intensive systems: In-house, COTS, OSS or outsourcing?—A case survey, IEEE Trans Softw Eng, 44, 237, 10.1109/TSE.2017.2677909 · DOI
- blank, 2013, Why the Lean start up changes everything, Harv Bus Rev, 91, 64
- 2017, The State of European Tech 2017
- 10.1109/MS.2008.48 · DOI
Cited by
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An empirically based model of software prototyping: a mapping study and a multi-case study
Bjarnason, E., Lang, F., & Mjöberg, A. (2023) · Empirical Software Engineering · doi:10.1007/s10664-023-10331-w · Cited by 75
Metadata
- Authors
- Klotins, E., Unterkalmsteiner, M., & Gorschek, T.
- Affiliations
- Software Engineering, Blekinge Institute of Technology
- Free University of Bozen-Bolzano
- Blekinge Institute of Technology
- ORCID
- Klotins, Eriks
- Venue
- IEEE Software
- Published
- 2019-03
- Volume
- 36
- Issue
- 2
- Pages
- 118-126
- ISSN
- 0740-7459
- 1937-4194
- Cited by
- 17
- References
- 0
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