dc.contributor.author | Cico, Orges | |
dc.contributor.author | Nguyen Duc, Anh | |
dc.contributor.author | Jaccheri, Maria Letizia | |
dc.date.accessioned | 2020-10-19T08:53:10Z | |
dc.date.available | 2020-10-19T08:53:10Z | |
dc.date.created | 2020-05-30T08:36:12Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Cico, O., Duc, A. N., & Jaccheri, L. (2020). An Empirical Investigation on Software Practices in Growth Phase Startups. I J. Li, L. Jaccheri, T. Dingsøyr & R. Chitchyan (Red.), Proceedings of the Evaluation and Assessment in Software Engineering (s. 282-287). | en_US |
dc.identifier.isbn | 9781450377317 | |
dc.identifier.uri | https://hdl.handle.net/11250/2683547 | |
dc.description.abstract | Context: Software startups are software-intensive early-stage companies with high growth rates. We notice little evidence in the literature concerning engineering practices when startups transition to the growth phase.
Aim: Our goal is to evaluate how software startups embrace software engineering practices.
Methodology: We conduct a survey guided by semi-structured interviews as an initial step, to be followed by field questionnaires as part of a future exploratory study. We use open coding to identify patterns leading to themes we use to state our hypotheses. To identify our samples, we use purposive sampling.
Results: Specifically, we analyze seven startup cases during the first qualitative phase. We obtain five antipatterns (no-documentation, no-agile, no-code intellectual property protection, cowboy programming, no-automated testing) and corresponding patterns (readable code, ad-hoc project management, private code repositories, paired and individual programming, adhoc testing) in adopting software engineering practices. We state 10 corresponding hypotheses we intend to corroborate by surveying a more significant number of software startups.
Contribution: This study, throughout its recommendations, provides an initial road map for software startups in the growth phase, allowing future researchers and practitioners to make educated recommendations. | en_US |
dc.language.iso | eng | en_US |
dc.relation.ispartof | EASE '20: Proceedings of the Evaluation and Assessment in Software Engineering | |
dc.title | An Empirical Investigation on Software Practices in Growth Phase Startups. | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © 2020 Association for Computing Machinery. | en_US |
dc.source.pagenumber | 282-287 | en_US |
dc.identifier.doi | https://doi.org/10.1145/3383219.3383249 | |
dc.identifier.cristin | 1813301 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |