100+ Metrics for Software Startups : A Multi-Vocal Literature Review
Kemell, K.-K., Wang, X., Nguyen-Duc, A., Grendus, J., Tuunanen, T., & Abrahamsson, P. (2018). 100+ Metrics for Software Startups : A Multi-Vocal Literature Review. In S. Hyrynsalmi, A. Suominen, C. Jud, X. Wang, J. Bosch, & J. Münch (Eds.), SiBW 2018 : Proceedings of the First International Workshop on Software-intensive Business: Start-ups, Ecosystems and Platforms (pp. 15-29). CEUR workshop proceedings, 2305. RWTH Aachen University. Retrieved from http://ceur-ws.org/Vol-2305/paper02.pdf
Published inCEUR workshop proceedings
© the Authors, 2018.
Metrics can be used by businesses to make more objective decisions based on data. Software startups in particular are characterized by the uncertain or even chaotic nature of the contexts in which they operate. Using data in the form of metrics can help software startups to make the right decisions amidst uncertainty and limited resources. However, whereas conventional business metrics and software metrics have been studied in the past, metrics in the specific context of software startup are not widely covered within academic literature. To promote research in this area and to create a starting point for it, we have conducted a multi-vocal literature review focusing on practitioner literature in order to compile a list of metrics used by software startups. Said list is intended to serve as a basis for further research in the area, as the metrics in it are based on suggestions made by practitioners and not empirically verified.
PublisherRWTH Aachen University
ConferenceInternational Workshop on Software-intensive Business Workshop
Is part of publicationSiBW 2018 : Proceedings of the First International Workshop on Software-intensive Business: Start-ups, Ecosystems and Platforms
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