Abstract
Software startups develop innovative products under extreme conditions of uncertainty. At the same time they represent a fast-growing sector in the economy and scale up research and technological advancement. This paper describes findings after observing a startup during its first 31 months of life. The data was collected through observations, unstructured interviews as well as from technical and managerial documentation of the startup. The findings are based on a deductive analysis and summarized in 24 contextualized patterns that concern communication, interaction with customer, teamwork, and management. Furthermore, 13 lessons learned are presented with the aim of sharing experience with other startups. This industry report contributes to understanding the applicability and usefulness of startups' patterns, providing valuable knowledge for the startup software engineering community.
Original language | English |
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Title of host publication | ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering |
Editors | Sven Apel, Marlon Dumas, Alessandra Russo, Dietmar Pfahl |
Publisher | Association for Computing Machinery, Inc |
Pages | 1037-1047 |
Number of pages | 11 |
ISBN (Electronic) | 9781450355728 |
DOIs | |
State | Published - 12 Aug 2019 |
Event | 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2019 - Tallinn, Estonia Duration: 26 Aug 2019 → 30 Aug 2019 |
Publication series
Name | ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering |
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Conference
Conference | 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2019 |
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Country/Territory | Estonia |
City | Tallinn |
Period | 26/08/19 → 30/08/19 |
Bibliographical note
Publisher Copyright:© 2019 ACM.
Keywords
- Industrial report
- Patterns
- Software engineering
- Startups