Resumen
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.
Idioma original | Inglés |
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Título de la publicación alojada | ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering |
Editores | Sven Apel, Marlon Dumas, Alessandra Russo, Dietmar Pfahl |
Editorial | Association for Computing Machinery, Inc |
Páginas | 1037-1047 |
Número de páginas | 11 |
ISBN (versión digital) | 9781450355728 |
DOI | |
Estado | Publicada - 12 ago. 2019 |
Evento | 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2019 - Tallinn, Estonia Duración: 26 ago. 2019 → 30 ago. 2019 |
Serie de la publicación
Nombre | 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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Conferencia
Conferencia | 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2019 |
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País/Territorio | Estonia |
Ciudad | Tallinn |
Período | 26/08/19 → 30/08/19 |
Nota bibliográfica
Publisher Copyright:© 2019 ACM.