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The unfulfilled potential of data-driven decision making in agile software development

Paper i proceeding
Författare Richard Berntsson Svensson
Robert Feldt
Richard Torkar
Publicerad i Proceedings of the 20th International Conference on Agile Software Development (XP). Kruchten P., Fraser S., Coallier F. (eds) Agile Processes in Software Engineering and Extreme Programming. XP 2019
ISBN 978-3-030-19033-0
ISSN 1865-1348
Förlag Springer
Publiceringsår 2019
Publicerad vid Institutionen för data- och informationsteknik, Software Engineering (GU)
Språk en
Länkar doi.org/10.1007/978-3-030-19034-7_5
https://arxiv.org/abs/1904.03948
Ämnesord Data-Driven Decision Making, Agile, Survey
Ämneskategorier Programvaruteknik

Sammanfattning

With the general trend towards data-driven decision making (DDDM), organizations are looking for ways to use DDDM to improve their decisions. However, few studies have looked into the practitioners view of DDDM, in particular for agile organizations. In this paper we investigated the experiences of using DDDM, and how data can improve decision making. An emailed questionnaire was sent out to 124 industry practitioners in agile software developing companies, of which 84 answered. The results show that few practitioners indicated a widespread use of DDDM in their current decision making practices. The practitioners were more positive to its future use for higher-level and more general decision making, fairly positive to its use for requirements elicitation and prioritization decisions, while being less positive to its future use at the team level. The practitioners do see a lot of potential for DDDM in an agile context; however, currently unfulfilled.

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