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

Conference paper
Authors Richard Berntsson Svensson
Robert Feldt
Richard Torkar
Published in 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
Publisher Springer
Publication year 2019
Published at Institutionen för data- och informationsteknik, Software Engineering (GU)
Language en
Links doi.org/10.1007/978-3-030-19034-7_5
https://arxiv.org/abs/1904.03948
Keywords Data-Driven Decision Making, Agile, Survey
Subject categories Software Engineering

Abstract

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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