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| 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 |
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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