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The Benefits of Controlled Experimentation at Scale
Malmö högskola, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0003-4908-2708
Microsoft Analysis & Experimentation, Redmond, USA.
Malmö högskola, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Dep. of Computer Science, Chalmers University of Tech., Göteborg, Sweden.ORCID iD: 0000-0002-7700-1816
Chalmers Univ Tech, Dept Comp Sci, Gothenburg, Sweden.
2017 (English)In: 2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA), IEEE, 2017, p. 18-26Conference paper, Published paper (Refereed)
Abstract [en]

Online controlled experiments (for example A/B tests) are increasingly being performed to guide product development and accelerate innovation in online software product companies. The benefits of controlled experiments have been shown in many cases with incremental product improvement as the objective. In this paper, we demonstrate that the value of controlled experimentation at scale extends beyond this recognized scenario. Based on an exhaustive and collaborative case study in a large software-intensive company with highly developed experimentation culture, we inductively derive the benefits of controlled experimentation. The contribution of our paper is twofold. First, we present a comprehensive list of benefits and illustrate our findings with five case examples of controlled experiments conducted at Microsoft. Second, we provide guidance on how to achieve each of the benefits. With our work, we aim to provide practitioners in the online domain with knowledge on how to use controlled experimentation to maximize the benefits on the portfolio, product and team level.

Place, publisher, year, edition, pages
IEEE, 2017. p. 18-26
Keywords [en]
controlled experimentation, leading metrics, lagging metrics, data-driven development
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-12454DOI: 10.1109/SEAA.2017.47ISI: 000426074600003Scopus ID: 2-s2.0-85034415474Local ID: 24150OAI: oai:DiVA.org:mau-12454DiVA, id: diva2:1409501
Conference
Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Vienna, Austria (2017)
Available from: 2020-02-29 Created: 2020-02-29 Last updated: 2024-06-18Bibliographically approved

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Fabijan, AleksanderOlsson, Helena Holmström

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