The Evolution of Continuous Experimentation in Software Product Development: From Data to a Data-Driven Organization at Scale

Aleksander Fabijan, Pavel A. Dmitriev, H. H. Olsson, J. Bosch
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引用次数: 91

Abstract

Software development companies are increasingly aiming to become data-driven by trying to continuously experiment with the products used by their customers. Although familiar with the competitive edge that the A/B testing technology delivers, they seldom succeed in evolving and adopting the methodology. In this paper, and based on an exhaustive and collaborative case study research in a large software-intense company with highly developed experimentation culture, we present the evolution process of moving from ad-hoc customer data analysis towards continuous controlled experimentation at scale. Our main contribution is the "Experimentation Evolution Model" in which we detail three phases of evolution: technical, organizational and business evolution. With our contribution, we aim to provide guidance to practitioners on how to develop and scale continuous experimentation in software organizations with the purpose of becoming data-driven at scale.
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软件产品开发中持续实验的演变:从数据到大规模的数据驱动组织
软件开发公司越来越倾向于通过不断尝试客户使用的产品来实现数据驱动。虽然熟悉A/B测试技术带来的竞争优势,但他们很少成功地发展和采用这种方法。在本文中,基于对一家大型软件密集型公司的详尽和协作案例研究,该公司具有高度发达的实验文化,我们展示了从临时客户数据分析转向大规模连续控制实验的演变过程。我们的主要贡献是“实验进化模型”,其中我们详细描述了进化的三个阶段:技术、组织和业务进化。通过我们的贡献,我们的目标是为实践者提供关于如何在软件组织中开发和扩展持续实验的指导,以实现大规模的数据驱动。
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