%0 Journal Article %1 Fabijan2017 %A Fabijan, Aleksander %A Dmitriev, Pavel %A Olsson, Helena Holmstrom %A Bosch, Jan %D 2017 %J International Conference on Software Engineering %K product.planning product.strategy %P 770--780 %R 10.1109/ICSE.2017.76 %T The Evolution of Continuous Experimentation in Software Product Development: From Data to a Data-Driven Organization at Scale %X 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. %@ 9781538638682

@article{Fabijan2017, 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.}, added-at = {2018-08-31T22:18:29.000+0200}, author = {Fabijan, Aleksander and Dmitriev, Pavel and Olsson, Helena Holmstrom and Bosch, Jan}, biburl = {https://www.bibsonomy.org/bibtex/244e33fc0c28bb0ebd983837ac1c1e826/andreysaltan}, doi = {10.1109/ICSE.2017.76}, file = {:Users/Andrey/Mendeley/International Conference on Software Engineering/2017/Fabijan et al/Fabijan et al. - 2017 - The Evolution of Continuous Experimentation in Software Product Development From Data to a Data-Driven Organizat.pdf:pdf}, interhash = {2c2b7bc0b05b3f3d32c2845e18365225}, intrahash = {44e33fc0c28bb0ebd983837ac1c1e826}, isbn = {9781538638682}, issn = {0270-5257}, journal = {International Conference on Software Engineering}, keywords = {product.planning product.strategy}, pages = {770--780}, timestamp = {2018-08-31T22:20:27.000+0200}, title = {The Evolution of Continuous Experimentation in Software Product Development: From Data to a Data-Driven Organization at Scale}, year = 2017 }