Data-Driven Software Development at Large Scale : from Ad-Hoc Data Collection to Trustworthy Experimentation

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Data-Driven Software Development at Large Scale : from Ad-Hoc Data Collection to Trustworthy Experimentation

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dc.contributor.author Fabijan, Aleksander
dc.date.accessioned 2018-04-13T07:20:15Z
dc.date.available 2018-04-13T07:20:15Z
dc.date.issued 2018 en_US
dc.identifier.isbn 9789171049186 en_US
dc.identifier.isbn 9789171049193 en_US
dc.identifier.uri http://hdl.handle.net/2043/24873
dc.description.abstract Accurately learning what customers value is critical for the success of every company. Despite the extensive research on identifying customer preferences, only a handful of software companies succeed in becoming truly data-driven at scale. Benefiting from novel approaches such as experimentation in addition to the traditional feedback collection is challenging, yet tremendously impactful when performed correctly. In this thesis, we explore how software companies evolve from data-collectors with ad-hoc benefits, to trustworthy data-driven decision makers at scale. We base our work on a 3.5-year longitudinal multiple-case study research with companies working in both embedded systems domain (e.g. engineering connected vehicles, surveillance systems, etc.) as well as in the online domain (e.g. developing search engines, mobile applications, etc.). The contribution of this thesis is three-fold. First, we present how software companies use data to learn from customers. Second, we show how to adopt and evolve controlled experimentation to become more accurate in learning what customers value. Finally, we provide detailed guidelines that can be used by companies to improve their experimentation capabilities. With our work, we aim to empower software companies to become truly data-driven at scale through trustworthy experimentation. Ultimately this should lead to better software products and services. en_US
dc.format.extent 357
dc.language.iso eng en_US
dc.publisher Malmö university, Faculty of Health and society
dc.relation.ispartofseries Studies in Computer Science; 6 sv
dc.relation.haspart Fabijan, H. H. Olsson, and J. Bosch, “The Lack of Sharing of Customer Da-ta in Large Software Organizations: Challenges and Implications,” in Pro-ceedings of the 17th International Conference on Agile Software Develop-ment XP'16, 2016. en_US
dc.relation.haspart A. Fabijan, H. H. Olsson, and J. Bosch, “Differentiating feature realization in software product development,” in Proceedings of the 18th International Conference on Product-Focused Software Process Improvement, PROFES'17, 2017 en_US
dc.relation.haspart A. Fabijan, H. H. Olsson, and J. Bosch, “Time to Say ‘Good Bye’: Feature Lifecycle,” in Proceedings of the 42th Euromicro Conference on Software Engineering and Advanced Applications, SEAA'16, 2016. en_US
dc.relation.haspart A. Fabijan, P. Dmitriev, H. H. Olsson, and J. Bosch, “The (Un)Surprising Impact of Online Controlled Experimentation,” in Revision in IEEE Soft-ware. en_US
dc.relation.haspart A. Fabijan, P. Dmitriev, H. H. Olsson, and J. Bosch, “The Evolution of Continuous Experimentation in Software Product Development,” in Pro-ceedings of the 39th International Conference on Software Engineering, ICSE’17, 2017. en_US
dc.relation.haspart A. Fabijan, P. Dmitriev, C. McFarland, L. Vermeer, H. H. Olsson, and J. Bosch, “The Experimentation Growth: Evolving Trustworthy A/B Testing Capabilities in Online Software Companies,” In Revision in Journal of Software: Evolution and Process. en_US
dc.relation.haspart S. Gupta, S. Bhardwaj, P. Dmitriev, U. Lucy, A. Fabijan, and P. Raff, “The Anatomy of a Large-Scale Online Experimentation Platform,” to appear in Proceedings 2018 IEEE International Conference on Software Architecture, ICSA'18, 2018. en_US
dc.relation.haspart A. Fabijan, P. Dmitriev, H. H. Olsson, and J. Bosch, “Effective Online Ex-periment Analysis at Large Scale,” in Submission, 2018. en_US
dc.relation.haspart A. Fabijan, P. Dmitriev, H. H. Olsson, and J. Bosch, “The Benefits of Con-trolled Experimentation at Scale,” in Proceedings of the 2017 43rd Euromicro Conference on Software Engineering and Advanced Application, SE-AA'17, 2017. en_US
dc.relation.haspart A. Fabijan, P. Dmitriev, H. H. Olsson, and J. Bosch, “Online Controlled Experimentation at Scale: An Empirical Survey on the Current State of A/B Testing,” in Submission, 2018. en_US
dc.subject.classification Technology en_US
dc.title Data-Driven Software Development at Large Scale : from Ad-Hoc Data Collection to Trustworthy Experimentation en_US
dc.type Doctoral Thesis
dc.identifier.paperprint 0 en_US
dc.contributor.department Malmö University. Faculty of Technology and Society
dc.identifier.doi 10.24834/2043/24873
dc.description.other In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Malmö University's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink.
dc.subject.srsc Research Subject Categories::TECHNOLOGY en_US
thesis.defence.date 2018-06-15
thesis.defence.time 13:00 en_US
thesis.defence.place Nordenskiöldsgatan 1, NI:B0E07 en_US
thesis.opponent.name Prof. Dr. Michael Felderer, University of Innsbruck, Austria en_US
dcterms.type Doctoral Thesis, comprehensive summary
mahlocal.rights.eplikt Yes
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