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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Public defence 2018-06-15
Time 13:00
Location Nordenskiöldsgatan 1, NI:B0E07
Faculty examiner Prof. Dr. Michael Felderer, University of Innsbruck, Austria
Publication Doctoral Thesis
Title Data-Driven Software Development at Large Scale : from Ad-Hoc Data Collection to Trustworthy Experimentation
Author Fabijan, Aleksander
Date 2018
English 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.
DOI https://doi.org/10.24834/2043/24873 (link to publisher's fulltext.)
Publisher Malmö university, Faculty of Health and society
Series/Issue Studies in Computer Science; 6
ISBN 9789171049186
9789171049193
Pages 357
Language eng (iso)
Subject Technology
Research Subject Categories::TECHNOLOGY
Note In reference to IEEE copyrighted material which is used with permissio... (see Details for more)
Included papers
  1. 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.

  2. 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

  3. 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.

  4. A. Fabijan, P. Dmitriev, H. H. Olsson, and J. Bosch, “The (Un)Surprising Impact of Online Controlled Experimentation,” in Revision in IEEE Soft-ware.

  5. 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.

  6. 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.

  7. 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.

  8. A. Fabijan, P. Dmitriev, H. H. Olsson, and J. Bosch, “Effective Online Ex-periment Analysis at Large Scale,” in Submission, 2018.

  9. 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.

  10. 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.

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