Developing the right features: the role and impact of customer and product data in software product development

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Developing the right features: the role and impact of customer and product data in software product development

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Public defence 2016-11-11
Time 13:15
Location Niagara, NI:B0E07
Faculty examiner Diskussionsledare/Moderator: Kurt Schneider, Professor, Head of Software Engineering Group, Faculty of Computer Science, Leibnitz Universität Hannover
Publication Licentiate Thesis
Title Developing the right features: the role and impact of customer and product data in software product development
Author(s) Fabijan, Aleksander
Date 2016
English abstract
Software product development companies are increasingly striving to become data-driven. The access to customer feedback and product data has been, with products increasingly becoming connected to the Internet, demonetized. Systematically collecting the feedback and efficiently using it in product development, however, are challenges that large-scale software development companies face today when being faced by large amounts of available data. In this thesis, we explore the collection, use and impact of customer feedback on software product development. We base our work on a 2-year longitudinal multiple-case study research with case companies in the software-intensive domain, and complement it with a systematic review of the literature. In our work, we identify and confirm that large-software companies today collect vast amounts of feedback data, however, struggle to effectively use it. And due to this situation, there is a risk of prioritizing the development of features that may not deliver value to customers. Our contribution to this problem is threefold. First, we present a comprehensive and systematic review of activities and techniques used to collect customer feedback and product data in software product development. Next, we show that the impact of customer feedback evolves over time, but due to the lack of sharing of the collected data, companies do not fully benefit from this feedback. Finally, we provide an improvement framework for practitioners and researchers to use the collected feedback data in order to differentiate between different feature types and to model feature value during the lifecycle. With our contributions, we aim to bring software companies one step closer to data-driven decision making in software product development.
Publisher Malmö university, Faculty of Technology and Society
Series/Issue Studies in Computer Science;3
ISBN 978-91-7104-736-6 (print)
978-91-7104-737-3 (pdf)
Pages 243
Language eng (iso)
Subject(s) customer feedback
data-driven development
feature value
feature differentiation
Technology
Research Subject Categories::TECHNOLOGY
Included papers
  1. I. Fabijan, A., Olsson, H.H., Bosch, J.: Early Value Argumentation and Prediction: An Iterative Approach to Quantifying Feature Value. Shorter version of this paper appeared in: Proceedings of the 16th International Conference on Product-Focused Software Process Improvement. pp. 16– 23. Springer, Bolzano, Italy. (2015).

  2. II. Fabijan, A., Olsson, H.H., Bosch, J.: The Lack of Sharing of Customer Data in Large Software Organizations: Challenges and Implications. In: Proceedings of the 17th International Conference on Agile Software Development XP2016. pp. 39–52. Springer, Edinburgh, Scotland. (2016).

  3. III. Fabijan, A., Olsson, H.H., Bosch, J.: Time to Say “Good Bye”: Feature Lifecycle. To appear in: Proceedings of the 42nd Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2016. Limassol, Cyprus. (2016).

  4. IV. Fabijan, A., Olsson, H.H., Bosch, J.: Commodity Eats Innovation for Breakfast: A Model for Differentiating Feature Realization. Shorter version of this paper to appear in: Proceedings of the 17th International Conference on Product-Focused Software Process Improvement. Trondheim, Norway. (2016). 11

  5. V. Fabijan, A., Olsson, H.H. and Bosch, J. “Customer Feedback and Data Collection Techniques: A Systematic Literature Review on the Role and Impact of Feedback in Software Product Development”. Submitted to a journal. (2016).

Handle http://hdl.handle.net/2043/21268 (link to this page)

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