Publikationer från Malmö universitet
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Commodity Eats Innovation for Breakfast: A Model for Differentiating Feature Realization
Malmö högskola, Fakulteten för teknik och samhälle (TS).ORCID-id: 0000-0003-4908-2708
Malmö högskola, Fakulteten för teknik och samhälle (TS).ORCID-id: 0000-0002-7700-1816
Department of Computer Science and Engineering, Chalmers University of Technology, Hörselgången 11, Göteborg, 412 96, Sweden.
2016 (engelsk)Inngår i: Product-Focused Software Process Improvement: 17th International Conference, PROFES 2016, Trondheim, Norway, November 22-24, 2016, Proceedings, Springer, 2016, s. 517-525Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Once supporting the electrical and mechanical functionality, software today became the main competitive advantage in products. However, in the companies that we study, the way in which software features are developed still reflects the traditional ‘requirements over the wall’ approach. As a consequence, individual departments prioritize what they believe is the most important and are unable to identify which features are regularly used – ‘flow’, there to be bought – ‘wow’, differentiating and that add value to customers, or which are regarded commodity. In this paper, and based on case study research in three large software-intensive companies, we (1) provide empirical evidence that companies do not distinguish between different types of features, which causes poor allocation of R&D efforts and suppresses innovation, and (2) develop a model in which we depict the activities for differentiating and working with different types of features and stakeholders.

sted, utgiver, år, opplag, sider
Springer, 2016. s. 517-525
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10027
Emneord [en]
checkbox feature, customer feedback, Innovation, Commodity, Wow feature, Flow feature, Duty feature
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-12676DOI: 10.1007/978-3-319-49094-6_37ISI: 000899308800037Scopus ID: 2-s2.0-84998579413Lokal ID: 21728OAI: oai:DiVA.org:mau-12676DiVA, id: diva2:1409723
Konferanse
Product-Focused Software Process Improvement (PROFES), Trondheim, Norway (22th-24th November 2016)
Tilgjengelig fra: 2020-02-29 Laget: 2020-02-29 Sist oppdatert: 2024-06-17bibliografisk kontrollert
Inngår i avhandling
1. Developing the right features: the role and impact of customer and product data in software product development
Åpne denne publikasjonen i ny fane eller vindu >>Developing the right features: the role and impact of customer and product data in software product development
2016 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Malmö university, Faculty of Technology and Society, 2016. s. 243
Serie
Studies in Computer Science ; 3
Emneord
customer feedback, data-driven development, feature value, feature differentiation
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-7794 (URN)21268 (Lokal ID)978-91-7104-736-6 (ISBN)978-91-7104-737-3 (ISBN)21268 (Arkivnummer)21268 (OAI)
Presentation
2016-11-11, Niagara, NI:B0E07, Malmö, 13:15 (engelsk)
Opponent
Tilgjengelig fra: 2020-02-28 Laget: 2020-02-28 Sist oppdatert: 2024-04-04bibliografisk kontrollert

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Fabijan, AleksanderOlsson Holmström, Helena

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