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Time to Say 'Good Bye': Feature Lifecycle
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
Chalmers University of Technology, Dep. of Computer Science and Eng., Göteborg, Sweden.
2016 (Engelska)Ingår i: Proceedings 42nd Euromicro Conference on Software Engineering and Advanced Applications SEAA 2016, IEEE, 2016, s. 9-16Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

With continuous deployment of software functionality, a constant flow of new features to products is enabled. Although new functionality has potential to deliver improvements and possibilities that were previously not available, it does not necessary generate business value. On the contrary, with fast and increasing system complexity that is associated with high operational costs, more waste than value risks to be created. Validating how much value a feature actually delivers, project how this value will change over time, and know when to remove the feature from the product are the challenges large software companies increasingly experience today. We propose and study the concept of a software feature lifecycle from a value point of view, i.e. how companies track feature value throughout the feature lifecycle. The contribution of this paper is a model that illustrates how to determine (1) when to add the feature to a product, (2) how to track and (3) project the value of the feature during the lifecycle, and how to (4) identify when a feature is obsolete and should be removed from the product.

Ort, förlag, år, upplaga, sidor
IEEE, 2016. s. 9-16
Serie
Proceedings of the Euromicro Conference, ISSN 2376-9505
Nyckelord [en]
value modeling, customer feedback, feature lifecycle
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:mau:diva-12477DOI: 10.1109/SEAA.2016.59ISI: 000386649000002Scopus ID: 2-s2.0-85020708719Lokalt ID: 21729OAI: oai:DiVA.org:mau-12477DiVA, id: diva2:1409524
Konferens
Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Limassol, Cyprus (31st August-2nd September, 2016)
Tillgänglig från: 2020-02-29 Skapad: 2020-02-29 Senast uppdaterad: 2024-06-17Bibliografiskt granskad
Ingår i avhandling
1. Data-Driven Software Development at Large Scale: from Ad-Hoc Data Collection to Trustworthy Experimentation
Öppna denna publikation i ny flik eller fönster >>Data-Driven Software Development at Large Scale: from Ad-Hoc Data Collection to Trustworthy Experimentation
2018 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
Malmö university, Faculty of Technology and society, 2018. s. 357
Serie
Studies in Computer Science ; 6
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
urn:nbn:se:mau:diva-7768 (URN)10.24834/2043/24873 (DOI)24873 (Lokalt ID)9789171049186 (ISBN)9789171049193 (ISBN)24873 (Arkivnummer)24873 (OAI)
Disputation
2018-06-15, NI:B0E07, Nordenskiöldsgatan 1, 13:00 (Engelska)
Opponent
Anmärkning

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.

Tillgänglig från: 2020-02-28 Skapad: 2020-02-28 Senast uppdaterad: 2024-04-04Bibliografiskt granskad
2. Developing the right features: the role and impact of customer and product data in software product development
Öppna denna publikation i ny flik eller fönster >>Developing the right features: the role and impact of customer and product data in software product development
2016 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Malmö university, Faculty of Technology and Society, 2016. s. 243
Serie
Studies in Computer Science ; 3
Nyckelord
customer feedback, data-driven development, feature value, feature differentiation
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
urn:nbn:se:mau:diva-7794 (URN)21268 (Lokalt 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 (Engelska)
Opponent
Tillgänglig från: 2020-02-28 Skapad: 2020-02-28 Senast uppdaterad: 2024-04-04Bibliografiskt granskad

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Fabijan, AleksanderOlsson Holmström, Helena

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