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Differentiating Feature Realization in Software Product Development
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, Gothenburg, 412 96, Sweden.
2017 (Engelska)Ingår i: Product-Focused Software Process Improvement: Product-Focused Software Process Improvement. PROFES 2017., Springer, 2017, s. 221-236Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Software is no longer only supporting mechanical and electrical products. Today, it is becoming the main competitive advantage and an enabler of innovation. Not all software, however, has an equal impact on customers. Companies still struggle to differentiate between the features that are regularly used, there to be for sale, differentiating and that add value to customers, or which are regarded commodity. Goal: The aim of this paper is to (1) identify the different types of software features that we can find in software products today, and (2) recommend how to prioritize the development activities for each of them. Method: In this paper, we conduct a case study with five large-scale software intensive companies. Results: Our main result is a model in which we differentiate between four fundamentally different types of features (e.g. ‘Checkbox’, ‘Flow’, ‘Duty’ and ‘Wow’). Conclusions: Our model helps companies in (1) differentiating between the feature types, and (2) selecting an optimal methodology for their development (e.g. ‘Output-Driven’ vs. ‘Outcome-Driven’).

Ort, förlag, år, upplaga, sidor
Springer, 2017. s. 221-236
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10611
Nyckelord [en]
Data, Feedback, Outcome-driven development, data-driven development, Goal-oriented development
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:mau:diva-12579DOI: 10.1007/978-3-319-69926-4_16ISI: 000439967400016Scopus ID: 2-s2.0-85034596851Lokalt ID: 24152OAI: oai:DiVA.org:mau-12579DiVA, id: diva2:1409626
Konferens
Product-Focused Software Process Improvement (PROFES), Innsbruck, Austria (29 November - 01 December)
Tillgänglig från: 2020-02-29 Skapad: 2020-02-29 Senast uppdaterad: 2024-06-18Bibliografiskt 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

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Fabijan, AleksanderOlsson Holmström, Helena

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