The state of adoption and the challenges of systematic variability management in industry
Handling large-scale software variability is still a challenge for many organizations. After decades of research on variability management concepts, many industrial organizations have introduced techniques known from research, but still lament that pure textbook approaches are not applicable or effi...
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| Published in: | Empirical software engineering : an international journal Vol. 25; no. 3; pp. 1755 - 1797 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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New York
Springer US
01.05.2020
Springer Nature B.V Springer Verlag |
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| ISSN: | 1382-3256, 1573-7616, 1573-7616 |
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| Abstract | Handling large-scale software variability is still a challenge for many organizations. After decades of research on variability management concepts, many industrial organizations have introduced techniques known from research, but still lament that pure textbook approaches are not applicable or efficient. For instance, software product line engineering—an approach to systematically develop portfolios of products—is difficult to adopt given the high upfront investments; and even when adopted, organizations are challenged by evolving their complex product lines. Consequently, the research community now mainly focuses on re-engineering and evolution techniques for product lines; yet, understanding the current state of adoption and the industrial challenges for organizations is necessary to conceive effective techniques. In this multiple-case study, we analyze the current adoption of variability management techniques in twelve medium- to large-scale industrial cases in domains such as automotive, aerospace or railway systems. We identify the current state of variability management, emphasizing the techniques and concepts they adopted. We elicit the needs and challenges expressed for these cases, triangulated with results from a literature review. We believe our results help to understand the current state of adoption and shed light on gaps to address in industrial practice. |
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| AbstractList | © 2020, The Author(s). Handling large-scale software variability is still a challenge for many organizations. After decades of research on variability management concepts, many industrial organizations have introduced techniques known from research, but still lament that pure textbook approaches are not applicable or efficient. For instance, software product line engineering—an approach to systematically develop portfolios of products—is difficult to adopt given the high upfront investments; and even when adopted, organizations are challenged by evolving their complex product lines. Consequently, the research community now mainly focuses on re-engineering and evolution techniques for product lines; yet, understanding the current state of adoption and the industrial challenges for organizations is necessary to conceive effective techniques. In this multiple-case study, we analyze the current adoption of variability management techniques in twelve medium- to large-scale industrial cases in domains such as automotive, aerospace or railway systems. We identify the current state of variability management, emphasizing the techniques and concepts they adopted. We elicit the needs and challenges expressed for these cases, triangulated with results from a literature review. We believe our results help to understand the current state of adoption and shed light on gaps to address in industrial practice. Handling large-scale software variability is still a challenge for many organizations. After decades of research on variability management concepts, many industrial organizations have introduced techniques known from research, but still lament that pure textbook approaches are not applicable or efficient. For instance, software product line engineering—an approach to systematically develop portfolios of products—is difficult to adopt given the high upfront investments; and even when adopted, organizations are challenged by evolving their complex product lines. Consequently, the research community now mainly focuses on re-engineering and evolution techniques for product lines; yet, understanding the current state of adoption and the industrial challenges for organizations is necessary to conceive effective techniques. In this multiple-case study, we analyze the current adoption of variability management techniques in twelve medium- to large-scale industrial cases in domains such as automotive, aerospace or railway systems. We identify the current state of variability management, emphasizing the techniques and concepts they adopted. We elicit the needs and challenges expressed for these cases, triangulated with results from a literature review. We believe our results help to understand the current state of adoption and shed light on gaps to address in industrial practice. |
| Author | Berger, Thorsten Ziadi, Tewfik Robin, Jacques Martinez, Jabier Steghöfer, Jan-Philipp |
| Author_xml | – sequence: 1 givenname: Thorsten surname: Berger fullname: Berger, Thorsten email: thorsten.berger@chalmers.se organization: Chalmers | University of Gothenburg – sequence: 2 givenname: Jan-Philipp surname: Steghöfer fullname: Steghöfer, Jan-Philipp organization: Chalmers | University of Gothenburg – sequence: 3 givenname: Tewfik surname: Ziadi fullname: Ziadi, Tewfik organization: Sorbonne University – sequence: 4 givenname: Jacques surname: Robin fullname: Robin, Jacques organization: University of Paris 1 Pantheon-Sorbonne – sequence: 5 givenname: Jabier surname: Martinez fullname: Martinez, Jabier organization: Tecnalia |
| BackLink | https://hal.sorbonne-universite.fr/hal-02400963$$DView record in HAL https://gup.ub.gu.se/publication/294366$$DView record from Swedish Publication Index (Göteborgs universitet) https://research.chalmers.se/publication/549115$$DView record from Swedish Publication Index (Chalmers tekniska högskola) |
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| Keywords | Variability management Multiple-case study Software product lines Challenges software product lines variability management challenges multiple-case study |
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