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The state of adoption and the challenges of systematic variability management in industry

Artikel i vetenskaplig tidskrift
Författare Thorsten Berger
Jan-Philipp Steghöfer
T. Ziadi
J. Robin
J. Martinez
Publicerad i Empirical Software Engineering
Nummer/häfte 25
Sidor 1755–1797
ISSN 1382-3256
Publiceringsår 2020
Publicerad vid Institutionen för data- och informationsteknik (GU)
Sidor 1755–1797
Språk en
Länkar dx.doi.org/10.1007/s10664-019-09787...
Ämnesord Variability management, Software product lines, Multiple-case study, Challenges, software product lines, evolution, reuse, model, Computer Science
Ämneskategorier Datavetenskap (datalogi)

Sammanfattning

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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