Abstract
Software variability is an ability to change (configure,
customize, extend) software artefacts (e.g. code,
product, domain requirements, models, design,
documentation, test cases) for a specific context.
Optimized variability management can lead a software
company to 1) shorter development lead time, 2) improved
customer and improved user satisfaction, 3) reduced
complexity of product management (more variability, same
$) and 4) reduced costs (same variability, less $).
However, it is not easy for software companies,
especially small and medium size of enterprises to deal
with variability. In this paper we present variability
challenges and used practices collected from five SMEs.
Our study indicates that increased product complexity can
lead growing SMEs to the time-consuming decision-making.
Many of the analyzed medium size of companies also expect
improved tool support to help them to boost their
productivity when managing increasingly complex products
and increasing amount of variants In fact, in many of the
analysed SMEs, a high level of automation in design,
release management and testing are or become a key factor
for market success By introducing the challenges and used
practices related to variability the paper deepens
understanding of this highly relevant but relatively
under-researched phenomenon and contributes to the
literature on software product line engineering.
Original language | English |
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Pages (from-to) | 1144-1168 |
Journal | Empirical Software Engineering |
Volume | 19 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2014 |
MoE publication type | A1 Journal article-refereed |
Keywords
- software variability challenges
- variability practices