Abstract
Numerous approaches are available for modeling product lines and their variability. However, the long-term impacts of model-based development on maintenance effort and model complexity can hardly be investigated due to a lack of empirical data. Conducting empirical research in product line engineering is difficult as companies are typically reluctant to provide access to data from their product lines. Also, many benefits of product lines can be measured only in longitudinal studies, which are difficult to perform in most environments
| Original language | English |
|---|---|
| Pages (from-to) | 758-769 |
| Number of pages | 12 |
| Journal | Information and Software Technology |
| Volume | 52 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Jul 2010 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Fields of science
- 102 Computer Sciences
- 102009 Computer simulation
- 102011 Formal languages
- 102013 Human-computer interaction
- 102029 Practical computer science
- 102022 Software development
- 102024 Usability research
JKU Focus areas
- Computation in Informatics and Mathematics
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