Name
Abstract | ||
|---|---|---|
A software product line is a set of software products that are distinguished in terms of features (i.e., end-user--visible units of behavior). Feature interactions ---situations in which the combination of features leads to emergent and possibly critical behavior--- are a major source of failures in software product lines. We explore how feature-aware verification can improve the automatic detection of feature interactions in software product lines. Feature-aware verification uses product-line verification techniques and supports the specification of feature properties along with the features in separate and composable units. It integrates the technique of variability encoding to verify a product line without generating and checking a possibly exponential number of feature combinations. We developed the tool suite SPLverifier for feature-aware verification, which is based on standard model-checking technology. We applied it to an e-mail system that incorporates domain knowledge of AT&T. We found that feature interactions can be detected automatically based on specifications that have only feature-local knowledge, and that variability encoding significantly improves the verification performance when proving the absence of interactions. |
Year | Venue | Keywords |
|---|---|---|
2011 | CoRR | programming language,software engineering |
Field | DocType | Volume |
Functional verification,Intelligent verification,Computer science,Runtime verification,Theoretical computer science,Feature model,Software product line,Software construction,High-level verification,Software verification | Journal | abs/1110.0021 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sven Apel | 1 | 3980 | 184.13 |
| Hendrik Speidel | 2 | 0 | 0.34 |
| Philipp Wendler | 3 | 251 | 14.51 |
| Alexander von Rhein | 4 | 316 | 11.35 |
| Dirk Beyer | 5 | 1736 | 100.85 |