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Similarity-based prioritization in software product-line testing.
| Content Provider | CiteSeerX |
|---|---|
| Author | Al-Hajjaji, Mustafa Thüm, Thomas Meinicke, Jens Lochau, Malte Darmstadt, Tu Saake, Gunter |
| Abstract | Exhaustively testing every product of a software product line (SPL) is a difficult task due to the combinatorial explosion of the number of products. Combinatorial interaction test-ing is a technique to reduce the number of products under test. However, it is typically up-to the tester in which order these products are tested. We propose a similarity-based prioritization to be applied on these products before they are generated. The proposed approach does not guarantee to find more errors than sampling approaches, but it aims at increasing interaction coverage of an SPL under test as fast as possible over time. This is especially beneficial since usu-ally the time budget for testing is limited. We implemented similarity-based prioritization in FeatureIDE and evaluated it by comparing its outcome to the default outcome of three sampling algorithms as well as to random orders. The exper-iment results indicate that the order with similarity-based prioritization is better than random orders and often better than the default order of existing sampling algorithms. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Similarity-based Prioritization Software Product-line Testing Default Outcome Random Order Difficult Task Software Product Line Interaction Coverage Combinatorial Explosion Combinatorial Interaction Test-ing Time Budget Exper-iment Result Default Order |
| Content Type | Text |
