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- W1837150863 abstract "Software testing is a very important phase of the software development cycle which ensures that the system developed is reliable and acceptable. Optimizing the test suite size of software eliminates the unnecessary cost and resources that are involved in testing. Sometimes it is not possible to exhaustively test any system due to huge number of test cases. In order to test any system and make it acceptable, combinatorial software interaction testing has been used in several fields. Investigations have concluded that most of the software faults could be identified by pairwise combinatorial interaction testing. Researchers have applied parallel algorithms to various combinatorial optimisation problems and have succeeded in significant time reduction in solving the problems. Large and/or computationally expensive optimization problems sometimes require parallel or high-performance computing systems to achieve reasonable running times." @default.
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- W1837150863 date "2010-01-01" @default.
- W1837150863 modified "2023-09-25" @default.
- W1837150863 title "A Parallel Tree Based Strategy for Test Data Generation and Cost Calculation for Pairwise Combinatorial Interaction Testing" @default.
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- W1837150863 doi "https://doi.org/10.1007/978-3-642-14306-9_51" @default.
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