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Combinatorial Testing Strategies

Combinatorial Testing Strategies. Alex Wang. Overview. Testing consumes a significant amount of the resources in developing software It’s important to increase the efficiency and effectiveness in testing. Existing Methods. Partition Testing Select test-cases manually

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Combinatorial Testing Strategies

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  1. Combinatorial Testing Strategies Alex Wang

  2. Overview • Testing consumes a significant amount of the resources in developing software • It’s important to increase the efficiency and effectiveness in testing

  3. Existing Methods • Partition Testing • Select test-cases manually • Coverage relates to partition model • Random Testing • Unrealistic • Overall failure probability was too high

  4. Combination Strategies • A class of test-case selection where test cases are identified by choosing certain values • Then combining the values selected to generated the test suite

  5. Categories of Combination Strategies • Non-deterministic • Heuristic: AETG • Rand: • Deterministic • Instant: OA, CA • Iterative: • Parameter-based: IPO • Compound

  6. Coverage Criteria • Each-used • Simplest coverage criterion • Pair-wise • Every possible pair of values • t-wise • N-wise

  7. Heuristic t-wise • Chance play a certain role in determining which tests are generated • The same preconditions may produce different results

  8. AETG

  9. Papers • R. Brownlie, J. Prowse, and M.S. PhadkeRobust Testing of AT&T PMX/StarMAIL using OATSAT&T Technical Journal, May/June 1992, pp. 41-47 • D. M. Cohen, S. R. Dalal, M. L. Fredman, and G. C. PattonThe AETG System: An Approach to Testing Based on Combinatorial DesignIEEE Transactions On Software Engineering, July 1997 (Vol. 23, No. 7) • A.W. Williams, R.L. ProbertA practical strategy for testing pair-wise coverage of network interfacesThe Seventh International Symposium on Software Reliability Engineering (ISSRE '96) p. 246

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