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Test Oracles and Test Script Generation in Combinatorial Testing Peter M. Kruse Berner & Mattner Systemtechnik GmbH Berlin, Germany Overview Classification Tree Method Expected results Executable test scripts Test Oracles and


  1. Test Oracles and Test Script Generation in Combinatorial Testing Peter M. Kruse Berner & Mattner Systemtechnik GmbH Berlin, Germany

  2. Overview • Classification Tree Method • Expected results • Executable test scripts Test Oracles and Test Script Generation in 2016-04-10 2 Combinatorial Testing

  3. Combinatorial Testing Background • Combinatorial Interaction Testing (CIT) is a black box system testing technique that samples inputs, configurations and parameters and combines them in a systematic fashion. • Creating functional tests derived from software's specifications Thomas J. Ostrand and Marc J. Balcer. The Category-Partition Method for specifying and generating functional tests, 1988 • Coverage Criterion: Minimum, Maximum, Pairwise, N-Wise • Pairwise NP Complete Yu Lei, Kuo-Chung Tai. In-parameter-order: a test generation strategy for pairwise testing, 1998 • N-wise NP Complete Alan W. Williams and Robert L. Probert. A measure for component interaction test coverage, 2001 • Constraints Myra B. Cohen, Matthew B. Dwyer, and Jiangfan Shi. Interaction testing of highly-configurable systems in the presence of constraints, 2007 Test Oracles and Test Script Generation in 2016-04-10 3 Combinatorial Testing

  4. Classification Tree Method • Grochtmann/Grimm 1993, Daimler Research Two Steps: • 1st Design Classification Tree – One Classification per test aspect (Parameter) – One Class for each parameter value – Resulting in a Tree of Classifications • 2nd Compose Test Cases – Can be automated using TESTONA tool (formerly Classification Tree Editor ) Test Oracles and Test Script Generation in 2016-04-10 4 Combinatorial Testing

  5. Example Select a test object : decompose • Test object: Database Management System Test Oracles and Test Script Generation in 2016-04-10 5 5 Combinatorial Testing

  6. Example Input domain Select a test object : decompose Determine input data space Test Oracles and Test Script Generation in 2016-04-10 6 Combinatorial Testing TESTONA – Test Design using the Classification Tree Method • October 2015

  7. Example Input domain Privileges Operation Access Method Select a test object : decompose Determine input data space Identify relevant aspects (e.g. from specification) Test Oracles and Test Script Generation in 2016-04-10 7 Combinatorial Testing TESTONA – Test Design using the Classification Tree Method • October 2015

  8. Example Input domain Privileges Operation Access Method Classify the input data space into classes Test Oracles and Test Script Generation in 2016-04-10 8 Combinatorial Testing TESTONA – Test Design using the Classification Tree Method • October 2015

  9. Example Input domain Privileges Operation Access Method Classify the input data space into classes Combine classes into test cases 1 2 3 Test Oracles and Test Script Generation in 2016-04-10 9 Combinatorial Testing TESTONA – Test Design using the Classification Tree Method • October 2015

  10. Test Oracle • Howden (1978) non-trivial challenge of deciding whether a test case has passed or failed • Categorization by Barr, Harman, McMinn, Shahbaz, and Yoo (2015) – non-automated – implicit – derived – specified Test Oracles and Test Script Generation in 2016-04-10 10 Combinatorial Testing

  11. Non-automated Implicit Oracles Oracles • Indirect evaluation • Trivial case (e.g. no exception) • Mapping function • Mapping function f(t q ) = R q unknown R q = R 1 = R 2 = … = R n Derived Oracles Specified Oracles • A posteriori (e.g. • Based on (formal) Regression Test, Specification back-to-back Test) • Mapping function • Mapping function f(t q ) = R q known f(t q ) = R q not needed Test Oracles and Test Script Generation in 2016-04-10 11 Combinatorial Testing

  12. Non-automated Oracle Example • Manual assignment for each test case Test Oracles and Test Script Generation in 2016-04-10 12 Combinatorial Testing

  13. Implicit Oracle Example • Monitor system No exceptions at runtime, … Test Oracles and Test Script Generation in 2016-04-10 13 Combinatorial Testing

  14. Derived Oracle Example • Run once, record results, assign to tests Test Oracles and Test Script Generation in 2016-04-10 14 Combinatorial Testing

  15. Specified Oracle C 2 ↔ R 1 Example C 1 ʌ ( C 3 v (C 4 ʌ ¬C 10 ) ) ↔ R 2 Test Oracles and Test Script Generation in 2016-04-10 15 Combinatorial Testing

  16. Specified Oracle Example Using constraints can be problematic 1. Makes computation of output more difficult, solver must be used TESTONA has build in Solver 2. possible to write incomplete/inconsistent mappings (e.g. C 1 ↔ R 1 and C 1 ↔ R 2 ) 3. allows non-determinism Task of test designer Test Oracles and Test Script Generation in 2016-04-10 16 Combinatorial Testing

  17. Test Script Generation • Problem: How to execute test specification? Test Oracles and Test Script Generation in 2016-04-10 17 Combinatorial Testing

  18. import org.junit.Assert.*; Include this once at start public class Example { Test Script Generation @Test Include this per test case public void %TEST% throws Exception { Include these per mark in test case } Test Oracles and Test Script Generation in } 2016-04-10 18 Combinatorial Testing

  19. import org.junit.Assert.*; Include this once at start public class Example { Test Script Generation @Test Include this per test case public void %TEST% throws Exception { Include these per mark in test case } Test Oracles and Test Script Generation in } 2016-04-10 19 Combinatorial Testing

  20. Effort Considerations • Instead of implementing each test case • Implement each parameter • Less effort Formalization in the paper • Reusable To be evaluated large scale Test Oracles and Test Script Generation in 2016-04-10 20 Combinatorial Testing

  21. Related Work • Most work on CT focuses on the calculation of minimal size test suites, mostly pairwise. • Some CT approaches consider test oracles. • Reports on test implementation and test execution are limited. Test Oracles and Test Script Generation in 2016-04-10 21 Combinatorial Testing

  22. Related Work – Oracles Non-automated Implicit Oracles Oracles • AETG, ACTS • All approaches Derived Oracle Specified Oracles • ACTS • AETG, PICT, ACTS, ATGT, FoCuS “Oracle - free Testing“ IWCT‘15 Test Oracles and Test Script Generation in 2016-04-10 22 Combinatorial Testing

  23. Related Work Test Implementation • Integrated Approach also for – Category Partition Method (as part of specification language) – FoCuS (using post-pressing with templates) • External Solutions – AETG (use of perl script reported) – PICT – ACTS – … Test Oracles and Test Script Generation in 2016-04-10 23 Combinatorial Testing

  24. Future Work • Large scale evaluation • Effort for different test script generation approaches with focus on test suite maintenance – costs of adapting existing test suites, test scripts, post-processors when parameters are added, modified or removed • What about model import? – UML, Statecharts , … Test Oracles and Test Script Generation in 2016-04-10 24 Combinatorial Testing

  25. Conclusion • Post-processing is avoided in our approach • Test implementation allows for the direct execution of combinatorial test suites • Independent of different SUT types • Several kinds of oracles are supported Peter M. Kruse Berner & Mattner Systemtechnik GmbH Test Oracles and Test Script Generation in 2016-04-10 25 Combinatorial Testing

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