A genetic approach for random testing of database systems

33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings

Volumn , Issue , 2007, Pages 1143-1151

  Bati, Hardik ^a   Giakoumakis, Leo ^a   Herbert, Steve ^a   Surna, Aleksandras ^a  

^a MICROSOFT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); ENGINES; QUERY LANGUAGES; QUERY PROCESSING; SOFTWARE TESTING; TESTING; WINDOWS OPERATING SYSTEM;

DEVELOPMENT CYCLE; GENETIC APPROACH; MICROSOFT SQL SERVER; PRODUCT RELEASE; QUERY EXECUTION; QUERY OPTIMIZATION; TEST CASE GENERATORS; TEST GENERATIONS;

DATABASE SYSTEMS;

EID: 85011043564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Binder V. R. Testing object-oriented systems: models, patterns, and tools, Addison-Wesley object oriented series, Addison-Wesley Longman, 2000
2. Chen T.Y., Kuo F.C. Is Adaptive Random Testing Really Better than Random Testing. In Proceedings of the First International Workshop on Random Testing (RT '06) (Jul 20, 2006, Portland, ME, USA), 64-69
3. Ciupa I., Leitner A., Oriol M., Meyer B. Object distance and its application to adaptive random testing of object-oriented programs. In Proceedings of the First International Workshop on Random Testing (RT '06) (Jul 20, 2006, Portland, ME, USA), 55-63
4. Ferguson R. and Korel B. The Chaining Approach for Software Test Generation. ACM Transactions on Software Engineering and Methodology, 5, 1 (Jan 1996), 63-86
5. Godefroid P. Compositional dynamic test generation, In Proceedings of the 34th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages (Nice, France), ACM Press, New York, NY, 2007, 47-54
6. Godefroid P., Klarlund N., Sen k. DART: Directed Automated Random Testing, In Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation (Chicago, IL, USA). ACM Press, New York, NY, 2005, 213-223
7. Graefe G. Query evaluation techniques for large databases, ACM Computing Surveys (CSUR), 25, 2, (June 1993), 73-169
8. Graefe G. The Cascades Framework for Query Optimization, IEEE Data Engineering Bulletin, 18, 3 (1995), 19-29
9. Graefe G. Volcano - An Extensible and Parallel Query Evaluation System, IEEE Trans. Knowl. Data Eng., 6, 1 (1994), 120-135
10. Hamlet D. When Only Random Testing will do. In Proceedings of the First International Workshop on Random Testing (RT '06) (Jul 20, 2006, Portland, ME, USA)
11. Microsoft Coproration, XML Showplans, SQL Server 2005 Books Online, http://msdn2.microsoft.com/enus/library/ms189298.aspx
12. Pacheco C, Lahiri S.K., Ernst M.D., and Ball T. Feedback-directed Random Test Generation. In ICSE '07: Proceedings of the 29th International Conference on Software Engineering, (Minneapolis, MN, USA), 2007
13. Slutz, D. Massive Stochastic Testing of SQL, In Proceedings of the 24th VLDB Conference, (New York USA 1998), 618-622
14. Stobie, K. Too Darned Big to Test. ACM Queue, 3, 1, (February 2005)
15. TPC Benchmark H. Decision Support http://www.tpc.org.
16. Waas F. and C. A. Galindo-Legaria, Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer. In Proceedings of the 2000 ACM SIGMOD international conference on Management of data (Dallas, Texas, USA). ACM Press, New York, NY, 2000, 499-509
17. Whittaker, J. Stohastic Software Testing. Annals of Software Engineering, 4, J. C. Baltzer AG, Science Publishers Red Bank, NJ, USA, 1997, 115-1