Generating software test data by evolution

IEEE Transactions on Software Engineering

Volumn 27, Issue 12, 2001, Pages 1085-1110

  Michael, Christoph C ^a,b   McGraw, Gary ^a,b   Schatz, Michael A ^b  

^a IEEE   (United States)

^b Cigital   (United States)

Author keywords

Automatic test case generation; Code coverage; Combinatorial optimization; Genetic algorithms; Software testing

Indexed keywords

SOFTWARE TESTING;

COMPUTATIONAL COMPLEXITY; COMPUTER PROGRAM LISTINGS; DATA REDUCTION; GENETIC ALGORITHMS; OPTIMIZATION;

COMPUTER SOFTWARE;

EID: 0035678269     PISSN: 00985589     EISSN: None     Source Type: Journal    
DOI: 10.1109/32.988709     Document Type: Article

References (36)

1. Automatic generation of floating point test data
2. Automated software test data generation
3. Choosing a testing method to deliver reliability
4. The chaning approach for software test data generation
5. Adtest: A test data generation suite for Ada software systems
6. Optimization by simulated annealing
7. Tabu search part I, II
8. Achieving software quality with testing coverage measures
9. Applicability of modified condition/ decision coverage to software testing
10. Partition testing does not inspire confidence
11. Analyzing partition testing strategies
12. Axiomatizing software test adequacy
13. A formal analysis of the fault-detecting ability of testing methods
14. Automated test data generation for programs with procedures
15. A system to generate test data symbolically and execute programs
16. On the automated generation of program test data
17. An integrated automatic test data generation system
18. A rule-based software test data generator
19. A performance evaluation of heuristics-based test case generation methods for software branch coverage
20. The way forward for unifying dynamic test-case generation: The optimisation-based approach
21. Automated program flaw finding using simulated annealing
22. An automated framework for structural test-data generation
23. Genetic algorithms for dynamic test data generation
24. Opportunism and diversity in automated software test data generation
25. Test and evaluation by genetic algorithms
26. Tabu search applied to the quadratic assignment problem
27. On the usage of differential evolution for function Optimization
28. Random number generators: Good ones are hard to find
29. Experimental results from an automatic test case generator
30. Operational profiles in software engineering