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- Title
A FRAMEWORK FOR TEST DATA GENERATORS ANALYSIS.
- Authors
POCATILU, Paul
- Abstract
Test data generation is an important process for software testing and code analysis. The efficiency of a test data generator is crucial for very complex projects in terms of speed, effort and duration. There are different types of input data that a generator could provide and different ways to implement these automated generators for test data. In this paper is proposed a system for evaluation of test data generators. The proposed system is used to compare different implementations of test data generators like random or based on genetic algorithms.
- Subjects
GENETIC algorithms; COMPUTER software testing; AUTOMATIC control systems; COMBINATORIAL optimization; DATA analysis
- Publication
Economic Computation & Economic Cybernetics Studies & Research, 2013, Vol 47, Issue 3, p185
- ISSN
0424-267X
- Publication type
Academic Journal