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