Program-operators to improve test data generation search

Authors:
Mohammad Alshraideh;Mohammad Qatawneh;Wesam AlMobaiden;Azzam Sleit
Affiliations:
The University of Jordan, Department of Computer Science, Amman, Jordan;Department of Computer Science, Amman, Jordan;Department of Computer Science, Amman, Jordan;Department of Computer Science, Amman, Jordan
Venue:
WSEAS Transactions on Computers
Year:
2010

Citing 16
Cited 0

The program dependence graph and its use in optimization

ACM Transactions on Programming Languages and Systems (TOPLAS)
Software testing techniques (2nd ed.)

Software testing techniques (2nd ed.)
The GENITOR algorithm and selection pressure: why rank-based allocation of reproductive trials is best

Proceedings of the third international conference on Genetic algorithms
Symbolic execution and testing

Information and Software Technology
Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Automated program flaw finding using simulated annealing

Proceedings of the 1998 ACM SIGSOFT international symposium on Software testing and analysis
Seeding the population: improved performance in a genetic algorithm for the rectilinear Steiner problem

SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
Symbolic execution and program testing

Communications of the ACM
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Generating Software Test Data by Evolution

IEEE Transactions on Software Engineering
A new approach to program testing

Proceedings of the international conference on Reliable software
Search-based software test data generation for string data using program-specific search operators: Research Articles

Software Testing, Verification & Reliability - UKTest 2005: The Third U.K. Workshop on Software Testing Research
Cost effective software test metrics

WSEAS Transactions on Computers
Using program data-state scarcity to guide automatic test data generation

Software Quality Control
Predicate expression cost functions to guide evolutionary search for test data

GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Software development and testing: a system dynamics simulation and modeling approach

SEPADS'10 Proceedings of the 9th WSEAS international conference on Software engineering, parallel and distributed systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

There has recently been a great deal of interest in search based test data generation, with many local and global search algorithms being proposed. In this paper, the program operations, in the form of the program-specific operations used to increase the performance in the generation of test data. The efficacy and performance of the proposed testing approach is assessed and validated using a variety of sample programs, and the empirical investigation is shown to give more than eightfold increase in performance.