Open Access. Powered by Scholars. Published by Universities.®

Computer Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

University of Texas at El Paso

Genetic algorithms

Publication Year

Articles 1 - 4 of 4

Full-Text Articles in Computer Engineering

Pwisegen: Generating Test Cases For Pairwise Testing Using Genetic Algorithms, Pedro Flores, Yoonsik Cheon Jan 2011

A Fitness Function To Find Feasible Sequences Of Method Calls For Evolutionary Testing Of Object-Oriented Programs, Myoung Yee Kim, Yoonsik Cheon Nov 2007

A Fitness Function To Find Feasible Sequences Of Method Calls For Evolutionary Testing Of Object-Oriented Programs, Myoung Yee Kim, Yoonsik Cheon

Departmental Technical Reports (CS)

In evolutionary testing of an object-oriented program, the search objective is to find a sequence of method calls that can successfully produce a test object of an interesting state. This is challenging because not all call sequences are feasible; each call of a sequence has to meet the assumption of the called method. The effectiveness of an evolutionary testing thus depends in part on the quality of the so-called fitness function that determines the degree of the fitness of a candidate solution. In this paper, we propose a new fitness function based on assertions such as method preconditions to find ...


A Fitness Function For Modular Evolutionary Testing Of Object-Oriented Programs, Yoonsik Cheon, Kim Myoung Oct 2005

A Fitness Function For Modular Evolutionary Testing Of Object-Oriented Programs, Yoonsik Cheon, Kim Myoung

Departmental Technical Reports (CS)

We show that encapsulation of states in object-oriented programs hinders the search for test data using evolutionary testing. In a well-designed object-oriented program the encapsulated or hidden state is accessible only through exported or public methods. As client code is oblivious to the internal state of a server object, no guidance is available to test the client code using evolutionary testing. In particular, it is difficult to determine the fitness or goodness of test data, as it may depend on the hidden internal state. However, evolutionary testing is a promising new approach whose effectiveness has been shown by several researchers ...


A Complete Automation Of Unit Testing For Java Programs, Yoonsik Cheon, Myoung Yee Kim, Ashaveena Perumandla Feb 2005

A Complete Automation Of Unit Testing For Java Programs, Yoonsik Cheon, Myoung Yee Kim, Ashaveena Perumandla

Departmental Technical Reports (CS)

Program testing is expensive and labor-intensive, often consuming more than half of the total development costs, and yet it is frequently not done well and the results are not always satisfactory. However, testing is the primary method to ensure that programs comply with requirements. We describe our on-going project that attempts to completely automate unit testing of object-oriented programs. Our project investigates the use of an evolutionary approach, called genetic algorithms, for the test data generation and the use of program specifications, written in JML, for the test result determination. A proof-of-concept tool has been implemented and shows that a ...