Pairwise testing tools based on hill climbing algorithm (PTCA)

Lim, Seng Kee (2014) Pairwise testing tools based on hill climbing algorithm (PTCA). Faculty of Computer System and Software Engineering, Universiti Malaysia Pahang.

[img]
Preview
Pdf
Pairwise testing tools based on hill climbing algorithm (PTCA).pdf

Download (3MB) | Preview

Abstract

Failure in software can cause serious damage and because of this it is essential to test the software thoroughly. Software testing is the activity to find the defects in the components or systems. The main problem in software testing is to test the system exhaustively as it is impossible to do so. To reduce the test cases generated during testing process, combinatorial algorithms which consisting Hill Climbing algorithm and T Way Combination algorithm as described in twayGenerator (Kamal Zuhairi Zamli, 2007) have been studied and reviewed. The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. Assumptions have been made for the program. Several experiments were conducted included demonstrating the correctness of the algorithms, demonstrate PTCA successful in reducing test suite size, and benchmarking PTCA against existing strategies in order to prove PTCA achieved its objectives. Based on the experimental results, PTCA has successful in reducing the test size.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Computer Science (Software Engineering) With Honours -- Universiti Malaysia Pahang - 2014, SV: PROFESSOR KAMAL ZUHAIRI BIN ZAMLI, NO. CD: 12440
Uncontrolled Keywords: Pairwise testing tools; Hill Climbing Algorithm (PTCA)
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Ms. 'Arifah Nadiah Che Zainol Ariff
Date Deposited: 17 Mar 2016 02:04
Last Modified: 25 Oct 2023 03:45
URI: http://umpir.ump.edu.my/id/eprint/12045
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item