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Reseach Article

A Systematic Mapping Study on UML Model based Test Case Generation and Optimization Techniques

by James Maina Mburu, John Gichuki Ndia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 13
Year of Publication: 2022
Authors: James Maina Mburu, John Gichuki Ndia
10.5120/ijca2022922116

James Maina Mburu, John Gichuki Ndia . A Systematic Mapping Study on UML Model based Test Case Generation and Optimization Techniques. International Journal of Computer Applications. 184, 13 ( May 2022), 26-33. DOI=10.5120/ijca2022922116

@article{ 10.5120/ijca2022922116,
author = { James Maina Mburu, John Gichuki Ndia },
title = { A Systematic Mapping Study on UML Model based Test Case Generation and Optimization Techniques },
journal = { International Journal of Computer Applications },
issue_date = { May 2022 },
volume = { 184 },
number = { 13 },
month = { May },
year = { 2022 },
issn = { 0975-8887 },
pages = { 26-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number13/32383-2022922116/ },
doi = { 10.5120/ijca2022922116 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:21:21.612325+05:30
%A James Maina Mburu
%A John Gichuki Ndia
%T A Systematic Mapping Study on UML Model based Test Case Generation and Optimization Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 13
%P 26-33
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Test case generation is a significant step in software testing as it ensures that, software produced is error free and is of high quality. On the other hand, optimization techniques ensure that ideal test cases are generated. In this paper, the researchers present an overview of state-of- the- art research on test case generation and optimization techniques. The study included papers from google scholar, IEEE Xplore digital library and springer that were published between 2010-2022. The results indicate that most of the studies focused on single UML models, and search techniques such as breadth first search and depth first search, while there exists very few studies on combinational UML models, and test case optimization techniques such as metaheuristic search algorithms. Further, case study remains the most popular approach for validation of test case generation and optimization techniques, but there are few studies focusing on experimental validation.

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Index Terms

Computer Science
Information Sciences

Keywords

Testing Test case generation optimization techniques UML models.