Volume 11 Number 5 (May 2016)
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JSW 2016 Vol.11(5): 464-480 ISSN: 1796-217X
doi: 10.17706/jsw.11.5.464-480

A Review of Class Based Test Case Generation Techniques

Syed Asad Ali Shah*, Raja Khaim Shahzad, Syed Shafique Ali Bukhari, Nasir Mehmood Minhas, Mamoona Humayun
University Institute of Information Technology, PMAS Arid Agriculture University, Rawalpindi, Pakistan.

Abstract—One of the important phases in software development is testing, due to advancement in software development in recent years, testing has also grabbed great attention and various testing techniques have been devised in order to test the software. Researchers are rapidly moving towards model based testing due to its advantages. UML class diagram has been used alone or with some hybrid approaches in order to achieve concentrated level of test case generation. However, before progression towards new approaches, there is a need to analyze and synthesize existing evidence based techniques in the area of software test case generation. In this paper, we have discussed various approaches that exercises class diagram to support their test case generation activities. Systematic Literature Review (SLR) was conducted to collect related papers to examine the relevant research. The outcome of this study shows analysis of class based test case generation techniques. In the end, we elaborated the usage and significance of class diagram in generating test cases with the help of evidences and propose thinkable direction and practices for further research.

Index Terms—Model based testing (MBT), unified modeling language (UML), systematic literature review (SLR), class diagram.

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Cite: Syed Asad Ali Shah*, Raja Khaim Shahzad, Syed Shafique Ali Bukhari, Nasir Mehmood Minhas, Mamoona Humayun, "A Review of Class Based Test Case Generation Techniques," Journal of Software vol. 11, no. 5, pp. 464-480, 2016.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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