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Risk based Test Case Prioritization using UML State Machine Diagram

Gufran Ahmad Ansari, Wasiur Rhmann, Vipin Saxena. Published in Information Sciences

Risk based Test Case Prioritization using UML State Machine Diagram
International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 11 Number 7
Authors:Gufran Ahmad Ansari, Wasiur Rhmann, Vipin Saxena
10.5120/ijais2016451624
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  1. Gufran Ahmad Ansari, Wasiur Rhmann and Vipin Saxena. Risk based Test Case Prioritization using UML State Machine Diagram. International Journal of Applied Information Systems 11(7):15-21, December 2016. URL, DOI BibTeX

    @article{10.5120/ijais2016451624,
	author = "Gufran Ahmad Ansari and Wasiur Rhmann and Vipin Saxena",
	title = "Risk based Test Case Prioritization using UML State Machine Diagram",
	journal = "International Journal of Applied Information Systems",
	issue_date = "December 2016",
	volume = 11,
	number = 7,
	month = "Dec",
	year = 2016,
	issn = "2249-0868",
	pages = "15-21",
	numpages = 7,
	url = "http://www.ijais.org/archives/volume11/number7/950-2016451624",
	doi = "10.5120/ijais2016451624",
	publisher = "Foundation of Computer Science (FCS), NY, USA",
	address = "New York, USA"
}

Abstract

Time and budget constraints are two main factors which affect the quality of software products. Testing is the last activity that performed in the software development life cycle which suffers more. Test cases are designed to find the bugs in the software. Prioritization of test cases is used to execute test cases earlier which are of high probability of finding bugs. Testing with all possible test cases is not possible even for trivial software. Testing of safety critical systems require more effort to identify the critical components. In the present work, authors proposed, a novel technique of test cases prioritization from UML state diagram by taking account risk. State machine diagram is transformed into WEFSM (Weighted Extended Finite State Machine) and a case study of ATM system is used to evaluate the proposed approach. A new metric based on risk called APRC (Average Percentage of Risk Covered) is proposed and used to demonstrate the effectiveness of proposed approach.

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Keywords

Software Testing, Test Cases, State Diagram, Risk Exposure, UML