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Research Article Open access CC BY 4.0

Generation of Test Cases from UML Sequence Diagram Based on Extenics Theory

Wasiur Rhmann, Vipin Saxena

Journal of Advances in Mathematics and Computer Science · pp. 1–13 · Published 15 Apr 2016

10.9734/BJMCS/2016/25374

Abstract

In the present work, extenics approach is used for modeling a problem of software testing. The approach is useful for generation of the test cases through the sequence diagram designed by the use of Unified Modeling Language. Authors created formalized sequence diagram by use of n-dimensional matter element property which is converted into message flow graph. Parsed data is generated through Extended Markup Language (XML) from the sequence diagram and converted the dual of message flow graph. A traversal algorithm is designed and implemented on the dual of message flow graph for generation of valid test cases. Further test cases are minimized which satisfies path coverage criteria. The entire work is implemented on object oriented Java programming language through a case study of departure activity of aircraft.

Software testing test case Extenics theory unified modeling language sequence diagram XML java

References (6)

  1. 1 The Unified Modeling Language User Guide
  2. 2 Unified Modeling Language User Guide, The (2nd Edition) (Addison-Wesley Object Technology Series)
  3. 3 Automatic test case generation from UML communication diagrams [DOI]
  4. 4 Automatic Test Data Synthesis using UML Sequence Diagrams. [DOI]
  5. 5 Automatic Test Case Generation Using Sequence Diagram [DOI]
  6. 6 Slicing-based test case generation using UML 2.0 sequence diagram [DOI]

Cited by 8

Demand Based Test Case Generation for Object Oriented System

Rajvir Singh, Rajesh Bhatia, Anita Singhrova · IET Software · 2019

Model-based Test-Driven Cyber-Physical System Design

Yujian Fu, Wichien Choosilp, Zhijiang Dong · SoutheastCon 2018 · 2018

A systematic mapping of test case generation techniques using UML interaction diagrams

Nasir Mehmood Minhas, Sohaib Masood, Kai Petersen · Journal of Software: Evolution and Process · 2019

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