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A Novel Approach for Scenario-Based Test Case Generation

Authors: Baikuntha Narayan Biswal; Pragyan Nanda; Durga Prasad Mohapatra;

A Novel Approach for Scenario-Based Test Case Generation

Abstract

Testing of software is a time-consuming activity which requires a great deal of planning and resources. Model-based testing is gaining importance as a research issue. In scenario-based testing, test scenarios are used for generating test cases, test drivers etc. UML is widely used to describe analysis and design specifications of software development. UML models are important source of information for test case design. UML activity diagrams describe the realization of the operation in design phase and also support description of parallel activities and synchronization aspects involved in different activities perfectly. In this paper we generate test scenarios from activity diagrams, which achieve test adequacy criteria perfectly. Finally we generate test cases by analyzing the respective sequence and class diagrams of each scenario, which achieves maximum path coverage criteria. Also in our approach, the cost of test model creation is reduced as design is reused.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
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