Generating and evaluating effectiveness of test sequences using state machine

Vikas Panthi () and Durga Prasad Mohapatra ()
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Vikas Panthi: National Institute of Technology
Durga Prasad Mohapatra: National Institute of Technology

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 4, 242-252

Abstract: Abstract The aim of this paper is to generate test sequences for object-oriented software with composite states using state machines. This experimental work in software testing focuses on generating test sequences using the proposed algorithm called SMTSG (State Machine to Test Sequence Generation). This work also describes the effectiveness of test sequences by using mutation analysis. Our approach considers nine types of state faults for checking the efficiency of the generated test sequences. The effectiveness of the prioritized test sequences is shown using Average Percentage Fault Detection (APFD) metric. The experimental results show that the test sequences generated using our proposed approach are more efficient than the existing approaches.

Keywords: Test sequences; Average Percentage Fault Detection (APFD) Metric; State Machine Diagram (SMD) (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-016-0419-1

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