Firefly optimization technique based test scenario generation and prioritization



Document title: Firefly optimization technique based test scenario generation and prioritization
Journal: Journal of applied research and technology
Database: PERIÓDICA
System number: 000427616
ISSN: 1665-6423
Authors: 1
2
Institutions: 1Rajasthan Technical University, Department of Computer Science & Engineering, Rajasthan. India
2Indian Institute Of Technology, Department of Computer Science & Engineering, Rourkela, Orissa. India
Year:
Season: Dic
Volumen: 16
Number: 6
Country: México
Language: Inglés
Document type: Artículo
Approach: Aplicado, descriptivo
English abstract Model-based testing shows a significant role-play in the area of software testing. This paper presents a new automatic test scenarios generation technique using UML state machine diagram having composite states. The intention of this research is to generate test scenarios for concurrent and composite states in state machines using the proposed algorithm SMToTSG (State Machine To Test Scenarios Generation). We have prioritized the test scenarios using Firefly optimization algorithm. We have used state-based coverage criteria such as state, transition, transition pair coverage to evaluate the efficiency of the proposed algorithm. The proposed approach is useful for feasible test scenario generation. Generating exhaustive test scenarios for all concurrent interdependent sequences is very difficult. In this paper, we generate the important test scenarios in the presence of concurrency in composite models. After prioritization, we apply Average Percentage Fault Detection (APFD) metric to calculate the efficiency of the prioritized test scenarios
Disciplines: Ciencias de la computación
Keyword: Software,
Diagrama de máquina de estado,
Escenarios de prueba,
Algoritmos,
Lenguaje de modelación,
Pruebas funcionales
Keyword: Software,
State Machine Diagram,
Test Scenarios,
Algorithms,
Modeling language,
Functional tests
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