dor_id: 4110191

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351.#.#.b: Journal of Applied Research and Technology

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/745/708

100.1.#.a: panthi, Vikas; Mohapatra, Durga Prasad

524.#.#.a: panthi, Vikas, et al. (2018). Firefly optimization technique based test scenario generation and prioritization. Journal of Applied Research and Technology; Vol. 16 Núm. 6. Recuperado de https://repositorio.unam.mx/contenidos/4110191

245.1.0.a: Firefly optimization technique based test scenario generation and prioritization

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2018

264.#.1.c: 2019-06-29

653.#.#.a: State Machine Diagram; Test Scenarios Generation; Firefly Optimization Algorithm; Modeling Language; Software Functional Testing

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

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041.#.7.h: eng

520.3.#.a: 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.

773.1.#.t: Journal of Applied Research and Technology; Vol. 16 Núm. 6

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

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doi: https://doi.org/10.22201/icat.16656423.2018.16.6.745

harvesting_date: 2023-11-08 13:10:00.0

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Artículo

Firefly optimization technique based test scenario generation and prioritization

panthi, Vikas; Mohapatra, Durga Prasad

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

panthi, Vikas, et al. (2018). Firefly optimization technique based test scenario generation and prioritization. Journal of Applied Research and Technology; Vol. 16 Núm. 6. Recuperado de https://repositorio.unam.mx/contenidos/4110191

Descripción del recurso

Autor(es)
panthi, Vikas; Mohapatra, Durga Prasad
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Firefly optimization technique based test scenario generation and prioritization
Fecha
2019-06-29
Resumen
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.
Tema
State Machine Diagram; Test Scenarios Generation; Firefly Optimization Algorithm; Modeling Language; Software Functional Testing
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

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