The PDCA-based software testing improvement framework

Xu-Xiang, Li; Zhang, Wenning

doi:10.1109/icacia.2010.5709948

Cited by 6 publications

(13 citation statements)

References 2 publications

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“…Other STPI approaches are applicable in a different context such as PDCA-based software testing improvement framework (Xu-Xiang and Wen-Ning, 2010) is applicable when test processes are carried out as services by third party testing centers. Some STPI approaches use a bottom-up approach in the sense that they rely on identification of testing issues in the organization and then propose solutions.…”

Section: Rqcs1mentioning

confidence: 99%

Software test process improvement approaches: A systematic literature review and an industrial case study

Afzal

Alone

Glocksien

et al. 2016

Journal of Systems and Software

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Section: Rqcs1mentioning

confidence: 99%

Software test process improvement approaches: A systematic literature review and an industrial case study

Afzal

Alone

Glocksien

et al. 2016

Journal of Systems and Software

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“…The case study of Xu-Xiang and Zhang [78] applies the PDCA-based testing improvement framework [TM12] based on the analysis of agile processes, benchmarking process and knowledge management. These three areas are parts of the model concept, which address testing application issues and improve the testing service quality.…”

Section: Evidence-based Software Engineeringmentioning

confidence: 99%

“…Execution of the benchmarking process improves cooperation, trust and communication, which leads to the creation of an organizational knowledge-oriented culture. Knowledge management includes all the activities that ensure individuals obtain the needed knowledge and subsequently the organization gains competitive advantages [78].…”

Section: Evidence-based Software Engineeringmentioning

confidence: 99%

Software Testing Process Models Benefits & Drawbacks: a Systematic Literature Review

Hrabovská,

Rossi,

Pitner

2019

Preprint

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Context: Software testing plays an essential role in product quality improvement. For this reason, several software testing models have been developed to support organizations. However, adoption of testing process models inside organizations is still sporadic, with a need for more evidence about reported experiences. Aim: Our goal is to identify results gathered from the application of software testing models in organizational contexts. We focus on characteristics such as the context of use, practices applied in different testing process phases, and reported benefits & drawbacks. Method: We performed a Systematic Literature Review (SLR) focused on studies about the application of software testing processes, complemented by results from previous reviews. Results: From 35 primary studies and survey-based articles, we collected 17 testing models. Although most of the existing models are described as applicable to general contexts, the evidence obtained from the studies shows that some models are not suitable for all enterprise sizes, and inadequate for specific domains. Conclusion:The SLR evidence can serve to compare different software testing models for applicability inside organizations. Both benefits and drawbacks, as reported in the surveyed cases, allow getting a better view of the strengths and weaknesses of each model.

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“…Nogeste y Walker presentan un sistema de gestión de conocimiento centrado en las pruebas de regresión describiendo la forma para obtener el conocimiento tácito y posterior reuso en [13]. Xu-Xiang y Zhang proponen una estrategia que integra la GC y la mejora de procesos desde un enfoque PHVA (plan-hacerverificar-actuar) focalizándose en el conocimiento explícito en [14]. Abdullah y colaboradores definen un modelo arquitectónico para sistema de GC basada en la estrategia de las comunidades de práctica.…”

Section: Revisión De Literaturaunclassified

“…De acuerdo con [12] se centra en la conducta y la estrategia corporativa, sin analizar los flujos de trabajo previstos en los equipos de pruebas de software. Según [14] plantea un modelo que integra la estrategia GC y mejora de procesos de forma paralela al desarrollo de pruebas, sin describir cómo se implementa en los procesos que integran las pruebas de software.…”

Section: Revisión De Literaturaunclassified

Aplicación de la Gestión de Conocimiento al proceso de pruebas de software

2017

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ResumenLa gestión del conocimiento tiene como propósito aprovechar el conocimiento para generar valor a nivel organizacional, soportado en procesos, herramientas y actividades para lograr el propósito. En este contexto, las pruebas son un proceso relevante y contribuye en gran medida al aseguramiento de la calidad del producto. A nivel académico y empresarial, existen varias iniciativas para articular la gestión del conocimiento a las pruebas de software, teniendo como problemática común, la falta de reutilización del conocimiento que se deriva en múltiples factores, como: las barreras para compartir el conocimiento, la alta rotación de personal, modelos de gestión de conocimiento con enfoque corporativo y compleja implementación entre otros. En consecuencia, se propone un modelo de implementación para gestionar el conocimiento en los proyectos de pruebas de software, desarrollado por seis procesos: definición de objetivos, identificación, incorporación, preservación, distribución y utilización, basado en artefactos con el propósito de mejorar las pruebas de software. Abstract The purpose of knowledge management is harnessing knowledge to generate value at the organizational level, supported in processes, tools, and activities to achieve the purpose. In this context, testing is a relevant process which contributes greatly to the assurance of product quality. To academic and business levels, there are several initiatives to link knowledge management to software testing, having as a common issue the lack of reuse of knowledge that results in multiple factors e.g. knowledge sharing barriers, high rotation of personnel, knowledge management models with corporate focus and complex implementation, among others. Therefore, an implementation model is proposed to manage knowledge in software testing projects developed by six processes: Definition of objectives, Identification, incorporation, preservation, distribution, and use based on artifacts for the purpose of improving the software tests. Palabras ClaveGestión del conocimiento; pruebas de software; estrategia de conocimiento; activos de conocimiento.

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The PDCA-based software testing improvement framework

Cited by 6 publications

References 2 publications

Software test process improvement approaches: A systematic literature review and an industrial case study

Software test process improvement approaches: A systematic literature review and an industrial case study

Software Testing Process Models Benefits & Drawbacks: a Systematic Literature Review

Aplicación de la Gestión de Conocimiento al proceso de pruebas de software

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