Cloud Services Testing: An Understanding

Mohammad, Atif Farid; Mcheick, Hamid

doi:10.1016/j.procs.2011.07.066

Cited by 17 publications

(6 citation statements)

References 22 publications

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“…(i) Since testing does not contain sensitive information, the security concerns are related to the privacy of resources and confidentiality of test results [81]. (ii) Before adopting Cloud for software testing, one should decide whether the Cloud is safe for their sensitive information [35]. (iii) An acceptable testing service essentially addresses concerns related to multitenancy as well as to the safety of uploaded material and confidentiality of test results [82].…”

Section: Summary and Discussionmentioning

confidence: 99%

“…Other related research, focusing on overviewing [32], surveying [25,33], and summarizing the existing work [34]. e survey paper [35] poses some questions to the CC research community, which involve suitable solutions to software testing. Fernandes and Gemmer [36] have defined the CC paradigm and its implications for IT organizations.…”

Section: Background and Motivationmentioning

confidence: 99%

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Fuzzy Multicriteria Decision-Making Approach for Measuring the Possibility of Cloud Adoption for Software Testing

Ali

Ullah²,

Abrar

et al. 2020

Scientific Programming

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To reduce costs and improve organizational efficiency, the adoption of innovative services such as Cloud services is the current trend in today’s highly competitive global business venture. The aim of the study is to guide the software development organization (SDO) for Cloud-based testing (CBT) adoption. To achieve the aim, this study first explores the determinants and predictors of Cloud adoption for software testing. Grounded on the collected data, this study designs a technology acceptance model using fuzzy multicriteria decision-making (FMCDM) approach. For the stated model development, this study identifies a list of predictors (main criteria) and factors (subcriteria) using systematic literature review (SLR). In the results of SLR, this study identifies seventy subcriteria also known as influential factors (IFs) from a sample of 136 papers. To provide a concise understanding of the facts, this study classifies the identified factors into ten predictors. To verify the SLR results and to rank the factors and predictors, an empirical survey was conducted with ninety-five experts from twenty different countries. The application value in the industrial field and academic achievement of the present study is the development of a general framework incorporating fuzzy set theory for improving MCDM models. The model can be applied to predict organizational Cloud adoption possibility taking various IFs and predictors as assessment criteria. The developed model can be divided into two main parts, ranking and rating. To measure the success or failure contribution of the individual IFs towards successful CBT adoption, the ranking part of the model will be used, while for a complete organizational assessment in order to identify the weak area for possible improvements, the assessment part of the model will be used. Collectively, it can be used as a decision support system to gauge SDO readiness towards successful CBT.

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Section: Summary and Discussionmentioning

confidence: 99%

Section: Background and Motivationmentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making Approach for Measuring the Possibility of Cloud Adoption for Software Testing

Ali

Ullah²,

Abrar

et al. 2020

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…En la actualidad, no existe una metodología definida o un estándar internacional aceptado para que las organizaciones adopten el modelo de computación en la nube para la operación de sus infraestructuras de TI [5]. Sin embargo, algunos autores plantean recomendaciones para que las empresas lleguen inicialmente al modelo de nube privada o híbrida y, potencialmente, pasen luego a la nube pública [6].…”

Section: Pág 15unclassified

Diseño de un modelo de migración a cloud computing para entidades públicas de salud

Rodríguez

Almeida

Palacios

2017

Investigacion e Innovación en Ingenierias

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Objetivo: diseñar un modelo Cloud Computing que permitirá a las empresas manejar la información, reducir costos, maximizar servicios y utilizar tecnología de punta. Metodología: construir un modelo que genere rompimiento en el paradigma mental de los directores de las áreas de TI mediante una investigación descriptiva, realizando una observación al personal que trabaja en TI. Resultados: se diseñó un modelo de migración basado en estrategias de diferentes autores y en la experiencia de un grupo de especialistas de un Data Center que podría servir como guía para futuras implementaciones en los hospitales de II nivel del departamento del Valle del Cauca. Conclusiones: el modelo permitirá a los hospitales realizar la migración de su área de TI a un Data Center, alineándose con las políticas gubernamentales y ubicarse a la vanguardia en tecnología y estar a la par de multinacionales que poseen grandes recursos económicos.

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“…In the paper [42] is expressed a survey to explore cloud services testing methods. The paper [43] is expressed a review to identify SOA testing researches with dynamic binding, that paper performed to search manually and automatically in journals, conferences and etc.…”

Section: Related Workmentioning

confidence: 99%

Automatic Test Case Generation for Orchestration Languages at Service Oriented Architecture

Shamsoddin-motlagh¹

2013

IJCA

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Service oriented architecture (SOA) is one of the latest software architectures. This architecture is created in direction of the business requirements and for removing the gap between softwares and businesses. The software testing is rising cost of activities in development software. SOA has different specifications and features proportion of the other software architectures. According to these features of the system, we cannot apply all approaches and methodologies of testing in the typical software systems for testing in the SOA systems, and there are need to specific procedures for testing the service oriented systems and/or change in the testing approaches.This document presents an approach for test cases generation automatically at the SOA system. First, this approach creates a control flow graph of BPEL file in the system and services related of the main service, WSIG file is used to create subgraphs of the related services. Then, the test cases create randomly of the primary test for graph in the generated system. Final, it tries to create test cases require to cover of the system graph through randomly generation and the genetic algorithms. This algorithm will compare with standard genetic algorithm and we will show the algorithm has performance better than the other algorithm.

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Cloud Services Testing: An Understanding

Cited by 17 publications

References 22 publications

Fuzzy Multicriteria Decision-Making Approach for Measuring the Possibility of Cloud Adoption for Software Testing

Fuzzy Multicriteria Decision-Making Approach for Measuring the Possibility of Cloud Adoption for Software Testing

Diseño de un modelo de migración a cloud computing para entidades públicas de salud

Automatic Test Case Generation for Orchestration Languages at Service Oriented Architecture

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