An Approach for Service Composition and Testing for Cloud Computing

Tsai, Wei‐Tek; Zhong, Peide; Balasooriya, Janaka; Chen, Yinong; Bai, Xiaoying; Elston, Jay

doi:10.1109/isads.2011.90

Cited by 26 publications

(10 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We will specifically work on issues that facilitate cloud as a platform for acceptance and unit testing, and we will also focus on optimizing existing automated test tools for more proliferated use over the cloud. & Deployment [25] [25], [9], [26], [28] [54], [25], [13], [17] [27] [25], [26], [29], [55], [32], [33], [34], [56] [17] X Migration to Cloud [39] [39] X [38], [41], [6], [40] [ …”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Software Testing in the Cloud

Arı

et al. 2012

2012 IEEE Sixth International Conference on Software Security and Reliability Companion

View full text Add to dashboard Cite

Abstract-Cloud computing has emerged as a new computing paradigm that impacts several different research fields, including software testing. Testing cloud applications has its own peculiarities that demand for novel testing methods and tools. On the other hand, cloud computing also facilitates and provides opportunities for the development of more effective and scalable software testing techniques. This paper reports on a systematic survey of published results attained by the synergy of these two research fields. We provide an overview regarding main contributions, trends, gaps, opportunities, challenges and possible research directions. We provide a review of software testing over the cloud literature and categorize the body of work in the field.

show abstract

Section: Discussionmentioning

confidence: 99%

“…& Deployment X [25], [26], [27] [25], [28], [9], [13] [26], [25] [27], [28], [13], [29], [30], [31], [32] [26], [29], [33], [34] [29]…”

Section: Testing On the Cloudunclassified

A Survey of Software Testing in the Cloud

Arı

et al. 2012

2012 IEEE Sixth International Conference on Software Security and Reliability Companion

View full text Add to dashboard Cite

show abstract

“…This paper inherits those approaches proposed by Tsai in [111,101,108] to build application templates. When tenants or sub-tenants build application templates, the key words of those templates can be indexed by both elastic search [35] and solr [81].…”

Section: Rapid Application Building Processmentioning

confidence: 97%

Multi-tenancy and Sub-tenancy Architecture in Software-as-a-Service (SaaS)

Tsai

Zhong

2014

2014 IEEE 8th International Symposium on Service Oriented System Engineering

Self Cite

View full text Add to dashboard Cite

Multi-tenancy architecture (MTA) is often used in Software-as-a-Service (SaaS) and the central idea is that multiple tenant applications can be developed using components stored in the SaaS infrastructure. Recently, MTA has been extended where a tenant application can have its own sub-tenants as the tenant application acts like a SaaS infrastructure. In other words, MTA is extended to STA (Sub-Tenancy Architecture ). In STA, each tenant application not only need to develop its own functionalities, but also need to prepare an infrastructure to allow its sub-tenants to develop customized applications. This dissertation formulates eight models for STA, and proposes a Variant Point based customization model to help tenants and subtenants customize tenant and sub-tenant applications. In addition, this dissertation introduces Crowd-sourcing to become the core of STA component development life cycle. To discover fit tenant developers or components to help building and composing new components, dynamic and static ranking models are proposed. Further, rank computation architecture is presented to deal with the case when the number of tenants and components becomes huge. At last, an experiment is performed to prove rank models and the rank computation architecture work as design. Finally, I dedicate this dissertation to my many friends, Song Xiang, Feng Guo,

show abstract

“…An approach to manage, compose and test services on the cloud is presented in [87]. The study provides limited data on the results.…”

Section: ) Other Ways Of Testingmentioning

confidence: 99%

A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods

Ahmad

Brereton

András

2017

2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)

View full text Add to dashboard Cite

Abstract-Context: Software has become more complicated, dynamic, and asynchronous than ever, making testing more challenging. With the increasing interest in the development of cloud computing, and increasing demand for cloud-based services, it has become essential to systematically review the research in the area of software testing in the context of cloud environments. Objective: The purpose of this systematic mapping study is to provide an overview of the empirical research in the area of software cloud-based testing, in order to build a classification scheme. We investigate functional and non-functional testing methods, the application of these methods, and the purpose of testing using these methods. Method: We searched for electronically available papers in order to find relevant literature and to extract and analyze data about the methods used. Result: We identified 69 primary studies reported in 75 research papers published in academic journals, conferences, and edited books. Conclusion: We found that only a minority of the studies combine rigorous statistical analysis with quantitative results. The majority of the considered studies present early results, using a single experiment to evaluate their proposed solution.

show abstract

An Approach for Service Composition and Testing for Cloud Computing

Cited by 26 publications

References 14 publications

A Survey of Software Testing in the Cloud

A Survey of Software Testing in the Cloud

Multi-tenancy and Sub-tenancy Architecture in Software-as-a-Service (SaaS)

A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods

Contact Info

Product

Resources

About