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Annotated buzzwords and key references for software testing in the cloud
- Source :
- ICCCA 2017-International Conference on Computing, Communication and Automation, pp. 893–900, Greater Noida, India, 5-6 May 2017, info:cnr-pdr/source/autori:Bertolino A.; Nautiyal L.; Preeti/congresso_nome:ICCCA 2017-International Conference on Computing, Communication and Automation/congresso_luogo:Greater Noida, India/congresso_data:5-6 May 2017/anno:2017/pagina_da:893/pagina_a:900/intervallo_pagine:893–900
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- In contemporary IT and Internet society, Cloud computing brings a paradigm shift not only for successfully evolving large distributed software applications but also for delivering a number of innovative services and applications. Cloud computing is an umbrella enveloping several models of service, like SaaS, IaaS, PaaS, TaaS. In particular, software testing in/on/over cloud is the focus of this paper. We see software testing in the Cloud and TaaS as a novel domain-specific approach to software testing. However, the field is still immature and there does not yet exist a clear understanding of its concepts and constituent technologies. In this paper we provide an introductory overview of software testing in the cloud, based also on a systematic search of literature, along with its buzzwords and tools.
- Subjects :
- Service (systems architecture)
business.industry
Computer science
Software as a service
IaaS
020207 software engineering
Cloud computing
02 engineering and technology
Cloud Computing
Data science
Software testing
Field (computer science)
Cloud testing buzzwords
SaaS
TaaS
Cloud testing tools
Paradigm shift
Business intelligence
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
020201 artificial intelligence & image processing
The Internet
PaaS
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 International Conference on Computing, Communication and Automation (ICCCA)
- Accession number :
- edsair.doi.dedup.....0fc8eacd8f5bacfac4871ba96919b799
- Full Text :
- https://doi.org/10.1109/ccaa.2017.8229933