A Systematic Review on Cloud Testing

Author:

Bertolino Antonia1,Angelis Guglielmo De2ORCID,Gallego Micael3,García Boni3,Gortázar Francisco3,Lonetti Francesca1,Marchetti Eda1

Affiliation:

1. CNR-ISTI, Pisa, Italy

2. CNR-IASI, Roma, Italy

3. Universidad Rey Juan Carlos, Madrid, Spain

Abstract

A systematic literature review is presented that surveyed the topic of cloud testing over the period 2012--2017. Cloud testing can refer either to testing cloud-based systems (testing of the cloud) or to leveraging the cloud for testing purposes (testing in the cloud): both approaches (and their combination into testing of the cloud in the cloud) have drawn research interest. An extensive paper search was conducted by both automated query of popular digital libraries and snowballing, which resulted in the final selection of 147 primary studies. Along the survey, a framework has been incrementally derived that classifies cloud testing research among six main areas and their topics. The article includes a detailed analysis of the selected primary studies to identify trends and gaps, as well as an extensive report of the state-of-the-art as it emerges by answering the identified Research Questions. We find that cloud testing is an active research field, although not all topics have received enough attention and conclude by presenting the most relevant open research challenges for each area of the classification framework.

Funder

Spanish Government under project LERNIM

Regional Government of Madrid (CM) under project Cloud4BigData

Italian MIUR PRIN 2015 Project GAUSS

FSE 8 FEDER

European Project H2020

Ministry of Economy and Competitiveness FEDER 8 AEI

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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