Bertolino A., Calabrò A., Marchetti E., Cervantes Sala A., Tunon De Hita G., Gheorghe Pop I. D., Gowtham V.
automated cloud testing technology application domains program testing public domain software Industrial demonstrators test automation cloud testing Cloud testing automatic testing demonstrator 5G networking distributed systems e-commerce cloud computing electronic commerce ElasTest response ElasTest solution end-to-end testing cloud testing automation Computer Graphics and Computer-Aided Design Internet of Things testing purposes scarce factual evidence open source platform home automation European Project ElasTest Test automation real-world industrial contexts industrial demonstrators Cloud WebRTC
While great emphasis is given in the current literature about the potential of leveraging the cloud for testing purposes, the authors have scarce factual evidence from real-world industrial contexts about the motivations, drawbacks and benefits related to the adoption of automated cloud testing technology. In this study, the authors present an empirical study undertaken within the ongoing European Project ElasTest, which has developed an open source platform for end-to-end testing of large distributed systems. This study aims at validating the ElasTest solution, and consists of the assessment of four demonstrators belonging to different application domains, namely e-commerce, 5G networking, WebRTC and Internet of Things. For each demonstrator, they collected differing requirements, and achieved varying results, both positive and negative, showing that cloud testing needs careful assessment before adoption.
Source: IET software (Print) 14 (2020): 553–562. doi:10.1049/iet-sen.2019.0140
Publisher: IET,, Stevenage , Regno Unito
@article{oai:it.cnr:prodotti:435439, title = {Cloud testing automation: industrial needs and ElasTest response}, author = {Bertolino A. and Calabrò A. and Marchetti E. and Cervantes Sala A. and Tunon De Hita G. and Gheorghe Pop I. D. and Gowtham V.}, publisher = {IET,, Stevenage , Regno Unito}, doi = {10.1049/iet-sen.2019.0140}, journal = {IET software (Print)}, volume = {14}, pages = {553–562}, year = {2020} }