Microservice architectures (MSA) is an emerging software architectural paradigm for service-oriented applications, well-suited for dynamic contexts requiring loosely coupled independent services, frequent software releases and decentralized governance. A key problem in the engineering of MSA applications is the estimate of their reliability, which is difficult to perform prior to release due frequent releases/service upgrades, dynamic service interactions, and changes in the way customers use the applications. This paper presents an in vivo testing method, named EMART, to faithfully assess the reliability of an MSA application in operation. EMART is based on an adaptive sampling strategy, leveraging monitoring data about microservices usage and failure/success of user demands. We present results of evaluation of estimation accuracy, confidence and efficiency, through a set of controlled experiments with publicly available subjects.
Testing microservice architectures for operational reliability / Pietrantuono, Roberto; Russo, Stefano; Guerriero, Antonio. - In: SOFTWARE TESTING VERIFICATION & RELIABILITY. - ISSN 0960-0833. - 30:2(2020), pp. 1-23. [10.1002/stvr.1725]
Testing microservice architectures for operational reliability
Roberto Pietrantuono;Stefano Russo
;Antonio Guerriero
2020
Abstract
Microservice architectures (MSA) is an emerging software architectural paradigm for service-oriented applications, well-suited for dynamic contexts requiring loosely coupled independent services, frequent software releases and decentralized governance. A key problem in the engineering of MSA applications is the estimate of their reliability, which is difficult to perform prior to release due frequent releases/service upgrades, dynamic service interactions, and changes in the way customers use the applications. This paper presents an in vivo testing method, named EMART, to faithfully assess the reliability of an MSA application in operation. EMART is based on an adaptive sampling strategy, leveraging monitoring data about microservices usage and failure/success of user demands. We present results of evaluation of estimation accuracy, confidence and efficiency, through a set of controlled experiments with publicly available subjects.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.