Return to search

A verified and optimized Stream X-Machine testing method, with application to cloud service certification

Yes / The Stream X-Machine (SXM) testing method provides strong and repeatable guarantees of functional correctness, up to a specification. These qualities make the method attractive for software
certification, especially in the domain of brokered cloud services, where arbitrage seeks to substitute functionally equivalent services from alternative providers. However, practical obstacles
include: the difficulty in providing a correct specification, the translation of abstract paths into
feasible concrete tests, and the large size of generated test suites. We describe a novel SXM
verification and testing method, which automatically checks specifications for completeness and
determinism, prior to generating complete test suites with full grounding information. Three optimisation steps achieve up to a ten-fold reduction in the size of the test suite, removing infeasible
and redundant tests. The method is backed by a set of tools to validate and verify the SXM specification, generate technology-agnostic test suites and ground these in SOAP, REST or rich-client
service implementations. The method was initially validated using seven specifications, three
cloud platforms and five grounding strategies. / European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 328392, the Broker@Cloud project [11].

Identiferoai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/17608
Date15 January 2020
CreatorsSimons, A.J.H., Lefticaru, Raluca
PublisherWiley
Source SetsBradford Scholars
LanguageEnglish
Detected LanguageEnglish
TypeArticle, Published version
Rights©2020 The Authors. Software Testing, Verification & Reliability published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Page generated in 0.0026 seconds