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ElasTest: an elastic platform for testing complex distributed large software systems

Obiettivo

The demand for larger and more interconnected software systems is constantly increasing, but the ability of developers to satisfy it is not evolving accordingly. The most limiting factor is software validation, which typically requires very costly and complex testing processes. This project aims at significantly improving the efficiency and effectiveness of the testing process and, with it, the overall quality of large software systems. For this, we propose to apply the “divide-and-conquer” principle, which is commonly used for architecting complex software, to testing by developing a novel test orchestration theory and toolbox enabling the creation of complex test suites as the composition of simple testing units. This test orchestration mechanism is complemented with a number of tools that include: (1) Capabilities for the instrumentation of the Software under Test enabling to reproduce real-world operational conditions thanks to features such as Packet Loss as a Service, Network Latency as a Service, Failure as a Service, etc. (2) Reusable testing services solving common testing problems including Browser Automation as a Service, Sensor Emulator as a Service, Monitoring as a Service, Security Check as a Service, Log Ingestion and Analysis as a Service, Cost Modeling as a Service, etc. (3) Cognitive computing and machine learning mechanisms suitable for ingesting large amounts of knowledge (e.g. specifications, logs, software engineering documents, etc.) and capable of using it for generating testing recommendations and answering natural language questions about the testing process. The ElasTest platform thus created shall be released basing on a flexible Free Open Source Software and a community of users, stakeholders and contributors shall be grown around it with the objective of transforming ElasTest into a worldwide reference in the area of large software systems testing and of guaranteeing the long term sustainability of the project generated results.

Invito a presentare proposte

H2020-ICT-2016-2017

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Bando secondario

H2020-ICT-2016-1

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

UNIVERSIDAD REY JUAN CARLOS
Contribution nette de l'UE
€ 797 625,00
Indirizzo
CALLE TULIPAN
28933 Mostoles
Spagna

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Regione
Comunidad de Madrid Comunidad de Madrid Madrid
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 797 625,00

Partecipanti (12)