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Erschienen in: Service Oriented Computing and Applications 3-4/2018

27.09.2018 | Special Issue Paper

A testing data validity assessment method and testing data validation platform based on SOA

verfasst von: Beige Zhang, Chun Li, Nazaraf Shah, Xiang Fei, Lihong Jiang, Hongming Cai

Erschienen in: Service Oriented Computing and Applications | Ausgabe 3-4/2018

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Abstract

In modern manufacturing, ensuring the quality of component testing data is highly valued by both product manufacturers and component suppliers. However, in common component quality analysis processes, testing data are assumed to be valid, which might not be true. Therefore, assessing the validity of component testing data would be important. Many existing data analysis platforms are separated from enterprises’ own systems, which makes the inspection data analysis incoherent to their business process. In this paper, we propose a testing data quality assessment method and a testing data validation platform based on SOA. The platform provides reliable third-party testing data validation service via RESTful APIs, so that the services can be seamlessly integrated to enterprise systems. The testing data validity assessment method, which is the core of the platform, is implemented by detecting illegal behavior in data recording. The detection is a combination of behavior analysis and a positive and unlabeled learning process.

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Metadaten
Titel
A testing data validity assessment method and testing data validation platform based on SOA
verfasst von
Beige Zhang
Chun Li
Nazaraf Shah
Xiang Fei
Lihong Jiang
Hongming Cai
Publikationsdatum
27.09.2018
Verlag
Springer London
Erschienen in
Service Oriented Computing and Applications / Ausgabe 3-4/2018
Print ISSN: 1863-2386
Elektronische ISSN: 1863-2394
DOI
https://doi.org/10.1007/s11761-018-0242-4

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