Towards a linked data vocabulary for the certification of software properties
Towards a linked data vocabulary for the certification of software properties
In order to cater for a growing user base that requires varied functionalities and owns multiple devices, software providers are using cloud solutions as the preferred technical means. In fact, all major operating systems come with a tight integration to cloud services. Software solutions that have such integration with cloud services should disclose (transparency) this to the consumer. Furthermore, with mounting concerns over the security of software, consumers are demanding assurance over the software being used. Software certification can address both issues: security and transparency of software; thereby providing comprehensive assurance to consumers. However current software certifications are tailored for human consumption and represented in natural language, a major issue that hinders automated reasoning to be performed on them. Focused research efforts in the past few years have resulted in a Digital Certification concept, a machine processable representation of certifications, that can cater to different software provisioning models. We extend the notion of a Digital Certification by using the Linked Data vocabulary to express general characteristics of software systems that benefits from existing and future knowledge from the Linked Data community. This greatly increases the usability of such Digital Certifications and has a wider impact on the Software certification landscape.
978-1-4799-7978-3
721-727
Di Cerbo, F.
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Kaluvuri, S.P.
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Motte, F.
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Nasser, B.
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Chen, X.
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Short, S.
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November 2014
Di Cerbo, F.
c3835c6f-4ee2-44ef-8cbd-3f002c2fd631
Kaluvuri, S.P.
61e85ca0-ebfd-498b-a04c-6f33807cee67
Motte, F.
1aaede1e-ebb2-419b-a02f-2baf87fb6a81
Nasser, B.
d601c873-8295-44e3-a4e1-d363a26ee086
Chen, X.
12758557-9723-4d44-9eae-8e7c599f2e18
Short, S.
26876111-402f-4cf6-83f4-7a9d64c4ea82
Di Cerbo, F., Kaluvuri, S.P., Motte, F., Nasser, B., Chen, X. and Short, S.
(2014)
Towards a linked data vocabulary for the certification of software properties.
Yetongnon, K., Dipanda, A. and Chbeir, R.
(eds.)
In Tenth International Conference on Signal-Image Technology & Internet-Based Systems.
IEEE Computer Society.
.
(doi:10.1109/SITIS.2014.29).
Record type:
Conference or Workshop Item
(Paper)
Abstract
In order to cater for a growing user base that requires varied functionalities and owns multiple devices, software providers are using cloud solutions as the preferred technical means. In fact, all major operating systems come with a tight integration to cloud services. Software solutions that have such integration with cloud services should disclose (transparency) this to the consumer. Furthermore, with mounting concerns over the security of software, consumers are demanding assurance over the software being used. Software certification can address both issues: security and transparency of software; thereby providing comprehensive assurance to consumers. However current software certifications are tailored for human consumption and represented in natural language, a major issue that hinders automated reasoning to be performed on them. Focused research efforts in the past few years have resulted in a Digital Certification concept, a machine processable representation of certifications, that can cater to different software provisioning models. We extend the notion of a Digital Certification by using the Linked Data vocabulary to express general characteristics of software systems that benefits from existing and future knowledge from the Linked Data community. This greatly increases the usability of such Digital Certifications and has a wider impact on the Software certification landscape.
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Published date: November 2014
Venue - Dates:
conference; ma; 2014-11-23; 2014-11-27, Marrakech, Morocco, 2014-11-23 - 2014-11-27
Organisations:
IT Innovation
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Local EPrints ID: 386631
URI: http://eprints.soton.ac.uk/id/eprint/386631
ISBN: 978-1-4799-7978-3
PURE UUID: 577dd18b-bc13-4881-987d-9e8c228e532f
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Date deposited: 08 Feb 2016 13:45
Last modified: 14 Mar 2024 22:34
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Contributors
Author:
F. Di Cerbo
Author:
S.P. Kaluvuri
Author:
F. Motte
Author:
B. Nasser
Author:
X. Chen
Author:
S. Short
Editor:
K. Yetongnon
Editor:
A. Dipanda
Editor:
R. Chbeir
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