Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Capability Assessment Model for Software Outsourcing Service Providers Based on Interval Evidential Reasoning

Authors
Sheng-Qun Chen
Corresponding Author
Sheng-Qun Chen
Available Online November 2016.
DOI
10.2991/icmia-16.2016.77How to use a DOI?
Keywords
Software outsourcing, Service provider, Interval value, Evidential reasoning
Abstract

An enterprise may benefit from software business outsourcing depending on the suitability of the outsourcing service provider. This research addresses the assessment of the contracting capability of software outsourcing vendors and proposes a decision-making model based on Interval Evidential Reasoning (IER). Firstly, a capability assessment index system for software outsourcing vendors is developed. The idea of transforming different types of assessment information into evidence probability is presented and an assessment model based on IER is established. Finally, the feasibility and validity of this approach is demonstrated by an example calculation.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/icmia-16.2016.77
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.77How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Sheng-Qun Chen
PY  - 2016/11
DA  - 2016/11
TI  - Capability Assessment Model for Software Outsourcing Service Providers Based on Interval Evidential Reasoning
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.77
DO  - 10.2991/icmia-16.2016.77
ID  - Chen2016/11
ER  -