Service Classification through Machine Learning: Aiding in the Efficient Identification of Reusable Assets in Cloud Application Development
Author:
Affiliation:
1. University of Salamanca,Spain
2. University of Groningen,The Netherlands
3. University of Macedonia,Greece
4. AIR Institute,Spain
5. Unparallel,Portugal
6. Contact Software,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10011188/10011189/10011520.pdf?arnumber=10011520
Reference28 articles.
1. Software Reuse in the Emerging Cloud Computing Era
2. Rigorous development of reusable, domain-specific components, for complex applications;snook;2014 Int Workshop on Critical Syst Development with UML,2004
3. REACT - A Process for Improving Open-Source Software Reuse
4. A composite classification model for web services based on semantic & syntactic information integration;s k s;2015 IEEE Int Adv Comput Conf,2015
5. Semantics-based Web service classification using morphological analysis and ensemble learning techniques
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