Cost-effective and fault-resilient reusability prediction model by using adaptive genetic algorithm based neural network for web-of-service applications-Reference-Cited by-同舟云学术

Cost-effective and fault-resilient reusability prediction model by using adaptive genetic algorithm based neural network for web-of-service applications

Published:2018-03-10 Issue:S6 Volume:22 Page:14559-14581
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Padhy Neelamadhab^ORCID,Singh R. P.,Satapathy Suresh Chandra

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/content/pdf/10.1007/s10586-018-2359-9.pdf

Reference54 articles.

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3. Goel, B.M., Bhatia, P.K.: Analysis of reusability of object-oriented systems using object-oriented metrics. ACM SIGSOFT Softw. Eng. Notes 38, 1–5 (2013)

4. Kumar, V., Kumar, R., Sharma, A.: Applying neuro-fuzzy approach to build the reusability assessment framework across software component releases—an empirical evaluation. Int. J. Comput. Appl. 70, 41–47 (2013)

5. Singh, G.: Metrics for measuring the quality of object-oriented software. ACM SIGSOFT Softw. Eng. Notes 38, 1–5 (2013)

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