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

Author:

Padhy NeelamadhabORCID,Singh R. P.,Satapathy Suresh Chandra

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference54 articles.

1. Caldiera, G., Basili, V.R.: Identifying and qualifying reusable software components. IEEE Softw. 24, 61–70 (1991)

2. Sommerville, I.: Software Engineering, 9th edn. Addison-Wesley, New York (2011)

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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