PREDICTING RELIABILITY OF OBJECT-ORIENTED SYSTEMS USING A NEURAL NETWORK

Authors

  • Alisa BUDUR Babeș-Bolyai University, Cluj-Napoca, Romania. Email: abudur@riasolutionsgroup.com
  • Camelia ȘERBAN Babeș-Bolyai University, Cluj-Napoca, Romania. Email: camelia@cs.ubbcluj.ro
  • Andreea VESCAN Babeș-Bolyai University, Cluj-Napoca, Romania. Email: avescan@cs.ubbcluj.ro

DOI:

https://doi.org/10.24193/subbi.2019.2.05

Keywords:

Reliability, prediction, neural network.

Abstract

One of the most important quality attributes of computer systems is reliability, which addresses the ability of the software to perform its required function under stated conditions for a stated period of time.

The paper aim is twofold. Firstly, the proposed approach explores how to define a metric to qualify the sub-aspects comprised in ISO 25010 regarding reliability as maturity and availability. Secondly, we investigate to what extent the internal structure of the system quantified by the Chidamber and Kemerer (CK) metrics may be used to predict reliability.

The approach for prediction is a feed-forward neural network with back-propagation learning.

The results indicate that CK metrics are promising in predicting reliability using a neural network method.

Author Biographies

Alisa BUDUR, Babeș-Bolyai University, Cluj-Napoca, Romania. Email: abudur@riasolutionsgroup.com

Babeș-Bolyai University, Department of Computer Science, 1 M. Kogălniceanu Street, 400084 Cluj-Napoca, Romania. Email: abudur@riasolutionsgroup.com

Camelia ȘERBAN, Babeș-Bolyai University, Cluj-Napoca, Romania. Email: camelia@cs.ubbcluj.ro

Babeș-Bolyai University, Department of Computer Science, 1 M. Kogălniceanu Street, 400084 Cluj-Napoca, Romania. Email: camelia@cs.ubbcluj.ro

Andreea VESCAN, Babeș-Bolyai University, Cluj-Napoca, Romania. Email: avescan@cs.ubbcluj.ro

Babeș-Bolyai University, Department of Computer Science, 1 M. Kogălniceanu Street, 400084 Cluj-Napoca, Romania. Email: avescan@cs.ubbcluj.ro

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Published

2019-12-30

How to Cite

BUDUR, A., ȘERBAN, C., & VESCAN, A. (2019). PREDICTING RELIABILITY OF OBJECT-ORIENTED SYSTEMS USING A NEURAL NETWORK. Studia Universitatis Babeș-Bolyai Informatica, 64(2), 65–79. https://doi.org/10.24193/subbi.2019.2.05

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Articles