Software Reliability Prediction and Estimation
Sampa ChauPattnaik1, Mitrabinda Ray2
1Sampa Chau Pattnaik, Department of Computer Science and Engineering, SOA University, Bhubaneswar, India.
2Mitrabinda Ray, Associate Professor, Department of Computer Science and Engineering, SOA University, Bhubaneswar, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on June 01, 2020. | Manuscript published on June 10, 2020. | PP: 855-869 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6329069820/2020©BEIESP | DOI: 10.35940/ijitee.H6329.069820
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The rapid growth of the software products tends to increase the software application complexity. The complexity affects the software quality which is achieved by means of software reliability. It is desirable to perform reliability analysis at the early phase of Software Development Life Cycle. The paper conducts a thorough analysis on Bayesian model and Markov model which are common for both reliability prediction and estimation. We evaluate the state based model and path based model for reliability assessment and results obtained in both are same.
Keywords: Software reliability, Reliability Metrics, Markov Model, Reliability Models, Reliability Prediction, Reliability Estimation
Scope of the Article: Software Dependability, Reliability, Scalability