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Software Reliability Prediction and Estimation
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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
doi:10.35940/ijitee.h6329.069820
fatcat:m35g4u5755cqjm37u7pgz77sry