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Software reliability measurement and prediction are used to evaluate model parameters in advance of applying a model. Measurement involves collecting and analyzing data about the observed reliability of software, from which the parameters are estimated, for example, the occurrence of failures during test. Prediction is using a model to forecast future software reliability, for example, time to next...
This paper includes the conditional probability of security failures given the occurrence of reliability failures. To our knowledge, this is the first research to perform this type of integration of reliability and security. It was necessary for us to use hypothetical but realistic probability distributions and parameters because, unfortunately, cyber attack data is not publicly available. In our...
In previous research, we showed that risk factors have a significant negative effect on reliability (e.g., failure occurrence). In this research, we show that it is feasible to predict risk (i.e., the probability that risk factors are related to discrepancy reports occurring on a software release). This is an important advance over the previous research because discrepancy reports are available in...
In analyzing the stability of a maintenance process, it is important that it not be treated in isolation from the reliability and risk of deploying the software that result from applying the process. Furthermore, we need to consider the efficiency of the test effort that is a part of the process and a determinate of reliability and risk of deployment. Therefore, we integrated these factors into a...
Two particularly nagging ailments faced by the computer industry today are the high cost and late delivery of software.1,2The symptoms usually surface during software debugging, testing, and integration; but the ailments themselves can most often be traced back to the program design phase and the structural characteristics of the program. The significance of program structural characteristics has...
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