Reliability is an important software quality parameter. In this research for computation of software reliability, component reliability model based on SPN would be proposed. An isomorphic markov chain is obtained from component SPN model. A quantitative reliability prediction method is proposed. The component reliability value is calculated according to the transition cumulative probability distribution of markov chain, obtained from the software SPN model. By means of reliability prediction of the whole software, we'll introduce CRMPN. In CRMPN states are component reliability model and transition are marked with components reliability. With this research more complex software could be simplified and reliability of the software could be ev...
This paper deals with the reliability assessment of component-based software to predict the software...
Reliability is a key driver of safety-critical systems such as health-care systems and traffic contr...
Software reliability prediction gives a great opportunity to measure the software failure rate at an...
Behaviour models are the most commonly used input for predicting the reliability of a software syste...
One of the most important quality attributes of a software system beyond its functional attributes i...
This thesis estimates the performance of software system using Stochastic Petri Nets (SPN) and Fault...
Abstract—Today’s era highly depends on the applications built via software and if the quality of sof...
[[abstract]]Software reliability is the probability of failure-free software operation for a specifi...
AbstractPredicting the reliability of a software system at an architectural level during early desig...
Software designers are motivated to utilize off-the-shelf software components for rapid application ...
Predicting the reliability of a software system at an architectural level during early design stages...
Software reliability is the ability of the software to perform its specified function under some spe...
[[abstract]]In this paper, we propose an artificial neural-network-based approach for software relia...
UnrestrictedModeling and estimating software reliability during testing is useful in quantifying the...
[[abstract]]In this paper, we propose an artificial neural-network-based approach for software relia...
This paper deals with the reliability assessment of component-based software to predict the software...
Reliability is a key driver of safety-critical systems such as health-care systems and traffic contr...
Software reliability prediction gives a great opportunity to measure the software failure rate at an...
Behaviour models are the most commonly used input for predicting the reliability of a software syste...
One of the most important quality attributes of a software system beyond its functional attributes i...
This thesis estimates the performance of software system using Stochastic Petri Nets (SPN) and Fault...
Abstract—Today’s era highly depends on the applications built via software and if the quality of sof...
[[abstract]]Software reliability is the probability of failure-free software operation for a specifi...
AbstractPredicting the reliability of a software system at an architectural level during early desig...
Software designers are motivated to utilize off-the-shelf software components for rapid application ...
Predicting the reliability of a software system at an architectural level during early design stages...
Software reliability is the ability of the software to perform its specified function under some spe...
[[abstract]]In this paper, we propose an artificial neural-network-based approach for software relia...
UnrestrictedModeling and estimating software reliability during testing is useful in quantifying the...
[[abstract]]In this paper, we propose an artificial neural-network-based approach for software relia...
This paper deals with the reliability assessment of component-based software to predict the software...
Reliability is a key driver of safety-critical systems such as health-care systems and traffic contr...
Software reliability prediction gives a great opportunity to measure the software failure rate at an...