Add to ORKGAbstract: Software Reliability is a key concern of many users and developers of softwares. Demand for high software reliability requires robust modeling techniques for software quality prediction. This paper presents a new approach to software reliability assessment by using neural network. The neural network model has been applied to three different applications and normalized root mean of the square of error as an evaluation criterion. Results show that the neural network model adopted has good predictive capability
Neural networks are ideal tools for prediction and other analysis and have been proven to be a good ...
The role of software reliability and quality improvement is becoming more important than any other i...
Software systems exist in different critical domains. Software reliability assessment has become a c...
Abstract: Software reliability growth models have achieved considerable importance in estimating rel...
Software reliability is the ability of the software to perform its specified function under some spe...
Abstract: Software Reliability Engineering focuses on dealing with the best quality of software. It ...
[[abstract]]In this paper, we propose an artificial neural-network-based approach for software relia...
[[abstract]]In this paper, we propose an artificial neural-network-based approach for software relia...
Abstract- In this paper neural networks have been proposed as an alternative technique to build soft...
Reliability is the one of the most important attribute of the software for customer satisfaction. It...
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...
Software engineering is incomplete without Software reliability prediction. For characterising any s...
Software Reliability is a key concern of many users and developers of software. Demand for high soft...
Abstract: Software Reliability is the main concern due to the growing nature of industry. The reliab...
Neural networks are ideal tools for prediction and other analysis and have been proven to be a good ...
The role of software reliability and quality improvement is becoming more important than any other i...
Software systems exist in different critical domains. Software reliability assessment has become a c...
Abstract: Software reliability growth models have achieved considerable importance in estimating rel...
Software reliability is the ability of the software to perform its specified function under some spe...
Abstract: Software Reliability Engineering focuses on dealing with the best quality of software. It ...
[[abstract]]In this paper, we propose an artificial neural-network-based approach for software relia...
[[abstract]]In this paper, we propose an artificial neural-network-based approach for software relia...
Abstract- In this paper neural networks have been proposed as an alternative technique to build soft...
Reliability is the one of the most important attribute of the software for customer satisfaction. It...
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...
Software engineering is incomplete without Software reliability prediction. For characterising any s...
Software Reliability is a key concern of many users and developers of software. Demand for high soft...
Abstract: Software Reliability is the main concern due to the growing nature of industry. The reliab...
Neural networks are ideal tools for prediction and other analysis and have been proven to be a good ...
The role of software reliability and quality improvement is becoming more important than any other i...
Software systems exist in different critical domains. Software reliability assessment has become a c...