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In this paper neural networks have been proposed as an alternative technique to build software reliability growth models. A feed-forward neural network was used to predict the number of faults initially resident in a program at the beginning of a test/debug process. To evaluate the predictive capability of the developed model data sets from various projects(More)
In this paper we propose the idea of building a new software reliability models using Radial Basis Function (RBF) network. The RBF network is easy to design and the network structure can be represented in a simple mathematical equation. Our goal is to build a generalized model that can be used for software predication [1]. The RBF network was trained with a(More)
Domain Name System (DNS) is the system for the mapping between easily memorizable host names and their IP addresses. Due to its criticality, security extensions to DNS have been proposed in an Internet Engineering Task Force (IETF) working group to provide authentication. In this paper , we point out two difficulties in the current DNSSEC (DNS Security(More)
AbstRAct Domain Name System (DNS) is the system for the mapping between easily memorizable host names and their IP addresses. Due to its criticality, the Internet Engineering Task Force (IETF) has defined a DNS Security Extension (DNSSEC) to provide data-origin authentication. In this paper, we point out two drawbacks of the DNSSEC standard in its handling(More)