Authors : N. Baskar, A.V. Ramani and C. Chandrasekar
Abstract: Now a days, component-based systems are being used increasingly which have made changes to build and maintain the systems. In the present technical researcher, each day several numbers of software are built up and offered in the market but software maintenance measuring is still a big challenge. Maintenance becomes very difficult if the components are integrated into the system due to source code may be partial or invisible completely. Several models and metrics are implemented for the software but they did not meet the need of the component-based software. Among those set of metrics, Response for a Class (RFC) is one of the metrics which is nothing but the number of methods that can be potentially executed in response to a message received by an object of a class. In RFC, each function call statement value is considered to be 1. The cognitive feature is not included in RFC metric which is felt as a major negative aspect of this metric. So, this researcher proposed a metric for measuring the interface maintenance for the component based software system. The proposed metric for the maintainability is Cognitive Weighted Response for a Class (CWRFC) metric. The proposed metric is applied to the computer classification and acquired better results which will help not only for low maintenance of the component based system but also to reduce the complexity efforts.
N. Baskar, A.V. Ramani and C. Chandrasekar, 2017. An Interface Maintainability Measure for Component-Based Software Systems. Asian Journal of Information Technology, 16: 503-510.