Software Reliability Assessment Using Hybrid Neuro-Fuzzy Model

Software reliability is the primary concern of software development organizations, and exponentially increasing demand for reliable requires modeling techniques to be developed in present era. Small unnoticeable drifts can culminate into a disaster. Early removal these errors helps organization improve enhance software’s save money, time, effort. Many soft computing are available get solutions critical problems but selecting appropriate technique big challenge. This paper proposed an efficient algorithm that used prediction reliability. The implemented using hybrid approach named Neuro-Fuzzy Inference System has also been applied test data. In this work, comparison among different performed. After testing training real time data with terms mean relative error absolute as 0.0060 0.0121, respectively, claim verified. results predicts attractive outcomes plus compared other existing models justify model. Thus, novel intends make model simple possible