Dynamic Metric For Enhancing Software Reliability And Testabiliy Using Genetic Algorithm

The overall aim of the software industry is to make sure delivery of high quality software to the end user. Software metrics are necessary to measure quality in terms of software performance and reliability connected characteristics like dependencies, coupling and cohesion etc. It provides a way to measure the improvement of code during development and having direct relationship with cost and time incurred in the software design and development at their later stages. It is supportive in developing good quality software that must be built in cost-effective manner and within time constraints to met end user requirements. Software Quality depends upon Software metrics. Software metric is the measurement of some property of software Hence performance of software directly depends upon the type of metric used for its estimation. Static metrics used in past are becoming outdated due to the altering nature of software. Because static metric does not give exact results about the dynamic run time behaviour of the software and software are becoming extra composite and having multiple user interfaces today. This leads to the interest of developers tending toward dynamic metric. Dynamic Matrices give exact results about the dynamic dependencies that are real during the run time of software. Developers are proficient to get dynamic analysis of the system that results in better performance of system. When a system is improved with new features then Reliability and Testability of the system is measured using an innovative dynamic metrics helps in growing maintainability and Testing of the system. The system developed following evaluation will be more compatible, a smaller amount prone to errors and with improved performance