Framework to measure and maintain the quality of software using the concept of Code Readability

Present day’s software industry is using software metrics to estimate the complexity of software systems to find software cost estimation, software development control, software testing, software assurance and software maintenance. The relationship between a simple set of local code features and human concept of readability can be derived by collecting the data from 120 human annotators. This paper presents the concept of code readability and investigate its relation to software quality and also a Framework has been developed to evaluate proposed metrics and apply to the use of Bug counts, which reduces the complexity of not capturing or missing even the small parts of the meaning of the attributes they are being used to measure.. By predicting the judgment of readability it can be ensured that , the constructed automated readability measure is more effective than a human on average. Hence, this paper strongly satisfies the three measures of software quality: Changes in the code, defect log messages, and automated defect reports.