Identification of Software Rot Using Range Control Limits

In this research work we have developed a threshold algorithm that helps to differentiate the metrics values into four categories for identification of degree for software rot, that might occur in life cycle of software project been build, development and release based on agile development model. Our algorithm make use of dynamic range values for each metric rather than using simply mean for calculating multiple deviations for degree of software rot. As a result from this algorithm we can infer how much prone is software project leading to software rot or near amendment of software project.