A quantitative framework for integrated software quality measurement in multi-versions systems

Code measurements through software metrics provide a basis for quantifying quality attributes of higher abstraction levels. Along with this core constituent, bugs/vulnerability databases and change-logs are certain dynamic repositories, which can supplement the information provided by quality parameters derived, in more productive ways. This paper proposes a quantitative framework for integrated software quality measurement which is especially useful in Multi-versions systems to ascertain their relative progression with each successive release. The idea is to annotate the information mapped from bugs/vulnerability reports with quality attributes obtained from code metrics. Finally, some instances have also been given demonstrating the approach to determine the relation between the two practically. Additionally, this approach can be used to validate the trend analyses of metrics drawn from dynamic realms with each individual quality attribute derived statically.