An application of software science to the quantitative measurement of code quality
Farid A. Naib · ACM SIGMETRICS Performance Evaluation Review · 1982
The error rate of a software application may function as a measure of code quality. A methodology has been developed which allows for the accurate prediction of the error rate and hence code quality prior to an application's release. Many factors were considered which could conceivably be related to the error rate. These factors were divided into two categories: those factors which vary with time, and those factors which do not vary with time. Factors which vary with time were termed environmental factors and included such items as: number of users, errors submitted to date, etc. Factors which do not vary with time were termed internal factors and included Halstead metrics, McCabe metrics and lines of code.