Program Code Understandability and Authenticating Code Predicting Systems: A Metric-Based Approach

Software metrics have always been an area of research proposing abundant process metrics for quantifying the internal process attributes helpful in predicting the quantified degree of process attributes determined externally. But, the research lacks when question arises about defining metrics for understandability of program code as well as justification of the forecasting systems. Identification of some probable problems with metric reliability and legitimacy is the main concern of this paper. Further, two new metrics: PPCU and EPCU for better programcode understandability have been proposed. The research shows effects of quantifying program code on understandability of programmers by postulating certain assumptions. Different aspects of program code understandability can be problematical for a program to some extend affecting the desirable properties of the software. This expansion of work can be treated as a part of future work as far as code understandability is concerned.