Prediction of rate of improvement of software quality and development effort on the basis of Degreeof excellence with respect to number of lines of code
This addresses software engineering by offering a new parameter for effort estimation, but it appears incremental as it builds on existing quality prediction tools.
The paper tackles the problem of predicting software quality improvement rates based on lines of code to estimate development effort, proposing a system that calculates error levels and degree of excellence over time.
The objective of this research work is to improve the degree of excellence by removing the number of exceptions from the software. The modern age is more concerned with the quality of software. Extensive research is being carried out in this direction. The rate of improvement of quality of software largely depends on the development time. This development time is chiefly calculated in clock hours. However development time does not reflect the effort put in by the developer. A better parameter can be the rate of improvement of quality level or the rate of improvement of the degree of excellence with respect to time. Now this parameter needs the prediction of error level and degree of excellence at a particular stage of development of the software. This paper explores an attempt to develop a system to predict rate of improvement of the software quality at a particular point of time with respect to the number of lines of code present in the software. Having calculated the error level and degree of excellence at two points in time, we can move forward towards the estimation of the rate of improvement of the software quality with respect to time. This parameter can estimate the effort put in while development of the software and can add a new dimension to the understanding of software quality in software engineering domain. In order to obtain the results we have used an indigenous tool for software quality prediction and for graphical representation of data, we have used Microsoft office 2007 graphical chart.