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.
翻译:这项研究工作的目标是通过取消软件的例外数目来提高优异程度,现代时代更关注软件的质量,正在朝这个方向进行广泛的研究。软件质量的提高速度在很大程度上取决于开发时间。开发时间主要以时钟计。开发时间并不反映开发者所作的努力。一个更好的参数可以是质量水平的提高速度或时间优异程度的提高速度。现在,这一参数需要预测软件开发特定阶段的差错程度和优异程度。本文探讨如何建立一个系统,预测软件质量在特定时间的改进速度,因为软件的编码线数是按时钟计算的。在计算出错误程度和优异程度之后,我们可以在两个时间点上着手估计软件质量的提高速度。这个参数可以估计软件开发过程中所作的努力,并在软件开发领域的特定阶段对软件质量的理解增加一个新的层面。本文探讨了如何建立一个系统,以预测软件质量在特定时间的改进程度。2007年,我们使用了一个局域的图表,我们使用了一个局域的图表,用于对2007年的图像进行我们所使用的数据分析。