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CQE: an approach to automatically estimate the code quality using an objective metric from an empirical study

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Bugs in a project, at any stage of Software life cycle development are costly and difficult to find and fix.
Moreover, the later a bug is found, the more expensive it is to fix. There are static analysis tools to ease the
process of finding bugs, but their results are not easy to filter out critical errors and is time consuming to
analyze. To solve this problem we used two steps: first to enhance the bugs severity and second is to estimate
the code quality, byWeighted Error Code Density metric. Our experiment on 10 widely used open-source Java
applications automatically shows their code quality estimated using our objective metric. We also enhance the
error ranking of FindBugs, and provide a clear view on the critical errors to fix as well as low priority ones to
potentially ignore.

Suggested citation:

. () CQE: an approach to automatically estimate the code quality using an objective metric from an empirical study [Online]. Available from: http://publichealthwell.ie/node/854144 [Accessed: 21st September 2019].

  

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