How effective is R in analyzing various software engineering data (e.g. code inspections, bugs identification, code duplication, documentation consistency, etc.)?
R is an excellent, free statistical package (GNU license) in which you can write your own code for any kind of statistical analyses. Common statistics such as mean,median,mode,std. dev, variance etc. can be easily calculated using its readily available library functions. However, I don't remember if it has any specialized features for analyzing software engg. data. The library of functions is huge - using it, you can do advanced statistical analyses like correlation & regression, curve fitting using the method of least squares, ANOVA, determination of confidence intervals and so on. Hope this helps !
Dear Hussam,
SonarSource is a tool which is dedicated to source code analysis: http://www.sonarsource.com/.
Kind regards,
Olivier PARISOT
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