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Empirical Software Engineering using R: first draft available for download

A draft of my book Empirical Software Engineering using R is now available for download.

The book essentially comes in two parts:

  • statistical techniques that are useful for analyzing software engineering data. This draft release contains most of the techniques I plan to cover. I am interested in hearing about any techniques you think ought to be covered, but I only cover techniques when real data is available to use in an example,
  • six chapters covering what I consider to be the primary aspects of software engineering. This draft release includes the Human Cognitive Characteristics chapter and I am hoping to release one each of the remaining chapters every few months (Economics is next).

There is a page for making suggestions and problem reports.

All the code+data is available and I am claiming to have a copy of all the important, publicly available, software engineering data. If you know of any I don’t have, please let me know.

I am looking for a publisher. The only publisher I have had serious discussions with decided not to go ahead because of my insistence of releasing a free copy of the pdf. Self-publishing is a last resort.

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  1. Anonymous
    January 31st, 2017 at 16:41 | #1

    Comparing distributions via student t-test, wilcoxon and other methods used in empirical software engineering needs to be clearly described in my opinion.

  2. January 31st, 2017 at 19:08 | #2

    It is true that student t-test, wilcoxon and other methods are currently used in analysis of software engineering data (as well as analysis of all kinds of data). I don’t discuss these for the reasons cited, i.e., better methods (the bootstrap) are available (my reasons may need to be more clearly stated or made more prominent).

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