Blog Archives

Practical statistics books for software engineers

November 7, 2018
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So you have read my (draft) book on evidence-based software engineering and want to learn more about the statistical techniques used, but are not interested lots of detailed mathematics. What books do I suggest? All the following books are sitting on the shelf next to where I write (not that they get read that much

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StatsModels: the first nail in R’s coffin

August 5, 2018
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In 2012, when I decided to write a book on evidence-based software engineering, R was the obvious system to use for data analysis. At the time, lots of new books had “using R” or “with R” added at the end of their titles; I chose “using R”. When developers tell me they need to do

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Source code chapter added to “Evidence-based software engineering using R”

July 31, 2018
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The Source Code chapter of my evidence-based software engineering book has been added to the draft pdf (download here). This chapter has suffered from coming last and there is still lots of work to be done. Almost all the source code related data has been plundered to fill up earlier chapters. Some data did not

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Reliability chapter added to “Empirical software engineering using R”

April 3, 2018
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The Reliability chapter of my Empirical software engineering book has been added to the draft pdf (download here). I have been working on this draft for four months and it still needs lots of work; time to move on and let it stew for a while. Part of the problem is lack of public data;

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Data-set update to “Empirical software engineering using R”

November 26, 2017
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The pile of papers, books and data-sets, relating to previously released draft chapters of my Empirical software engineering book, has been growing, and cluttering up my mind. I decided to have a clear-out. A couple of things stood out. There are around 25 data-sets that have been promised but not yet arrived. If you encounter

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Projects chapter added to “Empirical software engineering using R”

October 27, 2017
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The Projects chapter of my Empirical software engineering book has been added to the draft pdf (download here). This material turned out to be harder to bring together than I had expected. Building software projects is a bit like making sausages in that you don’t want to know the details, or in this case those

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Ecosystems chapter added to “Empirical software engineering using R”

July 17, 2017
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The Ecosystems chapter of my Empirical software engineering book has been added to the draft pdf (download here). I don’t seem to be able to get away from rewriting everything, despite working on the software engineering material for many years. Fortunately the sparsity of the data keeps me in check, but I keep finding new

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Warp your data to make it visually appealing

May 4, 2017
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Warp your data to make it visually appealing

Data plots can sometimes look very dull and need to be jazzed up a bit. Now, nobody’s suggesting that the important statistical properties of the data be changed, but wouldn’t it be useful if the points could be moved around a bit, to create something visually appealing without losing the desired statistical properties? Readers have

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Economics chapter added to “Empirical software engineering using R”

March 26, 2017
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The Economics chapter of my Empirical software engineering book has been added to the draft pdf (download here). This is a slim chapter, it might grow a bit, but I suspect not by a huge amount. Reasons include lots of interesting data being confidential and me not having spent a lot of time on this

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Empirical Software Engineering using R: first draft available for download

January 29, 2017
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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

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