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(This article was first published on <strong><a href="http://shape-of-code.coding-guidelines.com/2018/04/03/reliability-chapter-added-to-empirical-software-engineering-using-r/"> The Shape of Code » R</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>The Reliability chapter of my Empirical software engineering book has been added to the draft pdf (<a rel="nofollow" href="http://www.knosof.co.uk/ESEUR" target="_blank">download here</a>).</p>
<p>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; cost and schedule overruns can be rather public (<a rel="nofollow" href="http://shape-of-code.coding-guidelines.com/2017/10/27/projects-chapter-added-to-empirical-software-engineering-using-r/" target="_blank">projects chapter</a>), but reliability problems are easier to keep quiet.</p>
<p>Originally there was a chapter covering reliability and another one covering faults. As time passed, these merged into one. The material kept evaporating in front of my eyes (around a third of the initial draft, collected over the years, was deleted); I have already written about why <a rel="nofollow" href="http://shape-of-code.coding-guidelines.com/2017/12/27/almost-all-published-analysis-of-fault-data-is-worthless/" target="_blank">most fault prediction research is a waste of time</a>. If it had not been for <a rel="nofollow" href="http://shape-of-code.coding-guidelines.com/2016/05/23/the-fall-of-rome-and-the-ascendancy-of-ego-and-bluster/" target="_blank">Rome</a> I would not have had much to write about.</p>
<p>Perhaps what will jump out at people most, is that I distinguish between mistakes in code and what I call a <em>fault experience</em>. A <code>fault_experience=mistake_in_code + particular_input</code>. Most fault researchers have been completely ignoring half of what goes into every fault experience, the input profile (if the user does not notice a fault, I do not consider it experienced) . It’s incredibly difficult to figure out anything about the input profile, so it has been quietly ignored (one of the reasons why research papers on reported faults are such a waste of time).</p>
<p>I’m also missing an ‘interesting’ figure on the opening page of the chapter. Suggestions welcome.</p>
<p>I have not said much about source code characteristics. There is a chapter covering source code, perhaps some of this material will migrate to reliability.</p>
<p>All sorts of interesting bits and pieces have been added to earlier chapters. Ecosystems keeps growing and in years to come somebody will write a multi-volume tomb on software ecosystems.</p>
<p>I have been promised all sorts of data. Hopefully some of it will arrive.</p>
<p>As always, if you know of any interesting software engineering data, please tell me.</p>
<p>Source code chapter next.</p>
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