<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/projects-chapter-added-to-empirical-software-engineering-using-r/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://shape-of-code.coding-guidelines.com/2017/10/27/projects-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 Projects 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>This material turned out to be harder to bring together than I had expected.</p>
<p>Building software projects is a bit like making sausages in that you don’t want to know the details, or in this case those involved are not overly keen to reveal the data.</p>
<p>There are lots of papers on requirements, but remarkably little data (<a rel="nofollow" href="http://shape-of-code.coding-guidelines.com/2013/04/21/prioritizing-project-stakeholders-using-social-network-metrics/" target="_blank">Soo Ling Lim’s work</a> being the main exception).</p>
<p>There are lots of papers on effort prediction, but they tend to rehash the same data and the quality of research is poor (i.e., tweaking equations to get a better fit; no explanation of why the tweaks might have any connection to reality). I had not realised that Norden did all the heavy lifting on what is sometimes called the <a rel="nofollow" href="https://en.wikipedia.org/wiki/Putnam%E2%80%93Norden%E2%80%93Rayleigh_curve" target="_blank">Putnam model</a>; Putnam was essentially an evangelist. The <a rel="nofollow" href="https://ntrs.nasa.gov/search.jsp?R=19870067647" target="_blank">Parr curve</a> is a better model (sorry, no pdf), but lacked an evangelist.</p>
<p>Accurate estimates are unrealistic: <a rel="nofollow" href="http://shape-of-code.coding-guidelines.com/2017/10/02/expected-variability-in-a-programs-sloc/" target="_blank">lots of variation between different people and development groups</a>, the client keeps changing the requirements and developer turnover is high.</p>
<p>I did turn up a few interesting data-sets and <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> came to the rescue in places.</p>
<p>I have been promised more data and am optimistic some will arrive.</p>
<p>As always, if you know of any interesting software engineering data, please tell me.</p>
<p>I’m looking to rerun the workshop on analyzing software engineering data. If anybody has a venue in central London, that holds 30 or so people+projector, and is willing to make it available at no charge for a series of free workshops over several Saturdays, please get in touch.</p>
<p>Reliability chapter next.</p>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://shape-of-code.coding-guidelines.com/2017/10/27/projects-chapter-added-to-empirical-software-engineering-using-r/"> The Shape of Code » R</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/XEtd59w3sdI" height="1"></a></div>