Posted on Wed 08 March 2017 in TDDA • Tagged with tdda, errors of process, errors of interpretation
Yesterday, email subscribers to the blog, and some RSS/casual viewers, will have seen a half-finished (in fact, abandoned) post that began to try to characterize success and failure on the crowd-funding platform Kickstarter.
The post was abandoned because I didn't believe its first conclusion, but unfortunately was published by …
Continue readingPosted on Mon 20 February 2017 in TDDA • Tagged with tdda, errors of interpretation, graphs
It is a primary responsibility of analysts to present findings and data clearly, in ways to minimize the likelihood of misinterpretation. Graphs should help this, but all too often, if drawn badly (whether deliberately or through oversight) they can make misinterpretation highly likely. I want to illustrate this danger with …
Continue readingWe have written a 1-page summary of some of the core ideas in TDDA.
It is available as a PDF from stochasticsolutions.com/pdf/TDDA-One-Pager.pdf.
Continue readingPosted on Tue 31 January 2017 in TDDA • Tagged with tdda, regular expressions
We
previously
added rexpy to the Python tdda module. Rexpy is used to
find regular expressions from example strings.
One of the most common requests from Rexpy users has been for information regarding how many examples each resulting regular expression matches.
We have now added a few methods …
Continue readingPosted on Thu 26 January 2017 in TDDA • Tagged with tdda, constraints, rexpy
Since the last post, we have extended the reference test functionality
in the Python tdda library.
Major changes (as of version 0.2.5, at the time of writing) include:
ReferenceTest class that has significantly
more functionality from the previous (now deprecated)
WritableTestCase.pytest …