To scale or not to scale. That is the question. When talking about algorithmic complexity, the answer to said question is usually an important one. No matter what the constant factors are that affect your algorithm's speed, poor scaling performance severely limits the scope of the problems you can solve. How do you measure your code's runtime complexity? If you don't have a good method for this (or even if you do!) then once again the performance testing framework is on your side. I wasamazedwhen I learned of thisone weird trickto measure the complexity of my algorithms....read more >>

We sawlast timehow we can use the performance testing framework to easily see the runtime differences between multiple competing algorithms. This can be done without needing to learn about the philosophies and guiding principles of the framework, indeed you don't even need to know that you are using a performance test framework or that the script you are writing is actually even considered a "test"....read more >>

Have you ever wondered how to compare the relative speed of two snippets of MATLAB code? Who am I kidding? Of course, we all have. I am just as sure that you already have a solution for this. I know...read more >>

There are so many cool features in 2016a. Live Scripts are huge. The App Designer is a game changer. The language and environment keeps moving ahead with many exciting features.Unfortunately I...read more >>

Ajay Puvvala is my friend and colleague at the MathWorks. He also led the development of the TestTags feature we spoke about last post.Ajay, as per usual, made a great comment after last week's...read more >>

I have found that with any reasonably sized software project, sooner or later organization becomes important. As additional features and capabilities are introduced into a toolbox it becomes...read more >>

I once faced a question from a friend who was perusing MATLAB documentation while implementing a test suite for some production software and found an example test which used the addTeardown method...read more >>

OK, so remember how we just went through the exercise (not justonce, buttwice) of how you can write a function to help parallelize your test runs? Well all of that still applies if you have not yet upgraded to MATLAB R2015a. However, if you do have R2015a you now get this out of the box because the TestRunner now has arunInParallelmethod!...read more >>

Last timewe showed that using a simple parfor loop we could reduce the runtime of a representative test suite from 6 to 7 minutes (when run serially) down to a minute and a half. However, we still faced some problems:...read more >>

ContentsThe Test SuiteInto the PoolWhen I am neck deep in hardcore TDD Red-Green-Refactor cycles I am constantly looking for ways to ensure that my feedback loop is as quick as possible. If the...read more >>