You may remember that MATLAB can generate code coverage information in the Cobertura format now. Been able to since R2017b. This is great since this allows us to leverage a richer ecosystem of capabilities and tools that are out there. ... read more >>

Wow folks, its been a long time! I feel like I am an old friend returning from traveling on a long epic adventure. Just call me Bilbo, although sadly I would make for a very poor hobbit given I am about as tall as Kobe Bryant and am missing the... read more >>

Coverage. It's all good. Health care coverage is good. Cell phone coverage is good. Even cloud coverage can provide a nice break from the intensity of the sun's rays sometimes. It should come then as no surprise that good code coverage also gives us that nice warm fuzzy feeling, like... read more >>

Hi folks, it's been a long time! Thanks for your patience as we have a lot of great incubating topics to discuss on the blog. Today I am excited to introduce David Hruska, who is the lead developer on an exciting new mocking framework that is part of MATLAB as... read more >>

Hi all, if you haven't seen it already, I wanted to make sure you were aware of some of the great testing related posts that Guy & Ajay have been up to lately. So for now they have two posts up and running, the first demonstrates writing a test to... read more >>

Here is Stephen Carter once again to describe an exciting feature in R2016b for test result analysis, reporting, and archiving. Take it away Stephen!... read more >>

For today's blog entry I'd like to introduce Stephen Carter. Stephen is an engineer on the MATLAB Test Frameworks team and has been involved in many exciting new features over the past few releases (and he continues working on more to come!). Stephen was excited to write a post or... read more >>

Today it is my pleasure to introduce my MathWorks colleague Anoush Najarian. Anoush is an engineering manager on the MATLAB performance team and she has been instrumental in many great projects such as the performance testing framework we have been blogging about as well as the significant performance improvements with... read more >>

OK, I had way too much fun writing that last blog post exploring algorithmic scaling. I want to explore this a bit more with a some "real" code, and what is more real than a function to calculate the lovely fibonacci number, the darling of interview questions, algorithms classes, and... read more >>

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 was amazed when I learned of this one weird trick to measure the complexity of my algorithms.... read more >>