Test Impact Analysis is a method of determining which tests are the most important tests to run for a given code change. Launchable uses a branch of Test Impact Analysis known as predictive test selection to allow users to create dynamic subsets of the most important tests for code changes …
I sighed with resignation as I looked at my completely packed calendar. “Quality” work delivered between meetings or after work, juggling email and slack responses while doing so. I had become a highly paid email and task traffic handler - routing tasks than doing them. Anything that took a reasonable …
We had a fun time hanging out with Andrew Turner of the London Test Automation and DevOps group in December. Our topic was The Future of Testing which seemed appropriate as we closed out 2020 and were looking at 2021 and beyond. A couple of things we covered: Data-driven DevOps …
The consumerization of software implies that customers expect well-designed, high-quality software at all times. This means every company is in a race for agility and quality. A survey released by DevOps Research and Assessment and Google Cloud shows that “elite” teams deliver software 200 times more frequently than their peers …
We're passionate about connecting with people to talk about what we are doing at Launchable! Whether you have questions about our technology or just want to critique something about our solution, we welcome your feedback. Since Launchable is based in the US and Japan, staff are online at most hours …
It’s been over a year since I started Launchable, Inc. (Business Insider, DevOps.com). A year since I started serious work on reducing test cycle times. In this live demo, I'll show off the culmination of that work. A simple command-line interface that communicates with the Launchable web service to enable …
Today, I’m happy to announce that the Launchable CLI is now available to beta program participants! At Launchable, we subset, reorder, and record tests to help developers get the most out of their tests and get feedback faster, without much effort. Launchable’s machine learning algorithm allows you to reduce long-running …
The last decade has seen a relentless push to deliver software faster. Automated testing has emerged as one of the most important technologies for scaling DevOps. So much so that companies are investing enormous time and effort to build end-to-end software delivery pipelines with automated testing built-in. High performers are …
If you've ever developed code for real software, you know the pain! Tests never run quickly enough, frequently enough, or reliably enough. We’ve all been there! Slow test cycles are one of the most frustrating things for developers! In this webinar, Harpreet talks about how Launchable’s test automation platform is …
As automated test suites grow in size, it may become impractical to run every test for every change. Because of this, many teams choose to run longer test suites less frequently, delaying crucial feedback for developers. This in turn drives up cycle times because developers only learn about the true …
As I sat down to write this blog, the question that came to my mind is “how does one go about recapping a year like 2020?” The best metaphor I read to describe this year is: We humans aren’t in the same boat, we all are in different boats weathering …
We’re seeing a lot of innovation in the testing space, particularly around applying AI and machine learning to testing. Machine learning in general is a hot topic, albeit a controversial one. It is sometimes viewed as a panacea that can solve all problems. Conversely, some are skeptical about the types …
