Skip to main content

Machine Learning Is Being Used To Automatically Test New Software

Izzy Azeri and Dan Belcher got together to develop Stack driver a few years ago. Stack driver was a cloud monitoring solution and it was acquired by Google in 2014. While working with Google, integrating Stack driver with Google’s cloud platform, they found that the process of writing new pieces of code and integrating it with an already existing code base has become very fast now. However, the bottleneck is the testing part, which makes the entire process slow. This is where they got the idea to automate the testing process, and decided to use machine learning for the same.

Mabl

After spending sometime at Google, the two got together to found Mabl, a tool based on machine learning which makes functional testing as easy as possible for the developers. Mabl goes through the code and automatically detects which part of the code does what. This means, every time the developers make a minor modification to the code, they don’t have to write extensive tests by hand. Mabl automatically scans your website and looks for the potential sources of error. You can train Mabl by walking it through a possible scenario, and Mabl automatically understands which part of the code is supposed to do what. So next time you make a change to the website, as long as Mabl identifies the button, it will perform the test by itself and let you know if everything went accordingly or not. Mabl has also developed a chrome plugin, which can be used to test the functionality of a webpage.

Mabl is presently a crew of 20 members and they are offering free service to the developers in the preview period. Mabl is thinking about monetizing their services, by charging the developers based on the number of testings they do. However, they still haven’t figured out the details and the revenue model is still to be decided.

The founders of Mabl said that it was difficult for them to arrange for funding for their first start up, Stackdriver. However, this time it was fairly easy to arrange for funding for Mabl. CRV wanted to invest in Stackdriver but missed out and Stackdriver got sucked into Google. This time, the CEO of CRV, Murat Bicer, did not miss the opportunity and invested in Mabl very early on. He is now on the board of directors of Mabl. Mabl has raise $10 million in funding from CRV and Amplify partners.

Clients

Mabl is already running on the Google cloud platform. Google makes heavy use of this tool in the development of several of their products. Some other companies which are using Mabl for software testing are RunKeeper, 24G and Codeship. Codeship CEO says that using Mabl has freed time a lot of time for its developers as they don’t have to think about testing anymore. The developers keep making changes to the code and Mabl automatically tells them if the code is broken or not. This makes it faster for them to fix the error and then move on.

Join Machine Learning courses with Python and after that you will be having many jobs in the future.

Machine Learning Deployment - House Price Prediction - Machine Learning Tutorials

Data Science Tutorials - Python for Data Science Module 1- Part 1


Comments

Popular posts from this blog

Improve Your Computer’s Technology And Expand Your Company!

The world today has become a world run by machines and technologies. There is almost no human on Earth who can complete his or her work or do any job without using a type of device. We need the help of computers and laptops for our daily professional practice and career, and we use the laptop or computer systems for even playing games or to communicate with our extended family members. We are so dependent on our computers and mobile phones that any improvement in either one’s technological features makes us upgrade to the newest version. With this increased dependency, the new way of making the computer systems and other machines fully capable of keeping up with our demands, we have needed to make the tools to work and complete tasks independently, without human intervention. The invention and introduction of Artificial Intelligence have dramatically helped us to make our machines work better, and with their self-learning techniques, the devices are now able to think about ...

AI in invoice receipt processing

Artificial Intelligence (AI) is improving our lives, making everything more intelligent, better, and faster. Yet, has the Artificial Intelligence class module disturbed your records payable cycles? Indeed, without a doubt !! Robotized Invoice handling utilizing Artificial Intelligence training is an exceptionally entrancing region in the records payable cycle with critical advantages. Artificial Intelligence Course Introduction. Current Challenges in Invoice Processing Numerous receipt information directs driving toward blunders: Large associations get solicitations from different providers through various channels such as organized XML archives from Electronic Data Interchange (EDI), PDFs, and picture records through email, and progressively seldom as printed copy reports. It requires a ton of investment and manual work to have this large number of various sorts of solicitations into the bound-together framework. The blunder-inclined information passage occurring toward the beginni...

Unveiling the Power of Machine Learning: Top Use-Cases and Algorithms

In today's rapidly evolving technological landscape, machine learning has emerged as a revolutionary force, transforming the way we approach problem-solving across various industries. Harnessing the capabilities of algorithms and advanced data analysis, machine learning has become an indispensable tool. As businesses strive to stay ahead in the competitive race, individuals are seeking to enhance their skills through educational avenues like the Machine Learning Training Course. In this blog post, we will delve into the top machine learning use-cases and algorithms that are shaping the future of industries worldwide. Predictive Analytics One of the most prevalent and impactful applications of machine learning is predictive analytics. This use-case involves leveraging historical data to make predictions about future trends and outcomes. From financial markets to healthcare, predictive analytics assists in making informed decisions and mitigating risks. For instance, in finance, mac...