QASource Blog

Test automation metrics are the secret weapon of successful QA teams. In fact, the right automation coverage metrics provide an unbiased, deeper understanding of your QA process so that you can identify and fix pain points while improving your team’s performance and efficiency.

QA Metrics have proven to be profoundly beneficial for QA and development teams. They help teams quantify their performance, progress, and quality of work. Our team of expert engineers have designed a checklist of metrics that will help you create an efficient and comprehensive QA process. These fundamentals QA metrics will give an insight into your process and how you should track them.

While automation testing can help streamline your agile development process, it's not a quick fix solution. Truth is, automation testing can work against your best efforts if implemented incorrectly or executed poorly. Since automated testing can be a significant investment for organizations of every size, a confirmation that your team’s resources are allocated appropriately for every stage of every project can go a long way. Is there a clear way to see if automation testing is working for (or against) you?

Blockchain, the technology supporting cryptocurrencies, seems to be the driving technology for the next generation of Internet. Blockchain is a novel solution to the age-old problem of trust. It allows to trust the outputs of the system without trusting any institutional body in between. As techies and experts contemplate the potential ramifications both good and bad, lets talk about more about test automation part of it.

Your test automation approach and metrics should make you feel good about yourself. They are supposed to let you know what is working well within your software development process and what needs improvement. The right approach and metrics will also reassure you that you’ve made the right choice in implementing test automation in the first place.

In the past few years, we have seen a drastic change in technology. During the last decade, many ideas have become a reality. In fact, in 2017, many of these technological innovations became available to the general public, such as humanoids, VPAs, self-driven cars etc. Due to these frequent technological changes and innovations, it is important for SQA companies to stay updated and upgrade their traditional testing techniques. Also, they need to train and help engineers learn new testing skills for a good quality assurance. In this newsletter, QASource has come up with a few forecasts for some trending technologies being used in the industry i.e. AI, IoT, Big Data, and Blockchain and the changes/enhancements required in our current testing techniques.

Focused quality and faster delivery are the two major needs of today's software development industry and many organizations are working hard to maintain these qualities by implementing Agile methodology in their software development process. Further, to support the agile methodology, companies are heading towards the implementation of CI/CD in their SDLC. Our summer newsletter edition explains, the high-level approach and benefits of CI/CD implementation.

Recently, QASource, in conjunction with Sauce Labs, presented "Measuring Your Way to Successful Automation," a webinar during which QASource took a poll of its attendees about their automation metrics. Using the results of this poll, QASource put together an infographic that highlights the many ways metrics can benefit QA teams and testing projects. 

As new set of configurations are released by different vendors from time to time, it becomes important to ensure end user experience is consistent across different platforms/configurations. Additionally, responsive applications are growing in the market which has increased the requirement of testing apps on variety of devices. So this time we have tailored our tool evaluation to support automation of applications on multiple platforms and its responsiveness.