Releasing software is often a sequence of repetitive activities, including critical quality gates to assure the right version, configuration, and scope are deployable and releasable. In those critical moments, we want our release quality and risks to be predictable against expected outcomes and behaviors – we want to mitigate any potential risks associated with new changes.

Finding a bug is one thing, but documenting it is just as important, if not more so. That’s why we want to share how to write the ideal bug report. We’ll also share a list of the seven items in the Testlio bug report template. Bug reporting demonstrates a development issue and gives your developers a place to start fixing it.

In February 2024, approximately 89,000 mobile apps were released via the Apple App and Google Play stores—37,000 and 52,000, respectively. That’s about 3,100 mobile apps per day, and that’s not even counting the apps released via other platforms. App consumers know they have options, and if your app isn’t cutting it for them, they can simply delete it and find a better one—which means you can’t afford to scrimp on app quality assurance.

We all understand that software quality is a critical aspect of modern software development. There are countless metrics that can be tracked, business value that can be attributed to the quality of software, and cautionary tales in news cycles driven by critical issues that make their way to production. Yet, in many cases, organizations still fail to define and implement a quality strategy.

Without payment gateway testing, you risk cart abandonment, over or underpayments, penalties, and increased customer support costs. These risks occur when web or mobile app payment transactions run into issues. To avoid these issues, online retailers should create test cases, conduct periodic checks, and update their processes to ensure the system’s integrity. From functional testing to usability testing, there are many ways to test payment processing.

Just shy of a year ago and coinciding with the Atlassian Team ‘23 conference, Testlio unveiled an initiative to help product teams adopt signal-driven testing as a core pillar of the future of software quality engineering. A lot of exciting things have happened and continue to happen since that announcement, which collectively serves as validation of the opportunity for product teams to dramatically improve test coverage efficiency through signal-driven testing.

Thorough software testing aims to identify and resolve potential issues before they impact users, ensuring a high-quality user experience. However, optimal testing levels can be hard to achieve for most quality assurance (QA) teams. An optimal testing level requires balancing testing thoroughness, coverage, and speed with resource allocation.

Measuring the success of quality assurance (QA) and software testing can be a complex task that requires going beyond surface metrics. It’s a nuanced process that needs an in-depth understanding of how every decision and action your team takes translates into tangible benefits for the product, the team, and, ultimately, the end-users. However, with so many data points available, identifying which metrics truly matter can feel like finding a needle in a haystack.

Ready to write functional test cases that testers can action on and that, combined, thoroughly cover the product? Let’s first define functional software testing. Broadly, functional software testing is defined as a type of black-box testing method that focuses on the functionality of a software product. Functional testing is designed to ensure a web or mobile software application meets its requirements and specifications by executing test cases from the user’s perspective.