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.

Blockchain technology is transforming the way financial transactions are conducted, and it’s playing a crucial role in reducing the gap in financial inclusion. Regulatory challenges, economic underdevelopment, socioeconomic backgrounds, and poor infrastructure have made fundamental and traditional banking services, such as simple bank accounts, inaccessible for as many as 1.7 billion users.

There are a few universal truths modern quality assurance (QA) teams have to acknowledge. While all of these are true, the expectation that QA teams can deliver new and existing bug-free features with aggressive time and cost constraints without support is unrealistic. Additionally, several in-house teams struggle to hire and retain specialized testing expertise.

Artificial intelligence (AI) apps are becoming increasingly crucial for individual customers and businesses alike. These apps bring many benefits, such as task automation, efficient analysis of large data sets, and data-informed decision-making, making AI-powered applications highly valuable. As a result, DevOps teams working on AI apps can’t afford poor performance.

The journey from manual testing to test automation can be daunting, with several potential roadblocks limiting success. Some factors that make this transition challenging include the high upfront costs, limited access to talent, and the need to implement sustainable script maintenance. These factors can be overwhelming and seem at odds with the objective of leveraging automation, which is to relieve pressure from product executives to increase software release velocity, improve efficiency, and cut costs.

Collective (adj): done by people acting as a group. Collective (noun) a cooperative enterprise. What do these definitions tell us about collective testing? In its most basic form, it is a practice where individuals come together to test products, software, or ideas. Beyond that, collective testing is a powerful tool that not only improves the quality of what’s being tested but also fosters a sense of community and shared purpose.

Mobile game testers must consider several aspects when delivering flawless user experiences. Since customers often play across several devices and platforms, consistent experiences aren’t just necessary, they are an expectation. This is what makes mobile game testing different from mobile app testing. Unlike typical apps, mobile game testing is less repeatable and regimented. Unscripted user actions, born out of individual player habits, introduce an element of unpredictability.

Beta testing remains critical for effective software launches despite some common myths. While mounting pressure from executives, consumers, and competitors may make it tempting to rationalize skipping prelaunch tests, the benefits of effective beta tests make it a strategic necessity.

The software testing market continues to grow, with a projected CAGR of five percent through 2027. With growth comes change, and the software testing landscape is poised to see significant changes this year. New technologies, evolving customer expectations, a global audience, and diverse devices are shaping a challenging environment for software quality assurance (QA) teams, who must maintain high quality without slowing down release rollouts or affecting the customer experience.