Accessibility is important to all users of digital products as it helps them use the product without becoming disabled by code that doesn’t consider accessibility requirements. More people are becoming aware of the need for accessibility, and varying laws are being set. One is the European Accessibility Act (EAA), which will come into effect in June 2025, and another is the US Department of Justice revising Title II of the Americans with Disabilities Act (ADA) in April 2024.

Test driven development (TDD) is a software development process and programming methodology in which small, automated tests are written before the actual code. TDD is important because it ensures that code is thoroughly tested, leading to higher-quality software. It is crucial for reducing bugs early in the development process, leading to more reliable and maintainable code over time.

If you’re a developer or QA person, you know the importance of running different performance tests to determine how changes in code could affect performance. This highlights the importance of performance testing in the software development lifecycle. Performance testing measures a system’s overall performance under various conditions, load testing measures its performance under expected user loads, and stress testing evaluates its behavior under extreme conditions to identify breaking points.

Mobile apps are the key to business success, accounting for a quarter of companies’ revenue, according to Kobiton research. However, 75% of companies report that slow app releases cost them over $100,000 annually, making efficient and timely app testing essential. These statistics call for complete native app testing, which involves testing apps built specifically for a certain operating system.

Test automation involves software tools and scripts to execute tests automatically without manual intervention, which accelerates testing cycles, enhances accuracy, and minimizes human errors. Artificial Intelligence (AI) includes machine learning, natural language processing, and computer vision. These systems simulate human intelligence, enabling machines to learn from data, make decisions, and solve problems autonomously.

Software testing that confirms if a system or application satisfies the necessary specifications and business needs is called acceptance testing. It is usually performed at the end of the software development life cycle, after unit testing and integration testing have been completed. The main goal of acceptance testing are to : Instead of the development team, end users, business stakeholders, or customers frequently conduct acceptance testing.

According to recent research, scaling intelligent automation could save the Energy & Utilities industry between $237 billion and $813 billion in operational costs. Despite this immense potential, utility providers still grapple with intense competition, increasingly stringent regulations, and aging infrastructure and workforce challenges. The demand for more affordable and cleaner renewable energy only adds to these pressures.