Systems | Development | Analytics | API | Testing

Testing is a very important and necessary step in the SDLC, but most teams ignore it or don’t care much about it, while some teams spend most of their time on testing instead of building features. AI is really changing the way we write code, but most people use it mainly for writing test cases, and we still end up doing it manually. So in this blog, let’s see what AI testing is, how AI helps in testing our software, what AI tools are available, and which tools help with which part of testing.

Have you ever considered that even with intensive software testing and effort, important software bugs can still get through? The issue, in most cases, isn’t that you didn’t put in enough effort, but that testers evidently lack the knowledge of a proper process to follow. A test script in software testing provides very precise instructions, step by step, to manage tester consistency, use proper test data, and confirm the expected results.

As the automotive industry accelerates toward increasingly connected and autonomous vehicles, the importance of cybersecurity in embedded software development has never been greater. But how should you go about choosing the right programming language for automotive cybersecurity?

‍ Every day, hidden in plain sight, fraud drains hundreds of billions of dollars in the financial world. In fact, in 2023 alone, losses from fraud-related scams and bank schemes reached an estimated USD 485.6 billion globally. For organisations from fintechs to enterprise incumbents, every transaction, API call, and user onboarding step is now a potential battleground.

‍ Think about this: you’re a high-net-worth client logging into your wealth management portal. Instead of a sleek, tailored dashboard, you're greeted by slow loading, opaque fee disclosures, and cryptic charts that require a finance degree to decipher. Frustrating, right? That’s precisely the problem many legacy wealth platforms are saddled with today.

AI has rewritten the rules of software development. Developers can now generate, fix, and ship code in seconds. This is transformative, but as shared by SmartBear CEO Dan Faulkner, “The tools that help us build software are advancing much faster than the tools that ensure we can trust it.” For software quality to keep up with AI coding, today’s tools must evolve to remain effective. SmartBear is answering this call.

PDF documents play a critical role in various industries, serving as the final output for customer-facing documents such as invoices, contracts, and compliance reports. However, testing these documents poses significant challenges due to their complex nature, which includes mixed content, dynamic data, and strict formatting requirements. Manual testing of PDFs is not only time-consuming but also prone to human error, making automation an essential component of a robust testing strategy.