When organisations calculate the cost of test automation, the licence fee is usually the obvious place to start. But it is rarely the whole story. The real cost builds over time through licensing, maintenance, additional tools, infrastructure and the resources required to keep automation running. Then there is another cost that is harder to quantify:
As the UK strengthens cyber resilience requirements for essential and digital services, organisations need to consider not only how systems are secured, but how they can prove critical software continues to work when change occurs. Cybersecurity is no longer simply about preventing an attack. For organisations providing essential services, resilience also means maintaining the systems,
Self-healing automation frameworks were introduced to address a persistent challenge in test automation: brittle selectors. In large test suites, even minor interface refactoring can cause cascading failures. Identifiers change, attributes shift and structural hierarchies are reorganised without necessarily affecting functional behaviour. Traditional frameworks interpret these structural adjustments as defects, creating maintenance overhead that grows over
We’re all familiar with “Spaghetti Code”: source code that is unstructured, difficult to maintain, and tangled like a bowl of pasta. However, a less discussed but equally damaging phenomenon is plaguing Large-Scale Test Automation and Robotic Process Automation (RPA). We call it “Spaghetti Testing.” Spaghetti Testing occurs when automation suites grow without a unified architecture.
For many years, testing and robotic process automation (RPA) were treated as separate disciplines. Testing focused on validating applications and managing risk. RPA focused on automating repetitive business processes to improve efficiency. Each had its own tools, teams and ways of working. That separation once made sense. Today, it is becoming increasingly difficult to justify. As organisations
Ownership used to feel clear. QA teams planned it, executed it and carried responsibility for quality. Other roles contributed, but accountability was understood. Today, that clarity has shifted. Automation is everywhere, delivery cycles are shorter and responsibility for quality now spans QA, development, operations and the business itself. Testing happens across pipelines, platforms and processes,
New poll results reveal a shift in quality ownership across software teams. Discover what this means for your QA strategy, test automation tools, and how your organisation can plan for better software quality and faster delivery. The QA Ownership Poll: Understanding Quality in Modern Software Teams As software delivery models evolve, organisations are re-examining a key
The promise of continuous testing lies in delivering rapid, reliable feedback that enables development teams to maintain velocity whilst ensuring software quality. However, many organisations discover that their test scripts have become the primary bottleneck in their CI/CD pipelines, transforming what should be an accelerating force into a source of delays, frustration and reduced confidence
The distinction between truly data-driven automation and merely repetitive scripting represents one of the most critical decisions facing modern software development teams. Whilst many organisations believe they’ve implemented sophisticated automation frameworks, closer examination often reveals collections of hard-coded scripts that repeat identical actions with minimal variation. This fundamental misunderstanding not only limits testing effectiveness but
The mobile application landscape has fundamentally transformed how businesses approach quality assurance, with over 1.43 billion mobile devices sold in 2021 alone and more than 2.65 million applications available on Google Play. This explosive growth has created unprecedented challenges for development teams who must ensure their applications perform flawlessly across an increasingly diverse ecosystem of
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