Quality assurance (QA) activities are often seen as a necessary yet time-consuming and expensive process. This outlook can often limit the potential and impact of good QA. In reality, QA is not just about finding and fixing bugs; it’s a strategic value-add that can drive innovation, improve product stickiness, accelerate time-to-market, and enhance overall product quality. Yet, finding the balance between a necessary task and strategic impact can be challenging for many organizations.

The modern-day SDLC methodologies such as agile, CI/CD, and DevOps are flexible enough to incorporate change requests in each sprint, which increases the probability of introducing errors in existing functionality. This makes validating existing functionality, detecting newly introduced bugs, and resolving them mandatory in each build release. Whether manual or automated, such software testing is widespread and referred to as regression testing.

Data fabric is an architecture that integrates different data systems and tools. It provides unified access to data stored across various locations to organize, manage, and govern it without moving it to a central database or data warehouse or changing its format. Data fabric relies on metadata to ‘understand’ the data’s structure, lineage, and meaning across various sources. This information enables informed decision-making and optimized data usage.

Over the past two and a half decades, Java has consistently been ranked as one of the top 3 most popular programming languages in the world . As a compiled language, any source code written in Java needs to be translated (i.e., compiled) into machine code before it can be executed.

An IllegalStateException is a runtime exception in Java that is thrown to indicate that a method has been invoked at an illegal or inappropriate time. To use an analogy, invoking a method in Java when the system is not in the appropriate state is like trying to start a car while it is in "Drive". Just as the car will not start because it is unsafe, a method call results in an IllegalStateException when the internal conditions necessary for its execution are not met.

Started in 2009 as a research project at UC Berkeley, Apache Spark transformed how data scientists and engineers work with large data sets, empowering countless organizations to accelerate time-to-value for their analytics activities. Apache Spark is now the most popular engine for distributed data processing at scale, with thousands of companies (including 80% of the Fortune 500) using Spark to support their big data analytics initiatives.

According to the World Health Organization (WHO), Up to 50% of medical errors in primary care stem from administrative issues. There is a projected shortfall of 10 million health workers by 2030. Given the statistics highlighting device errors and a shortage of maintenance professionals exacerbate healthcare challenges, Generative AI in medical devices offers diversified solutions.

A balanced combination of manual and automated testing is the way to go if you want to achieve higher test coverage and efficiency. They cover for each other. Manual testing is easy to learn and do, but it is highly likely to create inconsistent test results, and sometimes it takes a lot of time and effort. On the other hand, automation testing requires a lot of technical expertise to create and maintain scripts, but it checks bugs much faster with higher consistency.

An API allows communication between different systems, and like any other software, it requires clear instructions so developers can use them effectively. Clear and comprehensive API documentation helps developers understand how to use APIs in their applications. API documentation tools simplify creating detailed reference docs, tutorials, and API documentation. These tools assist in documenting REST, SOAP, or GraphQL APIs effectively. They produce comprehensive API docs that support developers.