Exploratory testing isn’t new to the world of agile software development, but far too often, it is overlooked and underestimated.
Ross Jackman

Recent Posts
Multi-Tenant Database Architecture and How To Test It
The invention of cloud computing provides many benefits to companies today. A wide range of digital services are now available for use and are easier to manage because of their availability on the cloud.
A Session management vulnerability arises when the tokens used to identify sessions are not securely stored, expired properly or created using poor algorithms. In this case, an attacker can steal a user's session by sniffing the traffic or guessing the token values. This can lead to hijacking of user's accounts and sensitive data theft, which may have implications on business operations.
Software testing methodologies are critical for the success of any software development project. They help to strategize project management and organizational structure and ensure the quality of the final product. There are many different software testing methodologies, each with its own advantages and disadvantages.
The COVID-19 pandemic brought a drastic change in people’s lives and the business world. Even healthcare technology witnessed major advancements like telehealth, virtual medical assistance, and automated medical apps and software. Although, the transformation of the healthcare industry is running successfully, however, protecting compliance regulations is a bit concerning for healthcare organizations. And true to that, healthcare service providers and patients are not exempted from any compliances or regulations.
The rise in adoption of Artificial intelligence-powered applications has led to demand for Quality engineering for AI and Machine learning applications. AI-based systems are non-determinism and provide probabilistic outputs as compared to fixed outputs in traditional software systems. Therefore, Quality assurance for AI applications can’t be effectively achieved through traditional QA methods. The right AI QA strategy requires methods that can evaluate the Model’s accuracy and check variance in results.