Exit criteria in software testing are a set of predefined conditions or requirements that must be met before a software testing phase or software testing project can be considered complete and the software can move on to the next stage of development or release.

From accurately tracking the opening and closing of financial markets to preserving the history of posts and research papers by properly saving the times they were created, edited, and deleted, software engineers must understand how to handle dates and times in their applications. The concept of dates and times is especially important in programming. All programming languages enable developers to manage dates and times in their applications.

We use them to manage users’ log-in sessions, impose time-outs, display dates when content was posted and show the most recent publications to users. This is crucial to a variety of apps, from digital diaries to diet and exercise planners, and onto travel-booking resources. As our user bases become more geographically diverse, so time management gets even more important.

Burp CO2 is a valuable addition to the renowned Burp Suite web proxy and application testing program, accessible via Portswigger. To unlock the capabilities of the CO2 extension, it is essential first to install Burp Suite. This extension is a multifaceted tool designed to enhance specific tasks within web penetration testing.

Building a smart call center app based on generative AI is a promising solution for improving the customer experience and call center efficiency. But developing this app requires overcoming challenges like scalability, costs and audio quality. By building and orchestrating an ML pipeline with MLRun, which includes steps like transcription, masking PII and analysis, data science teams can use LLMs to analyze audio calls from their call centers. In this blog post, we explain how.

The ability to perform custom text analysis in a variety of ways makes our toolset even more comprehensive and user-friendly.

Monetizing an AI-based API can be a strategic decision that holds the potential to drive growth and financial stability for artificial intelligence companies. An API that doubles as an AI tool offers valuable services and capabilities that can be utilized by a diverse range of users and industries.

APIs enable seamless data communication among software applications and digital services, making it one of the most essential backbone of our modern society. Carrying such importance, API testing is always highly recommended to ensure that the API is working as expected. However, APIs may not be fully available to be tested, especially during the earlier stages of development, or when the API providers impose certain access restrictions to their APIs.

Modern applications are expected to be up 24/7, and that puts certain pressure on the performance testing team. One of their goals is to continuously monitor real users’ interactions with the site and develop a performance benchmark based on that information. However, there’s a catch: sometimes real user monitoring doesn't allow you to observe the system's behavior in extreme scenarios (such as sudden spike in traffic or abnormal user behaviors).

Software quality metrics are essential tools that may help you understand and improve many different areas of a testing project if you are in charge of new software development and want to know how to arrange everything properly and evaluate the product's quality before release. A set of performance indicators used to assess the quality of a software product is known as s oftware quality metrics, which indicate what is happening throughout the project by presenting all parts of the process with data.