Systems | Development | Analytics | API | Testing

May 25, 2023, Austin, TX — Testlio, a leader in technology-powered software testing services, announced today that for 30 days across April and May 2023, it ran two experiments using generative AI technologies. These experiments signaled that quality assurance can be better and faster using a combination of expert quality professionals and AI-powered machines. With these findings, Testlio has embraced commercial-grade generative AI capabilities via its software testing platform and services.

Exploratory testing is a testing approach that includes simultaneously learning from/about the system, documenting the steps, executing the test, and reflecting on the results. Since exploratory testing is unstructured and not constrained to a specified collection of test cases, it differs from scripted testing. Instead, using their expertise, creativity, and intuition, testers execute tests that may reveal defects or other issues in the product.

Discover the benefits of automated testing for business leaders and how to realize the full ROI of test automation.

In this article, we are going to take a look at how Backtrace SDK can help to automatically detect and report handled and unhandled exceptions, errors, and crashes that occur in your apps.

We are thrilled to announce the first of many upcoming GPT-enabled features: manual test generation in Atlassian Jira, powered by Generative AI and Katalon TestOps’ integration. This new feature enables Jira users to generate test steps from a single button click within Jira issues.

As technology advances, one thing remains certain among businesses across nearly every industry — data drives competitive advantages. However, combining data from multiple sources to achieve a unified view, known as data integration, is easier said than done, and it requires the right tools, including those that support Postgres ETL. To truly maximize the power of data integration, consider these variables when selecting the best Postgres ETL tool.

Learn how to overcome the complexity of SAP systems to leverage centralized manufacturing data.

Are you looking to streamline your machine learning projects from start to finish? Look no further than MLflow! In this blog, we'll discuss how to use MLflow to manage the entire lifecycle of your ML project – from creating and training models to comparing results and deploying them.