A few years back, “codeless testing” was interchangeably used with the “record-and-replay” functionality of the automation software. Today, the advancements in codeless testing have widened the gap between the terms and gave them separate and clear meanings in the IT industry. Therefore, it becomes a confusing question when we talk about these two terms today.

In this article, we will focus on what NLP is all about and how it is useful for Smart Test Automation.

If you’ve been a tester for some time, without a doubt you have run into scenarios where you had to write tests to verify the correctness of the implementation of business rules, algorithms or another form of backend logic. To get a fair amount of test coverage, you'll likely need more than a single test case. Data-driven testing helps clean up your tests and make them more effective and maintainable.

Hello, Kong Nation 👋 ! We’ve fashioned a pristine version of the Kong Gateway (OSS) 2.5, which is now available on the normal channels. Read on for more release information.

Mobile test automation is a vital part of the Mobile DevOps cycle. Without it, we can’t deliver mobile apps to our customers. This article will explain how a fastlane plugin for parallelizing iOS UI tests can make your life easier.

SDLC is one of the age-old terms in the software industry. SDLC stands for Software Development Lifecycle and is a methodology that defines various strategies and steps for building high-quality software most efficiently. SDLC is undoubtedly an integral part of most organizations’ development routines.

In this guide to the best Kibana dashboards examples around, we wanted to show you some of the most ingenious ways to use Kibana within your organisation to explore a wide range of ways that data and metrics can be centralised from every corner of your organisation.

In the age of digital transformation, EDI (Electronic Data Exchange) technology is used to create new business information flows that never existed on paper. As the technology grows, companies need to incorporate more than traditional EDI standards. There are country-specific laws (HIPAA, GDPR, etc.), data collection and protection guidelines, privacy laws, business intelligence guides, and more.

Extracting your data from multiple sources and collecting it in a centralized data warehouse is hard enough—but how do you keep it safe once it arrives? Organizations use a variety of data security methods to protect sensitive and confidential information, including share-level security (all users sharing a password) and user-level security (with separate accounts and passwords for each user).