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The latest News and Information on Software Testing and related technologies.

Maintaining Mobile App Quality at Scale with Mobile App Testing

The success of your mobile app depends not just on how well the application is working at first, but also on its consistent delivery of excellent user experience. Customers today have an extensive range of alternatives in this rapidly evolving & competitive mobile market. Any problem with the application's performance and user experience can lead to users being discontent with the mobile app. This results in users abandoning the application.

Introducing Keploy | Your automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations

Looking for an automated test solution that offers unparalleled accuracy? Meet Keploy, your AI-driven API test engineer. Here's a description for "Introducing Keploy | Your Automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations ".

A Comprehensive Guide to Crowdsourced Beta Testing for Video Games

In the video game development industry, releasing a well-polished and critically acclaimed title is crucial to success. However, even experienced development teams may face unexpected challenges in identifying and resolving issues before the official release. This is why beta testing is so important; it helps developers catch and fix any remaining problems before the game is released to the public.

From Performance Tests to Sanity Tests with JMeter

In this blog post we are going to look at how we can use our performance tests to act as Sanity Test. We have touched upon the subject in one of our blog posts on the hidden benefits or performance testing. This post will however look to provide more detail on the subject and provide guidance on how you can accomplish this. We are not suggesting that you write a set of JMeter tests to act as sanity tests for our application under test as that would not be that beneficial.

Why automated testing is the fastest and safest path to digital transformation

Companies are moving to the cloud faster than ever. Currently, organizations deploy an average of 130 SaaS apps per organization — and this number is growing. According to Gartner, 95% of new apps are expected to be built in the cloud by 2025.

Test Automation in QA

Like many tech endeavors, QA has undergone radical evolution over the past decade, and to keep up with the competition, dev teams are looking toward the future of QA and test automation. Since machines can do low-skill testing, dev teams are looking for expertise and complex skill sets, which means that human testers’ day-to-day responsibilities are changing thanks to automation. In this article, we will discuss test automation, what it is, examples, types of test automation, and uses.

Test Execution: How To Do It Properly

To execute locally, remote, or on-cloud? That is the question. But test execution is more than just “hitting Enter and seeing if it passed or not.” If you are doing it manually, test execution is about performing every single test step as outlined in the test case. For automation testing, test execution takes on another layer of complexity: In which environment should you run the test? Which test cases should you prioritize for execution?

Geolocation Testing: All You Need To Know

You open your Uber app and book a ride. Upon successful booking, a map pops up and shows you the whereabouts of your driver. While in the Uber, you open Zillow, a real estate app, to check out the apartment you want to rent that is located a few kilometers away from your location. The weather app, knowing your location, then sends you a notification to expect rain tomorrow. All of these are examples of the power of geolocation-based app features.

GitTogether | GenAI & Open Source | Kunal Deo

The resurgence of Artificial Intelligence (AI) in recent years owes much to a pivotal moment: the publication of a groundbreaking paper by Google. This event underscores the significant role of Open Source in advancing AI technologies. In this presentation, we delve into how Open Source is not just influencing but also shaping the landscape of Generative AI (GenAI). However, our focus extends beyond the traditional dichotomy of Open Source versus proprietary technologies. Instead, we explore the complementary nature of both realms in fostering the development of the AI ecosystem.