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appium

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appium

Appium Desired Capabilities: What Are They and How to Launch?

Appium desired capabilities can help us modify the behavior of the server during automation. Understanding and learning how to use it is important for app automation testing. In this blog, we will dive into this concept.
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Appium Capabilities: What Are They, and What Are Their Benefits?

Appium capabilities in software testing refer to the configuration settings and options that can be set to control the behavior and characteristics of the Appium framework during mobile app testing. In this article we will take a deeper look into it.
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How to Efficiently Test iOS Apps with Appium on WeTest

To ensure the quality of our iOS Apps during development and testing, we decide to use Jenkins jobs to test it on WeTest cloud devices for every update of our app. After investigating various tools, we use gtest + gmock as the unit test framework and Appium as the UI test framework for the SDK.
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Read More
1AI Testing: The Challenges of AIGC Implementation in the Testing Domain Explore the key challenges of AIGC implementation in the software testing domain. Learn how AIGC impacts testing processes, quality, and efficiency for testers and AI R&D professionals.
2How to Initialize iOS 17 and Above on Windows: A Step-by-Step Guide DISCOVER THE IOS 17 AND ABOVE INITIALIZATION TUTORIAL FOR WINDOWS TO OPTIMIZE YOUR APPLE DEVICE EXPERIENCE ON WINDOWS PLATFORMS.
3Software Basics: What is Continuous Testing in DevOps? Continuous testing in DevOps is one of the essential software testing types, critical for both experienced and new software engineers. In this post, we will discuss how it works and its importance.
4Customized Permission System: Granular Control for Secure, Scalable Testing Workflows in WeTest UDT WeTest UDT provides a highly customizable permission system, enables enterprises to manage their testing environments with ease.
5Optimizing Word Frequency Statistics with Kafka and Spark Streaming In this article, we present an optimized solution using Kafka and Spark Streaming, which significantly reduces the cost of querying large numbers of indexes and improves the timeliness of word frequency updates.
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