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QA Engineering Roles: Skills, Tools, and Responsibilities in a Testing Team

Altexsoft

The quality assurance engineer is vital to every tech product release. Depending on team size and structure, QA is viewed and utilized differently, but tailored to specific organization needs. Most often, software testing job titles are designated QA (Quality Assurance) or Tester. domain: Healthcare QA.

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The Good and the Bad of Android App Development

Altexsoft

The popularity of an operating system in a given region is just one of many factors that go into deciding what platform to choose for your mobile app. But, when it comes to native development, you usually have to start with one. But, when it comes to native development, you usually have to start with one. Let’s begin.

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Net Core vs.Net Framework: A Complete Comparison

Openxcell

ing systems. The Framework of.Net Core can be used to develop various types of applications like desktop, web, mobile, cloud, Internet of Things, microservices, etc. What are the main benefits of using.Net Core for application development ? Net apps can be developed in C#, F#, or Visual Basic. Why use.Net Core?

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The Good and the Bad of Selenium Test Automation Tool

Altexsoft

Selenium is a suite of open source software testing automation tools that’s become the de facto product in the quality assurance world. The largest chunk of the product’s development is focused on this product. If you want to know more about quality assurance activities, see our comprehensive software testing whitepaper.

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The Good and the Bad of Python Programming Language

Altexsoft

web development, data analysis. machine learning , DevOps and system administration, automated-testing, software prototyping, and. Source: Python Developers Survey 2020 Results. Python uses dynamic typing, which means developers don’t have to declare a variable’s type. many others. How Python is used. Object-oriented.

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IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

Altexsoft

The bad news is, integrating data can become a tedious task, especially when done manually. At the same time, you get rid of the “data silos” problem: When no team or department has a unified view of all data due to fragments being locked in separate databases with limited access. Comparison of data integration tools.

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