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Software quality assurance (SQA) is a set of methodologies and practices used to deliver high-quality software to end users. QA is not about detecting bugs, but rather focuses on quality as a specific mindset, one that leads to the development of quality software. QA requires constant effort, and from this point of view differs substantially from quality control, a one-time action.

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QUALITY ASSURANCE

Page Object Model with Playwright and TypeScript

Page Object Model (POM) is a design pattern that plays a crucial role in maintaining a structured and organized approach in automated testing, particularly in the context of web application testing.
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Cypress BDD integration for efficient testing

Behavior-driven development (BDD) is a software development methodology that aims to bridge the gap between business stakeholders and technical teams by emphasizing collaboration and communication. It encourages the creation of human-readable scenarios that describe the desired behavior of a system from the user's perspective. In this article, we explore how integrating Cypress with Cucumber and BDD practices can enhance the testing process by promoting better collaboration, understanding, and documentation of application behavior from a user perspective.
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SOFTWARE DEVELOPMENT
QUALITY ASSURANCE

Exploring the potential of Behavior-Driven Development in software quality

In the rapidly evolving landscape of software development methodologies, Behavior-Driven Development (BDD) stands out as a powerful approach that bridges the gap between technical implementation and user expectations. It emerges as a robust methodology that effectively closes the divide between intricate technical implementations and the often elusive realm of user expectations. This article dives into the foundational principles of BDD. It describes the mechanics of BDD and its transformative potential in enhancing the overarching quality of software products.
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QUALITY ASSURANCE
NETWORKS

Network devices benchmarking methodology — RFC 2544 performance testing

Networking devices are complex and characterizing their performance is not easy. One must not judge performance based only on the number and type of ports. On the other hand, the performance figures that can be found in marketing materials may not be conclusive. Therefore, some while ago, the effort was made to create a unified benchmarking methodology to produce reliable, repeatable and comparable results. In this short article we’ll describe the basic performance metrics of networking devices and the methodology used to measure them.
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QUALITY ASSURANCE
NETWORKS

Network Interface Card (NIC) Testing — the optimal environment setup

As we can see in Ethernet Alliance’s 2023 Roadmap, we can now use link speeds up to 400Gb/s. Speeds 800Gb/s and 1.6Tb/s are “in development” and 3.2Tb/s is marked as a “possible future speed” for the 2030s. Compared to 10Mb/s in the 1980s, now we have devices functioning 40,000 times faster! With such acceleration, Jules Verne’s “Around the World in Eighty Days” would be called “Around the World in 2.88 Minutes”. The goal you need to achieve during test environment preparation is that the tested network interface card (also called a NIC, network interface controller, or network adapter) will be a bottleneck in the hardware configuration.
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QUALITY ASSURANCE
SOFTWARE DEVELOPMENT

The PoC concept for software testing automation

Introducing automation into any stage of the software development workflow has great potential. It can be exactly what your team needs to save a lot of time and effort, and, as a result, money. Test automation can arguably be especially beneficial, since covering all the test cases manually is non an optimal use of resources. But choosing the right automation tools for your software testing is not a quick and simple process. Testing tool evaluation without a PoC can take weeks and at the end you might still get a tool with certain limitations that won’t make it the right fit for your project.
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The importance and benefits of unit testing

Ensuring code quality and reliability is critical in the modern software development world. One of the possible solutions to achieving this goal is unit testing. Unit testing involves breaking down software into smaller components or units and subjecting them to rigorous testing. It helps identify bugs and errors early on and provides benefits that significantly enhance the development process. In this article, we delve into the importance of unit testing and explore its various benefits to developers and businesses.
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NETWORKS

iPerf testing — overview and basic use case

iPerf is a versatile and powerful tool that has become essential for network administrators and IT professionals alike. Designed to measure the performance and throughput of a network, iPerf provides valuable insights into network bandwidth capacity, latency, and packet loss. By simulating real-world traffic conditions, iPerf enables users to assess network performance, identify bottlenecks, and optimize their infrastructure. In this article, we explore how iPerf works and delve into a practical use case to understand its effectiveness in network diagnostics and optimization.
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SOFTWARE DEVELOPMENT
QUALITY ASSURANCE

Best practices for Python code quality — linters

When developing and maintaining software, code quality is of paramount importance. Being confident that code is readable and therefore easier to maintain and more efficient not only makes it easier for developers to work together, but also significantly reduces the likelihood of errors. One effective way to maintain high quality and at the same time ease of use is to use Python linter tools. These tools are helpful in ensuring Python code is clean, consistent and error-free, resulting in a streamlined development process and a better final product.
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