Both lightweight web applications and complex enterprise software rely on application programming interfaces (APIs), entrusting them with data exchange. However, if an API has bugs or includes some business logic errors, it can significantly compromise...
Quality assurance (QA) isn’t just about testing separate pieces of software code. It’s about building a product that matches your expectations, meets end users’ needs, and is reliable, secure, and stable all at the same time.
Performance testing helps you get lots of insights like how your software handles high loads and large numbers of users.
The average luxury car contains more lines of code than the Boeing 787 Dreamliner, F-35 Joint Strike Fighter, and F-22 Raptor combined. This amount of code is the engine that pushes the automotive industry forward, but it also exposes it to new...
Testing is an inevitable part of creating any software product. But manual testing takes a lot of time and effort and may lead to a delayed product release. Automated testing can help you improve the efficiency of your testing efforts and speed up the...
Application programming interfaces, or APIs, connect the software and services we use by enabling smooth data exchange. Often, they exchange highly sensitive information: personal data, user credentials, financial details, etc. That’s why APIs are...
Embedded software is a popular target for hacking, since embedded systems are present in almost all modern devices. Securing embedded software requires expert development skills, as embedded devices are severely limited in the amount of code they can...
Cross-browser testing ensures a proper user experience across various devices, operating systems, and browsers so that users always see a web application the right way and you won’t lose customers because of page layout errors.
Man-in-the-middle (MITM) attacks are a serious cybersecurity issue, especially in the IoT field where attackers use them to break into networks and intercept data. Both individual users and companies can be vulnerable to such attacks, since we all use...
Quality assurance (QA) specialists often have to perform a large number of tests on a product in a short amount of time. The active development of test automation today is a direct consequence of the acceleration of testing processes and the need to...
The API layer is one of the essential software components of any application. It connects a client to a server, combines microservices, and allows services and products to communicate with each other. This is why it’s crucial to pay attention to API...
The future is already here. Robotic innovations can easily handle difficult tasks and make our lives more comfortable. Even in software development and testing, robots can automate many activities.
Healthcare organizations are among the most frequently breached by cyberattacks, and the number of cybersecurity incidents is growing by the year. The Verizon 2020 Data Breach Investigation Report records 512 healthcare breaches in 2019 compared to 304...
Code coverage is one of the most common metrics that helps software developers and quality assurance (QA) specialists assess testing efficiency. Evaluating code coverage helps you determine testing completeness, identify unnecessary code, and detect...
Finding the right balance between software quality and the release date is one of the most significant challenges in software development. While software testing ensures your product meets all customer requirements, addressing each product risk with a...
Contrary to popular opinion, software testing exists not only to detect bugs. Its major goal is to provide information on the performance of the tested solution. This information helps the development team better understand the behavior of their product...
Risk assessment is part of a holistic approach to cybersecurity and a requirement of many IT standards. Penetration testing is one of the most common (and often required) ways to assess cybersecurity risks. It’s hard to underestimate the role of...
While many software development companies can develop a ready-to-use solution based on your request, not all of them can ensure robust security and therefore high product quality.
When it comes to artificial intelligence (AI) projects, quality assurance is essential. However, there’s a difference between testing in AI projects and in other software projects.
Testing a software application without a well-planned strategy is like trying to find your way out of a dark forest with no map and no flashlight — your chance of success is close to zero. When it comes to blockchain application testing, dedicating...

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