Use of AI in testing digital products is soaring, but human input remains hugely important. Testing managers express concerns about the need to accompany rapidly changing requirements, dealing with unstable testing environments, and insufficient time for adequate testing. This blog lays out the pluses and minuses of integrating AI into test design and testing workflows, and highlights when and where human oversight is required.
The intersection of AI, open source, and test automation is defined by the use of community-driven AI tools to automate, optimize, and scale software testing. Read how open source platforms make advanced AI capabilities accessible, while AI transforms traditional test automation into a smarter, more adaptive process, enabling faster, higher-quality software delivery.
Like any software project or product, the OpenTAP test automation platform benefits from rigorous test and quality assurance (QA) as part of its build and release process. Recently, the OpenTAP.io team spent time with Keysight QA and Release Manager Sebastian Pop-Vlaic, chatting about how the OpenTAP project team and the Keysight organization go about testing OpenTAP.
Open source is a methodology whereby developers collaborate to create and share software, documentation and other artifacts.. Inner source is the application of the same methods but within a single organization. It applies to test automation as it does to other types of software, fostering collaboration, transparency, and shared ownership of testing tools and frameworks.
Wireless network security testing involves evaluating the security measures and protocols of a wireless network to identify vulnerabilities and ensure the network is protected against unauthorized access and attacks. The testing process typically includes several steps and techniques, and so benefit greatly from test automation with OpenTAP
Test automation, like the technology and products it targets, is in a state of constant change.
MarketsAndMarkets reports that the global test automation market size is expected to grow from USD 24.7 billion in 2022 to USD 52.7 billion by 2027, at a CAGR of 16.4%. To accompany the pace of the ever-changing testing landscape, you should be familiar with the latest test automation trends.
This second blog in our series on using OpenTAP for security testing, we take a deep dive into Vulnerability Assessment.
A software vulnerability describes a weakness or flaw in a software system that can be exploited by attackers to compromise the security of the system, its data, or its users. Vulnerabilities can exist in various components of software, including operating systems, drivers, applications, libraries, and firmware.
The concept of Shifting Left has come into vogue to describe moving a process or process stage to occur earlier in a left-to-right timeline. Shifting Left applies to various types of testing, especially tests aimed at improving usability and cybersecurity.
This blog reviews the implications for Shifting Left across various software development models, and highlights the benefit of combining a leftward shift with test automation.
