Engineers in test and measurement need purpose-built tools. General-purpose software and programming languages are widely accessible yet are limited in their abilities to meet the complexities involved with building physical test systems and acquiring test data.
Test and measurement applications are unique and challenging to develop. They must interact with the real world, which presents complexities that developers in other application areas will never encounter. These applications must acquire data from multiple synchronized sources, analyze that data using specialist algorithms, run parallel processes, and then be deployed to remote systems. To meet these challenges, engineers need development software that delivers domain-specific solutions to each of these requirements while achieving project delivery deadlines.
Every test and measurement application has the same goal: acquire data that confirms the correct product functionality. This process presents the first challenge: correctly connecting to multiple instruments and devices to acquire signals. In its simplest form, this process relies on instrument drivers that stream data over communication buses such as PCI, USB, or serial. Vendors typically provide these drivers, but without high-quality support for the development environment, automating instruments and measurements becomes difficult. Many applications also need to handle multiple channels and signal types, including conditioned analog I/O, digital signals, communication buses, and RF. These channels will have a time dependency between them—meaning that signal timing, triggering, and synchronization can become as important as the acquisition itself. In these situations, the software must have access to the entire system, not siloed to one instrument at a time.
After data is acquired, it must be processed and displayed in a way that an engineer can use it to derive product insight or influence an action. Data from different devices often enters an application at different rates, so it must be continuously processed and stored to maintain integrity.
This data also often needs to be shown to the user for real-time monitoring—a requirement that means that test and measurement applications usually require sperate actors or operations running in parallel, often with some dependency between them. These applications are difficult to build in environments designed for sequential or offline processing, so efficient development requires one optimized for parallel execution.
Measurements are run as part of an automated sequence that is usually deployed to a target separate from the development machine. This machine could be a remote PC, the controller on a test rack, a real-time target, or even an embedded target like an FPGA. These deployments often include multiple stations and can be in remote or international locations. Software development does not end at deployment. Because test and measurement applications are often used for many years, automated measurement sequences must be updated, maintained, and refactored over time.
This requirement means that software must be architected in an editable, scalable, and remotely accessible/deployable way to minimize downtime and prevent mismatched configurations that could result in costly retests and escapes. Teams must also manage data collection and storage so that it is consistent and accessible across design, quality and production groups. Without careful management of system deployment and lifecycle considerations, organizations often face a significant operational burden.
Many software development tools and languages are available, and those with the broadest appeal often have the largest user bases. However, they are not well suited to the demands of test and measurement applications.
Languages like C and Python have different strengths—their ecosystem of open-source libraries, availability of talent and ecosystem of dev-ops tools make them appealing. But beyond the familiar syntax, they are not best suited to test and measurement applications.
You need capable, reliable software focused on solving the challenges of test and measurement applications. Rather than spending time building your own augmentations to a general-purpose foundation, adopting a test-specific software toolchain can free up a lot of your time to instead focus on more valuable, product-focused tasks such as adding new capabilities and ensuring quality for your customers.
Purpose-built for test and measurement applications, NI software is a productive and comprehensive toolchain for test and measurement. Our developers have created a set of tools that accelerate your productivity as test engineer, provide flexibility to meet evolving requirements, and promote effective collaboration.
NI software was designed with the specific needs of test engineers in mind. By choosing specialist software, it has been shown that engineers can be more than 50 percent more productive than using general-purpose tools as each task is performed more quickly and efficiently. Across a project, engineering teams can save thousands of hours, worth millions of dollars, by using tools optimized for test. NI tools deliver this speed and efficiency in many ways, including the following benefits:
Test and measurement applications are accelerating in complexity, driven by the rapid evolution of products and technologies entering the market. Software choice impacts both the short- and long-term abilities of a development team. Static or misaligned software will become limiting over time and slowly strangle a team’s productivity as requirements change.
NI software has a proven track record or leading the way in test technology, allowing engineers to use the platform to build not just products, but careers! Engineers using NI software are confident they can keep pace with these future requirements due to the open, adaptable architecture of the platform they use, with benefits including:
Test and measurement engineers work best when they can collaborate. This can be a challenge for many; the role can be considered niche within organizations dominated by design engineering. Test teams are also frequently spread across different locations, which can make it harder for engineers to get the support they need. NI software is designed with collaboration in mind, with sharing and tagging functionality, remote management capabilities, modern dev ops workflows and an active user community. NI software users are never working alone, contributing together toward:
NI software provides a productive, connected toolchain for test and measurement application development, helping teams work quickly and efficiently across tasks. Unlike general-purpose tools, NI software is optimized for test and is aligned to the specific needs and challenges of test engineers. With Nigel AI and a global community of tens of thousands of engineers with deep test expertise, NI software gives test teams the support they need to succeed.
MathWorks® and MATLAB® are registered trademarks of The MathWorks, Inc.