What Does the Future Hold for Test?

By Rob Spiegel

The trends for test and measurement include wide-ranging connectivity. The Internet of Things has exploded, creating a plethora of sensors and connected wireless systems. Add to this the proliferation of digital twins. Another disruption on the horizon is 6G and the world of terahertz frequencies. For test R&D, the future is already here. At National Instruments (NI), test and measurement engineers are working on the everything-connected future from home.

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What is the cost of poor software quality in the U.S.?

By Taylor Armerding

That long-standing cliché is based on the premise that it almost always costs more to fix something built poorly than it does to build it correctly.And if you doubt its credibility, or that it applies to software, check out the latest report from the Consortium for Information & Software Quality (CISQ), in partnership with Synopsys, “The Cost of Poor Software Quality in the U.S.” The short answer: It costs a lot.

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Best performance testing practices

By Ray Parker

Valuating a software or application for its scalability, performance, speed, and stability under varying conditions is important before launching it in the market. An effective performance testing methodology identifies functional discrepancies in an application and ensures it meets the client’s requirements for robustness and responsiveness.

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QA-based testing or developer-based testing?

By Drugeot

Should developers do their own testing or not? In Software Development, developers have a major role as they design, code, and build the software. They are also asked to do ‘white box’ testing, meaning testing the code.They execute Unit Testing (testing individual units of source code to verify if it meets the specifications and behaves as expected) and Integration Testing (testing related programs or units of codes to ensure that multiple parts of the system interact well with other parts of the system).

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QA Increasingly Benefits from AI and Machine Learning

By Erik Fogg

The needle in quality assurance (QA) testing is moving in the direction of increased use of artificial intelligence (AI) and machine learning (ML). However, the integration of AI/ML in the testing process is not across the board. The adoption of advanced technologies still tends to be skewed towards large companies. Some companies have held back, waiting to see if AI met the initial hype as being a disruptor in various industries. However, the growing consensus is that the use of AI benefits the organizations that have implemented it and improves efficiencies.

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4 steps to adopt automation testing strategy for your project

By Nick Ledue

Moving away from manual testing is something which more organizations are doing at the moment, partly because the tools to achieve this are more attainable than ever, and partly to cope with increased workloads and expectations. Having the desire to adopt a strategy for automated testing is one thing, but actually implementing it is quite another. To that end, here are some steps to follow to bring your testing up to scratch through automation.

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