Vector Software releases VectorCAST 6.3

Feb. 24, 2015

Vector Software, a provider of innovative software solutions for robust embedded software quality, today announced the release of the VectorCAST 6.3 embedded test suite for Internet of Things (IoT) and machine-to-machine (M2M) applications.

Version 6.3 provides a new micro harness architecture designed for the smaller microprocessors and limited resources often available in IoT and M2M applications. Analysts are projecting IoT and M2M markets to grow into a $71 billion industry by 2018 (Juniper Research, “Smart Home Ecosystems & the Internet of Things,” 12/02/2014). With billions of newly connected devices going on line, high quality software is essential for these devices to operate as intended.

“The coming growth of IoT and M2M will take a slice of intelligence out of the cloud and push it back to the periphery of the network,” said John Paliotta, chief technology officer, Vector Software. “As this evolves, the correct autonomous operation of those network end points will be critical. We feel that VectorCAST is uniquely positioned to help developers build quality into IoT and M2M applications.”

Beyond the new harness architecture, VectorCAST 6.3 provides several other enhancements for test collaboration, change-based testing (CBT), and massively parallel testing. These features make it simple for teams to leverage test cases and test results across the enterprise. Each developer can quickly and independently test their code changes by running only those tests affected by the source code changes made; this leads to improved software quality with reduced test cycle times.

As tests are integrated together into suites, an enhanced integration with the open-source continuous integration server Jenkins provides VectorCAST 6.3 users the ability to deploy massively parallel testing over hundreds of servers.

https://www.vectorcast.com/vectorcast-63

About the Author

Rick Nelson | Contributing Editor

Rick is currently Contributing Technical Editor. He was Executive Editor for EE in 2011-2018. Previously he served on several publications, including EDN and Vision Systems Design, and has received awards for signed editorials from the American Society of Business Publication Editors. He began as a design engineer at General Electric and Litton Industries and earned a BSEE degree from Penn State.

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