Sentence examples for testing more efficient from inspiring English sources

These activities signal a new era of agile development — one that reconciles IT and developer interests, capitalizing on containers and open source to make development and testing more efficient, powerful and collaborative.

In Part 4 of our eight-part video series, we look at how digital simulation technologies like finite element analysis (FEA) make product testing more efficient and cost-effective in both short- and long-term contexts.

Tech innovation is needed to make this testing more efficient, and testing needs to be enabled on-site, at the farm, rather than having to always send it to a lab for testing.

A faster feedback loop means tighter testing, more efficient development and production, and ultimately, increased user satisfaction and growth.

Alternative approaches with simpler (non-model-based) scoring functions [ 10] are handicapped by the need to do expensive permutation-based statistical testing to evaluate the significance of alignments, and although recent advances have made this testing more efficient [ 15], it still scales linearly with genome size.

Understanding the extent to which theses parameters might affect the SWCT test profiles could help us to manage and design the SWCT test more efficient at different reservoir conditions.

But if you move to precision testing, scriptless testing and more efficient testing — if you're really ready to make testing the catalyst for digital transformation and help realize the true potential of technological innovation — you're building a runway.

Laser luminary: Federico Capasso, a physicist at Harvard University, pictured with equipment used in testing a more efficient laser that doesn't require lenses and mirrors.

The data helps researchers analyze whether the devices and processes being tested are more efficient than those used in conventional operating rooms.

Bacterial removal through lotus leaf effect was also tested, being more efficient on H coupons than on SH PLLA ones.

Although we have not tested the more efficient tools currently available, and although the performance of SPARQL query engines [28] and machine reasoners [29] continue to improve, we can see that chemical similarity searches that rely solely on existing Semantic Web tools are possible, but may be problematic for very large chemical knowledge bases.