Optimize your software test engineering process and improve your software test quality.
Integration Test
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Integration Testing is the process of combining all software build elements into a product or system for promotion to further Verification or Validation testing.
A majority of organizations have widely varying tests that follow “no standard content” alignment for manual tests and minimal consistency for automation. As an engineering discipline we crave some apples for apples comparison and consistency. To establish some common ground for overall process (and not test content yet), please review this article: https://www.softwaretestingclass.com/how-to-optimize-the-testing-process-and-reduce-development-costs/amp/
Where has the last year gone? It is time again to review yearly trends in software testing! Decent read: intro to top 6 below; I know the suspense for the others will be overwhelming. Geeks2 top-10-software-testing trends 1. IoT Testing - everything is connected. See #6 2. Codeless Automation - is this finally the year for a major shift? History says “no”. 3. Blockchain - follow the $$ 👍🏻 4. Big Data - is this finally the year for gold in big data? Find smart data analytics people yet. 5. Performance Engineering - speed is king 6. Cybersecurity - true #1
Do you need datasets to run against your vision AI software projects? Color detection: Google-512 dataset used with robotic interactions and 11 colors. USC SIPI Image dataset supports research in image processing, image analysis, and machine vision. IMDB Wiki dataset for face detection. CIFAR-10x dataset for image classification.
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