Autonomous Template Recognition

For the last few months, Functionize have been working with one of the largest car manufacturers in the world. The aim of the collaboration is to apply Functionize’s revolutionary AI-based testing approach to automate the testing of in-vehicle infotainment systems. In this blog, we’ll explain why this is such a hard problem and look at … Continued

How NLP Will Drive the Future of Software Testing

As Functionize debuts its NLP feature set, it’s important that our readers understand how natural language processing has been changing our world—and how you soon be able to leverage NLP to further improve automated testing of your software applications. In this article, we look at the challenges of conventional requirements-based testing, recent industry advancements in … Continued

Is QA/Testing Prepared for AI?

For decades Artificial Intelligence has been a dream for researchers and the stuff of dystopian nightmares for the general public. AI has been alternately described as a potential savior of mankind or as the technology that will finally destroy us. When it was released in 1984, The Terminator painted a grim vision of a world … Continued

The Role of the Tester

QA staff members are commonly known as testers, but the role of a tester should go beyond the simple notion of verification testing. The primary responsibility—and passion—should be to contribute to the highest quality of the final product. Quality assurance staff are responsible for verifying that a releasable software product achieves a high level of … Continued

Natural Language Processing: The Future of Test Creation

Test creation is evolving. As legacy challenges persist—and new challenges arise—test creation must become easier and more responsive. Many QA experts agree that the changes presently underway in the software industry-at-large are considerably more volatile than any previous evolution. Except for small, experimental software projects, test creation must evolve because modern application development continues to … Continued

AI Software Testing: No Scripts, Cloud-Based

Part Three of a Three-Part Series AI — Natural Language Processing, Machine Learning, and Machine Vision — enable Functionize to robustly ingest, model, analyze, and reliably emulate human interactions with web applications. Cloud technology helps deliver this intelligence responsively and economically, at scale. The combination of very high-quality, mature, lexical analysis of live web pages … Continued

QA with Zero Engineers Required

SyTrue is a high-tech company specializing in Natural Language Processing (NLP) to abstract vast amounts of unstructured data from medical records for downstream communications and analysis. Having processed over a billion medical records, in multiple formats, SyTrue works with some of the largest healthcare providers and payers in the United States, such as  Humana, Change … Continued