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

3 Ways Artificial Intelligence is Improving Software Quality

Marc Andreessen famously said that software is eating the world. This notion, that every company must become first and foremost a software company, is hardly a radical notion these days. However, even as businesses across industries have invested deeply in their software capabilities, they are now struggling with the complexities of modern software development and … Continued

How AI Enables Teams To “Shift Left” with Software Testing

Software testing is such an integral part of the modern IT industry that sometimes we forget that back in the day, there wasn’t even a specific testing phase of software development. Now, engineers build their entire career on testing software before release, and Quality Assurance has become a key aspect of the development cycle. Consequently, … 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

The Evolution of Fixing Broken Tests

Background and history of debugging The huge growth of web applications over recent years has been accompanied by a growth in automated testing solutions. Many web applications are so complex that without automation they would be impossible to test properly. However, automated tests require constant maintenance and debugging. Indeed, often these tasks end up taking … Continued

AI Software Testing: Machine Learning

Part Two of a Three-Part Series Machine Learning lets testing software extract important features from fuzzy and fast-changing information — exploiting a basic understanding that “everything is data”. Machine learning is at the leading edge of much of today’s most exciting research in AI, data mining, optimization, speech processing, and related fields. And it’s a … Continued

AI Software Testing: Making QA ‘Smarter’

Part One of a Three-Part Series No sci-fi required — Artificial Intelligence — Machine Learning, Machine Vision, and related technologies — can dramatically improve your QA and software testing _today_. (But here’s the catch: reality is both more powerful and way less sexy, than you might think.) Recent blogs and articles — some causing buzz … Continued

Top 4 Benefits of Smoke Testing, and How to Automate

Smoke testing is a preliminary level of testing that ensures all basic components of an application are functioning properly. A smoke test does not penetrate into details of the app, but only tests major functions. The phrase “smoke test” originally came from testing hardware, in which engineers performed quick initial tests to confirm basic, safe … Continued

Marlabs and Functionize Partner Together to Transform Software Testing

PRESS RELEASE Bangalore, India, and Piscataway, NJ, — August 7, 2018 — Marlabs Inc., an award-winning digital solutions provider that enables enterprises to accelerate their digital transformation journey, announced today their partnership with Functionize, the creator of the first autonomous cloud-based testing platform that incorporates AI and machine learning technologies to automate the painstaking software … Continued