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Enhancing the Value of Black box Testing with AI Test Automation
Black Box Testing, also known as functional testing or behavioral testing, requires the testers to evaluate the functionality and usability of the software without delving deeper into the details of the code. Black box testing verifies and validates the functionality of the software... READ MORE
Managing QA Cost By Adopting Intelligent Test Automation
The current IT landscape demands faster time to market with a high level of customer satisfaction, but in a cost-efficient manner. Needless to say, software testing becomes a critical activity to accelerate releases. Test automation has helped in achieving this... READ MORE
Top 5 API Testing Challenges Solved With AI
API aka Application programming interface connects various layers of a software application and enables the communication between them. A typical software application has three layers: The presentation layer, Business layer, and Database layer. APIs work within the gamut of the... READ MORE
10 Ways To Accelerate DevOps With AI
Software programming has evolved over the decades and consequently, testing, which is an integral part of software development, has also undergone a series of changes. It all started with ad-hoc testing by developers and testers, traversing through the era of... READ MORE
Will AI Completely Eliminate Human Involvement In Testing?
The rise of the machines in the testing arena Artificial Intelligence started in the 1950s, picked up pace steadily, braved the AI winters, and now, it is omnipresent in different fields like defense, medicine, engineering, software development, data analytics, etc. ... READ MORE
Test Failure Analysis With AI-Critical To DevOps
Software testing is an extremely important process to ensure that all quality requirements are met before any application is released in the market. With DevOps, the release cycles have become shorter, but expectations are still the same, i.e. high-quality end... READ MORE
Intelligent Analytics with AI testing
Product lifecycle and quality fluctuations In the world of agile development, maintaining high levels of quality can become a major headache, due to its incremental and iterative approach. There are times when a time crunch may lead to certain compromises... READ MORE
Challenges in AI Testing
The term artificial intelligence was coined in the year 1956 at a conference at Dartmouth College, New Hampshire. Since then AI has seen certain ebbs, aka AI winters. It has been around for decades, slowly evolving. The recent surge in... READ MORE
Benefits of Intelligent Automation
Artificial Intelligence is a technique that enables a computer system to exhibit cognitive abilities and emulate human behavior based on pattern recognition, analysis, and learning derived from available data with the aid of predetermined rules and algorithms. Machine learning and... READ MORE
Busting Automation Myths
History, as we know it, is riddled with myths and legends. Over the years, many of them were debunked by science or for the lack of substantial evidence. In a similar fashion software testing has evolved over decades. Every new... READ MORE
Artificial Intelligence and QA: Hype from reality
Artificial Intelligence (AI) is at the peak of inflated expectations in the Hype Cycle.  There is a law called Amara’s law that states “We tend to overestimate the effect of a technology in the short run and underestimate the effect in... READ MORE

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