How Machine Learning Is Being Used in New Age QA Automation Tools

How Machine Learning Is Being Used in New Age QA Automation Tools

Machine Learning (ML) or artificial intelligence (AI) tools are the hottest topics right now in the testing industry, however, QA managers and manual testers have little to no knowledge about it. Thus, Yarin, the co-founder of TestCraft will go deeply into the details of ML functionality and explain the importance of ML & codeless Selenium – with real examples, statistics, and applications.

The Art and Science of Test Automation

The Art and Science of Test Automation

You can start painting without learning how to draw, but a good artist can tell — just by looking at a painting— if a work of art was done by someone who was an experienced artist, or a novice. Similarly, you can start automation without much training, but an engineer, well versed in automation, can quickly tell whether someone is practiced or not.

Machine Learning and Its Impact to Software Development

Machine Learning and Its Impact to Software Development

The value of machine learning is rooted in its ability to create models that guide future actions and to discover patterns missed by the naked eye. Machine learning methods are vastly superior in analyzing potential customer churn across data from multiple sources such as transactional, social media, and CRM sources.

Entrepreneurship in Software Testing

Entrepreneurship in Software Testing

Are you on your way to be an independent consultant or starting a Software Testing startup? Do you feel it is more like a leap of faith or is it a very calculated step taken only when you are 100% sure of success? In order to succeed, there are some general heuristics that need to be taken care of, irrespective of which business you start but then there are specifics about the nature of business and subject matter involved that hold true for a particular kind of enterprise.

Fine-Tuning your Agile SDLC

Fine-Tuning your Agile SDLC

This session is designed to talk about the agile ceremonies we tend to focus on, show where their long-standing use may result in the wrong outcome, and then recommend ways to fix those tendencies.