Re-Shaping the Test Pyramid

Re-Shaping the Test Pyramid

In this session,​ Jennifer Bonine and Rick Faulise will explore new shifts in testing paradigms. Demonstrate an AI-first​ testing method that integrates with your current manual and automation testing, and understand AI that aids your app teams. Re-think where you want to spend time and money in your testing team in a challenge that plagues most companies of too much to test and too little time.

Cynefin for XPers

Cynefin for XPers

In this talk, Liz introduces the Cynefin framework to help make sense of different types of situations and how to approach them: the obvious ones, the complicated ones which require expertise, the complex ones in which outcomes emerge, and the chaotic ones that we’re usually trying to avoid. Find out how these simple concepts can help us counter our innate human desire for predictability, enabling change and innovation; not just in software development, but in every aspect of our lives.

How Measuring Defect Detection Percentage (DDP) Improves Regression Test Coverage

How Measuring Defect Detection Percentage (DDP) Improves Regression Test Coverage

In this Webinar, we will show you the fundamentals to calculating how effective your team is at finding bugs in your software. Using ServiceNow and Micro Focus ALM to demonstrate, we’ll show you how to automate the flow of information between your ALM and ITSM tools to monitor DDP in real time.

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.