TESTINGCONF – MELBOURNE

Quality assurance has evolved from a reactive testing phase in the SDLC to a proactive and preventative quality engineering approach. This has led to wave of new tools, skills and jobs. Is it really helping build and release quality applications faster though? Are we playing our part to that outcome? Or have we just shifted the problem? Do we need to think and act more like artists in this profession? This is a reflective session that aims to make you ponder, reflect and imagine but all of it leading to better job satisfaction and career growth.

One of the leading global giant Insurance provider went through large transformation program with an objective to deliver fast and reliable quality assessment through test automation and compliant test data management practices to reduce cost of IT change, improve cost cycle time and reduce risk in IT delivery process.

I have put together based on my journey over 8 years, commenced in a large scale Big4 bank of Australia in 2014 and concluding with my most recent delivered large scale Pega implementation at a federal government program. The journey and my transformation Test Approach as part of continuous improvement to achieve delivery of best quality outcomes.

Abstract - WHAT IS FEAR?
• Definition
• Fear of Change
• Fear of Innovation
• Fear of Missing-out
• Fear of Machines
• Fear of Superiority/Authority
• Fear of getting replace

How testing is used to mitigate risks, the use of risks in testing, as well as the risks inherent in testing.

In test-driven development, data is one of the requirements for a successful and thorough test. In order to be able to test all use cases of a given method, object or feature, you need to be able to define multiple sets of data required for the test.
This is where the data factory pattern steps into test-driven development. Data Factory (or factory in short) is a blueprint that allows us to create an object, or a collection of objects, with predefined sets of values.