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Martin Ivison

Profile picture for user Ivirson

Member for

14 years 1 month

Martin Ivison is a QA practice builder currently working for leading Fintech company GlobalRelay. He is the author of Risk-Driven Agile Testing: A primer on how risk-based thinking drives lean and effective software testing, published in 2017. A former rockstar, now moonlighting as a SciFi writer, he lives and works in Vancouver, BC, Canada.

Company
Global Relay
Job Function
Testing
Job Title
Software Test Manager
Industry
Computer Software - SaaS
Interests
Agile
Architecture
Artificial Intelligence/Machine Learning (AI/ML)
CI/CD and Containerization
Leadership
Measurement & Metrics
Performance Testing
Process Improvement
Software Development
Test Automation
Testing/QA
Country
Canada

Martin Ivison is a QA practice builder currently working for leading Fintech company GlobalRelay. He is the author of Risk-Driven Agile Testing: A primer on how risk-based thinking drives lean and effective software testing, published in 2017. A former rockstar, now moonlighting as a SciFi writer, he lives and works in Vancouver, BC, Canada.

All Articles by Martin Ivison


All Stories by Martin Ivison

Too Much Automation Too Much Test Automation

Test automation can reach a point at which it is no longer supporting organizational goals. Martin Ivison examines four key causes for this unhealthy state and finds out that carefully chosen metrics and a holistic, adaptive, and risk-driven approach go a long way to prevent and remedy this problem.

Pyramid in Egypt Inverting the Test Automation PyramidA growing company was tasked to develop a test automation program from scratch, change its coding practices, and build a continuous testing toolchain. Martin Ivison details how they did it, including realizing that implementing the traditional test pyramid wasn't going to work—it would have to be turned upside down. They found out that small is beautiful, cheap is good, and cultural change matters.
Genghis the robot Behavior-Based Test Automation and the Future of Software Engineering

Behavior-based robots are engineered to be mechanically reactive to input and gradually adapt their actions. What if we could apply this approach to an automated test harness? Are bots independently exploring an application under test and intelligent learning machines analyzing the results the future of software testing?

start, continue, and stop doing signs Teaching the Organization to Learn

When you're done with a project, you record what went well and should be repeated, and what went wrong and should be avoided. But do you ever actually revisit these findings on future projects? If not, you're passing up crucial knowledge. Martin Ivison describes how his organization created a process to learn from past experiences.