Do you recognize your software testing cognitive biases? How many bugs have you — or your teams — missed that was clearly easy to spot?
Testers approach all phases of testing hampered by their own biases in what to look for, how to set up and execute tests, and how best to interpret the results. Understanding how your biases, preconceived notions, and ability to focus your attention are the keys to managing cognitive bias in test design, test execution, and defect detection. Our guest speaker, Gerie Owen, and our CEO, Philip Lew discussed, among other aspects:
Different types of biases and how they affect our thinking.
How these biases directly impact our testing.
How to recognize these biases and reduce their influence so that we can reduce bugs we miss.
How to design a test approach to effectively manage the way we think during the test process.
About Our Guest Presenter
Gerie Owen has dedicated her career to software testing and improving software testing processes. She is a prominent speaker and writer in the software quality and software testing space. An expert in test-driven development, Gerie manages large, complex projects involving multiple applications, coordinates test teams across multiple time zones, and delivers high-quality projects on time and within budget.
Gerie’s most successful project team wrote, automated, and executed over 80,000 test cases for two suites of Web applications, allowing only one defect to escape into production. With over 25 years of experience, she enjoys training and mentoring new Quality Assurance leads. She is also a Certified Scrum Master and has presented at conferences including Better Software, Belgium Testing Days, CAST, TestKit, and STPCon.
XBOSoft CEO and founder Philip Lew leads the company's strategy, operations and business development. A thought leader in software development and QA and frequent speaker at trade and academic conferences, Phil has worked with hundreds of organizations to assess the quality of their software and improve software quality and processes using systematic methods.