BING WU – TL Manager, Software QA, TransLink
A JOURNEY TO ADOPT TEST AUTOMATION AND AGILE PROCESSES IN QA
The journey toward test automation and digital transformation in an enterprise involves preparing for the change, overcoming expected difficulties, and establishing a foundation and mindset that is conducive to these changes. Once this foundation is in place, businesses can leverage them to achieve greater speed and success in the development process.
- From manual to automated test
- From destructive to building and built-in
- From digitalization to digital transformation
- From waterfall to agile and then DevOps
MARTIN IVISON – Software Test Manager, Global Relay
TESTING CLOSER TO THE CODE
Agile, DevOps, CI/CD—all of these require that we shorten our feedback loops and test closer to the code. But how do we do this? In this talk, we will discuss the concepts of narrow integration testing with mocks, contract testing, micro-benchmarking for performance, and, importantly, how testers need to break the unit testing barrier.
DANIELLE EDWARDS DOS SANTOS – Chief information officer (CIO), Catwalk Plus
DIVERSITY AND INCLUSION: A REALISTIC APPROACH FOR SOFTWARE TESTING
Regulations are the future of software as government and public perception demand corporations to act with more due diligence approach. AI also brings new ethical issues that regulators must endorse and amplify the regulations pool. Diversity and inclusion are not only a trend, but a reality, and building scenarios with diversity personas is a great tool to prevent edge cases and overall frustration (and losses!) with the people that use software.
BHARGAV GARLAPATI – Senior Automation QA Engineer & QA Prime, Telus Digital
GETTING STARTED WITH YOUR FIRST AUTOMATION SCRIPT USING CYPRESS
In this talk, we will cover the following topics:
- Write your first automation script using Cypress.
- Configuring your GitHub Actions workflow YAML file to run tests on CI/CD.
- Setting up your project to run tests on multiple test environments.
- Passing and consuming secrets in tests, both locally and on the pipeline.
LESLIE BROOKS – Consultant, The BDD Coach
IN-SPRINT TEST AUTOMATION – DELIVER EARLY FOR MAXIMUM VALUE
Delivering test automation in-sprint – before the developers finish writing the code – delivers far more value than test automation delivered later. Delivering in-sprint lets the developers run all of the tests before they open a pull request, so they find and fix the bugs before QA ever gets the code. This is a win-win-win – it significantly improves developer and QA efficiency and delivers new features faster with fewer bugs, making the product owner and the customers happier too!
ZESHAN AHMAD – QA Manager/Lead, ZA Technologies Inc.
TEST AUTOMATION: ADDRESSING CHALLENGES IN ERP TESTING
Enterprise Resource Planning (ERP) systems play a vital role in streamlining business processes, enhancing operational efficiency, and enabling informed decision-making. However, testing these complex systems poses significant challenges due to their size, intricacy, and interconnectedness. Manual testing approaches are time-consuming, error-prone, and cost-intensive.
VIPUL GOYAL – Heading Product Engineering, Direct Clients
EFFECTIVE SCALABILITY OF TEST AUTOMATION
Building a robust and scalable test automation framework, not only focuses on designing automation harnesses rather seamlessly adapting to growing testing needs, accommodating new features and functionalities, and handling an increasing number of test cases and environments.
This discussion aims to empower organizations to optimize their testing efforts, enhance efficiency, and maintain the highest level of software quality as their projects and applications evolve over time.
JASON SOLIVEN – Principal Consultant, Zenith Point Consulting
VERITAS MACHINA – WHERE A.I.AND MACHINE LEARNING MET US ON THE ROAD TO TEST AUTOMATION
A.I. and Machine Learning is in today’s Zeitgeist. But how does this impact our world of test automation. Is this another datapoint on the elimination of manual testing and testers? This talk will explore those questions and tell the story of how our team was able to leverage A.I and Machine learning for our testing teams and projects.
