STAREAST 2017 - Test Automation
Wednesday, May 10
World-Class Test Automation: You Can Build It Too
Join Chris Loder as he describes the test automation framework they have created from the ground up at Halogen Software. Chris shares the environment they have put together to run in virtual machines, physical hardware, and mobile devices—with Jenkins keeping track of it all. He explains their use of the keyword driven and page object approaches, and how that has allowed a high rate of automated test case development from all members of the quality team. At Halogen, they run 6,000 unique regression web tests daily—quickly and consistently. Chris shows how they built their automation with...
Seven Fundamentals of a Successful Testing Team
VideoSo you want to build an effective testing team and you’re asking yourself, “Where do I begin?” Greg Paskal, a quality assurance engineer with thirty years of testing experience, shares seven keys to building a successful testing team. Learn the fundamentals every tester should know and how to build on them to achieve an effective manual and automated testing strategy. Greg shares his Minimal Essential Testing Strategy (METS)—coupled with proven experience—to help you build an amazing testing organization. He also provides specific instruction through each, including fundamentals of...
Applying Agile Principles to Test Automation Development
Why do test automation implementations often result in budget and schedule overruns and often diverge from the test objectives they were meant to support? Because test automation is a form of software development—but rarely is treated as such. Lee Barnes discusses how the application of software development practices, specifically agile principles, to test automation efforts helps ensure a reliable and maintainable solution that is closely aligned with both testing AND business objectives. Benefits of incorporating agile practices in test automation development include: increased customer...
Thursday, May 11
Anyone Can Cook—Is the Same True for Test Automation?
Manual testing is becoming less needed as more companies realize the time and money to be saved by automating testing. But let’s face it. Test automation is scary and still new to many QA organizations, many of whom are unclear about where to begin. Do you need a degree or significant development training to write automated tests? What are the programming basics and required tools that a tester needs to know? Leo Laskin answers these questions with data on untrained Selenium and non-technical users and the time it took them to learn Selenium. Discover the programming basics needed to be...
Test Automation at the Speed of Agile: Making It Work Every Build
Join Danny McKeown, Paychex’s lead test enterprise automation architect, to see how a small tools group supports nearly one-hundred agile teams as they move toward achieving continuous delivery. Take part in the conversation to understand how Paychex is progressing in the third year of its agile transformation. Danny describes how this IT-wide initiative has impacted how the tools group supports so many teams and changed its own practices to provide more timely support. With the goal of increasing velocity, a solid automation strategy has become a powerful enabler. Danny describes how...
Be More Effective: Test Automation below the UI
To maintain optimal product quality of large-scale enterprise systems, the regression test suite usually increases in size over time. Whether using automated or manual regression, this brings an additional maintenance and infrastructure cost that tends to get way out of hand, often defeating the purpose of regression suites. Sharing a case study, Ashish Mehta and Sohail Farooqui provide insights into analyzing enterprise application defects with associated gaps in relevancy and effectiveness of an existing regression suite. Ashish and Sohail implemented an automated solution to test...
Improving Accuracy and Confidence in Workload Models
The most critical component in capacity planning and performance engineering is the Workload Model, which defines the workflows, throughputs, and target performance your system must support at peak loads. As critical as it is, it can be difficult and particularly challenging to predict loads for new applications, features, or events. A typical approach starts with a wild-guess worst-case scenario—but overestimates waste time and money, and force you to engineer applications and infrastructure to support unrealistic loads. Low estimates can result in terrible customer experiences, lost...