STAREAST 2023 - Agile Testing

Everyone is focused on data and metrics to make major decisions. When it comes to software quality, KPI metrics can become a myth. Sometimes it works, sometimes you miss it. KPI metrics help determine the health of the product, as well as provide guidance for continuous improvement. In this session, Lisette will share what KPI have worked based on her experiences, and discuss how you can determine what KPI will work for your organization. Key takeaways from this session include:

You have read the books, purchased your tools, containerized your apps, moved to the cloud, and automated your development pipelines. Awesome! Surely you are going to knock this transformation out of the park! But that's not enough. There are several principles you need to consider. It is the combination of tools and technologies, people, and principles combined that make a digital engineering successful. Let’s discuss the principles for technical agility and how to apply a test-first mindset. These principles will help attendees build the foundation for successful digital engineering...

Most startups are working within tight budgets and timelines. Getting the product working and out the door is the main goal, while quality tends to fall by the wayside. This can cause a backlog in needed testing, automation, and even added tech debt. Even when QA exists, there is often a “throw it over the wall” mentality. In order to tackle this issue early on at Highlight, we focused on a Whole Team Quality approach of software development. By looking at everything through a lens of quality, including business requirements, it has helped to ensure that we are releasing high...

Artificial intelligence is the newest trend in software testing. But what is it, and how will it impact the tester's role, both today and in the future? What do you need to do to embrace this emerging technology? Tariq King will moderate this panel discussion to give you an opportunity to hear the opinions of industry leaders about AI in testing. You will have a chance to drive the debate, so come prepared with all your AI questions.

To many companies, quality is bottleneck to continuous delivery and often still a waterfall process in their agile methodology. Another bottleneck is how developers have lost confidence and rely solely on testers to ensure the quality of their work, while also enforcing a quality gate. The objective of this session is to share best practices and metrics in order to generate conversations of continuous optimization in integrating code and increasing frequency of confident & quality deliveries. Additional takeaways from this session include bringing quality into the process sooner (shift...

The Agile Earned Value Management (A-EVM) approach provides effective scope variance analysis, comprehensive performance reporting, and predictability that aid in keeping the program on time and on budget. A-EVM is an adapted implementation of the traditional EVM method. In A-EVM, we use the agile framework artifacts as inputs, use traditional EVM calculations, and value delivery is expressed in traditional EVM metrics. The A-EVM approach leverages the iteration or program increment time-boxes, in place of the traditional PMI Release, to provide boundaries around a set of epics or...