Using Analytics to Drive Your Agile Testing Strategy Forward

On-Demand Webinar

WHAT?

Using Analytics to Drive Your Agile Testing Strategy Forward

WHY?

Learn how to leverage data and insights to make critical decisions

ON-DEMAND

Watch Now

WATCH NOW

Learn how to leverage data and insights to make critical decisions

Analytics that Agile Development and Testing Teams Can Use to Improve Quality and Efficiency

In recent years, businesses have raised their expectations for development projects, cutting back on financial resources and demanding shorter production cycles. In order to meet the growing demands and succeed as a testing manager, you need to leverage data and insights to make critical decisions about your team and strategy. However, this is no easy task. Managers today have more data than they know what to do with. How do you distinguish between what is meaningful and what is meaningless?

In this webinar, Jonathan Alexander, CTO of QASymphony shared analytics that agile development and testing teams can use to improve quality and efficiency. Data presented comes from the QASymphony Labs, where the analytics team works with anonymized data gathered from hundreds of development organizations to find meaningful and useful testing metrics. By watching this on-demand webinar you will learn about testing and quality metrics specifically useful to agile teams, analytics to improve quality and testing efficiency, and processes to make test teams more agile. Don’t miss this opportunity to learn:

  • Testing and quality metrics specifically useful to agile teams
  • Analytics to improve quality and testing efficiency
  • Processes to make test teams more agile

ABOUT JONATHAN ALEXANDER

Jonathan Alexander is CTO at QASymphony based in Atlanta where he leads the research and development of the qTest platform, including the development of new product offerings. He has extensive experience in using analytics to understand and improve software teams and quality, and has authored multiple articles on this subject and the book Codermetrics published by O’Reilly.

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