Linaro Connect 24

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Join us at Linaro Connect, where innovation meets collaboration!

Discover the future of ARM open-source software, network with industry leaders, engineers, and ARM software experts, and don’t forget the Linaro Connect hacking sessions.

Let’s connect, learn, and innovate together.

May 14, 2024

1 week ago

May 17, 2024

1 week ago

Madrid, Spain

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Daniel Izquierdo

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Daniel Izquierdo Cortázar is a researcher and one of the founders of Bitergia, a company that provides software analytics for open and InnerSource ecosystems. Currently holding the position of Chief Executive Officer, he is focused on the quality of the data, research of new metrics, analysis and studies of interest for Bitergia customers via data mining and processing. Izquierdo Cortázar earned a PhD in free software engineering from the Universidad Rey Juan Carlos in Madrid in 2012 focused on the analysis of buggy developers activity patterns in the Mozilla community. He is in an active contributor and board member of CHAOSS (Community Health Analytics for Open Source Software). He is an active member and VP at the InnerSource Commons Foundation.


MAD24-208 Improving Delivery Process Performance for Software-Defined Products Helped by Data Analytics

  • Wednesday, 15 May 11:10 - 11:35
  • Room: Session 2 | Tenerife I

Most of what we know today about applying delivery metrics today comes from software production environments where the organization has significant or full control of the product deployment. How do we apply such metrics in environments where your control of the deployment environment is limited or non-existent? What if it is not a software-only product but a software-defined one (including HW)? What if there is a supply chain involved you have to collaborate with in order to create the product actively? What if there are regulations involved? Is our approach to delivery metrics similar in all those cases or do we need to adapt them? What adaptations do we need to apply? This session, tailored for software engineers and data scientists, will delve into some of the lessons learned when applying delivery metrics and other key metrics to such environments, as well as some of the challenges we have faced. It will also describe the lessons learned from open source we are applying when implementing data analytics into production environments that have worked well. This talk aims to elucidate how analytics-driven assessments empower software engineering teams with insights, aiding in process and practice refinement, identifying bottlenecks, silos, waste, etc., and fostering continuous improvement with a noticeable impact on both, the overall organizational performance and the workforce well-being.