Keynote 1: Visualization for Software Analytics by Margaret-Anne (Peggy) Storey
Margaret‐Anne Storey
Abstract
Margaret‐Anne Storey
Abstract
The popularity of software visualization research over the past 30 years has led to innovative techniques that are now seeing widespread adoption by professional software practitioners. But this research has barely kept pace with some of the radical changes occurring in software engineering today. In this talk, I explore current trends in software engineering, including the prevalence of software ecosystems and software delivery as a service, and the emergence of the social coder within a participatory development culture. I will also discuss how the field of software analytics has matured and seeks to support practitioners in improving software quality, user experience and developer productivity through data-driven tasks. Finally, I suggest that software visualization should be playing a bigger role in these recent trends, emphasizing that interactive visualizations are poised to play a critical role in the field of software analytics.
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The popularity of software visualization research over the past 30 years has led to innovative techniques that are now seeing widespread adoption by professional software practitioners. But this research has barely kept pace with some of the radical changes occurring in software engineering today. In this talk, I explore current trends in software engineering, including the prevalence of software ecosystems and software delivery as a service, and the emergence of the social coder within a participatory development culture. I will also discuss how the field of software analytics has matured and seeks to support practitioners in improving software quality, user experience and developer productivity through data-driven tasks. Finally, I suggest that software visualization should be playing a bigger role in these recent trends, emphasizing that interactive visualizations are poised to play a critical role in the field of software analytics.
Key concepts: Software analytics, Social software engineering, Computer science, Software development, Software peer review, Popularity, Analytics, Software visualization