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Carnegie Mellon University | Software Engineering Institute


Orlando, FL

Call for Submissions

Celebrating its 16th year, SATURN is the leading conference for software architects who look beyond the details of today’s technologies to the underlying trends, techniques, and principles that underpin lasting success in a fast-moving field. SATURN attracts attendees from across many domains and technical communities who come together to share their interest in both proven and emerging software architecture best practices. This unique mix makes it the best place to learn, exchange ideas, and find collaborators at the leading edge of modern software architecture.

Thank you for your interest; the call for submissions is now closed. If you have submitted an abstract, you will hear from us by January 31, 2020.

Abstracts Due
January 10, 2020

Conference Topic Areas

The three topic areas for this year’s technical program are (1) Machine Learning, Artificial Intelligence (AI), Data-Centric Systems; (2) Modern Approaches for Architecting Distributed Systems; and (3) Other Design and Development Techniques, Patterns, and Solutions. Each proposal should identify a primary topic area, although a submission topic may be relevant to more than one area. Proposals need not be limited to the example subjects listed under each topic area below.


Machine Learning, Artificial Intelligence (AI), Data-Centric Systems

This topic area highlights frameworks, techniques, and tools for AI, data analytics, and algorithms. This technology has now become mainstream technology, used in systems across many domains, in some cases, even driving the critical decision making that gives businesses a competitive edge. Enterprise solutions can benefit from this technology to improve the user experience and agility of corporate software systems. Submissions in this topic area may include

  • how intelligent automation, such as robotic process automation, digital assistants, classifiers, and recommenders, affects architects and systems
  • tools and frameworks for architecting data analytics and machine learning systems
  • architecture design and analysis of data analytics solutions
  • big data technologies and infrastructure for large-scale data management (e.g., distributed and NoSQL databases) and processing (e.g., Hadoop, Storm, Spark)
  • case studies of building and evolving ML, AI, and data-centric systems in industry or government

Session Types

Choose a session type that you are comfortable presenting or facilitating and that best helps you to effectively share your wisdom, knowledge, and experience with your audience. You may submit up to 3 separate proposals for a 45-minute talk and a 90-minute tutorial session on the same topic.

Session types include the following:

  • Experience Report: 45-minute presentation that describes a first-hand experience, either successful or unsuccessful, and lessons learned. Generally, this is a slide-based presentation that tells a story about something that you did.
  • Technical Talk: 45-minute lecture-based session, focused on teaching a specific skill or technique based on your knowledge and expertise.
  • Tutorial: 90-minute session with attendees spending part of the time in hands-on learning activities such as writing code, applying a design technique, or practicing an architecture leadership activity. We have a very limited number of slots available for these presentations.
  • DEV@SATURN Talk (TED-Style Presentation): 15-minute talk that concisely shares a single important technique, lesson, or experience. Stories can be short without a lot of slides to explain. We have a limited number of slots available for these presentations.