It Will Never Work in Theory: Strange Loop 2022

On Friday, September 23, It Will Never Work in Theory is offering its second live event in conjunction with the Strange Loop conference. Leading software engineering researchers will present short summaries of immediate, actionable results on everything from securing software supply chains to automatically avoiding API misuses.

Speakers

Chris Brown
Chris Brown: "How to recommend tools for finding and fixing software errors."
Chris is an Assistant Professor in the Department of Computer Science at Virginia Tech. His research aims to improve the behavior, productivity, and decision-making of software engineers.
Joanna Cecilia da Silva Santos: "Choose wisely: code smells in automatically generated code."
Joanna is an Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. Her main research interests are software engineering, software security, and program analysis.
Joanna Cecilia da Silva Santos
Cat Hicks
Catherine Hicks: "It's like coding in the dark: the need for learning culture within engineering teams".
Cat is the VP of Research Insights and Director of the Developer Insights Lab at Pluralsight Flow. She holds a Ph.D. in Quantitative Experimental Psychology from UC San Diego, was an inaugural Fellow in the UC San Diego Design Lab, and has led research at organizations such as Google and Khan Academy. She serves on the Advisory Council of the University of San Diego Center for Digital Civil Society.
Foutse Khomh: "Finding bugs in deep learning programs."
Foutse is a Full Professor of Software Engineering at Polytechnique Montréal, Canada CIFAR AI Chair on Trustworthy Machine Learning Software Systems at Mila - Quebec AI Institute, and FRQ-IVADO Research Chair on Software Quality Assurance for Machine Learning Applications. His research interests include software maintenance and evolution, machine learning systems engineering, cloud engineering, and dependable and trustworthy ML/AI.
Foutse Khomh
Mohamed Wiem Mkaouer
Mohamed Wiem Mkaouer: "One thousand and one stories: a large-scale survey of software refactoring".
Mohamed is an Assistant Professor in Software Engineering the Rochester Institute of Technology. His research interests include software quality, systems refactoring, model-driven engineering, and software testing.
Sarah Nadi: "It's not you, it's the API: automatically avoiding API misuses".
Sarah is an Associate Professor in the Department of Computing Science at the University of Alberta and a Tier II Canada Research Chair in Software Reuse. Her research creates tools that help software developers accomplish tasks more efficiently; her recent work focuses on supporting developers as they use software libraries
Sarah Nadi
Justin Smith
Justin Smith: "How automated tools can communicate effective strategies for fixing bugs".
Justin is an Assistant Professor of Computer Science at Lafayette College. His research focuses on the intersections between Software Engineering, HCI, and security, and ranges from how developers get help from sites like Stack Overflow to the factors that influence ethical decision making in software development.
Tianyi Zhang: "Interactive debugging and testing support for deep learning".
Tianyi is an assistant professor in Computer Science at Purdue University, where he develops interactive systems that augment human intelligence with data-driven insights and augment machine intelligence with human guidance, with a particular focus on improving programming productivity.
Tianyi Zhang

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Recordings of these talks will be shared after the event courtesy of Strange Loop, a multi-disciplinary conference that brings together the developers and thinkers building tomorrow's technology in fields such as emerging languages, alternative databases, concurrency, distributed systems, security, and the web.

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