Articles: Tag: Computer Science

Just Learning in the Sand

Allegheny College’s newest piece of technology offers students a chance to roll up their sleeves and act like a kid again — a combination of sands and smarts. This augmented reality sandbox, located in the basement of Alden Hall, arrived in late January and creates three-dimensional topographical maps based on the way students physically shape

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Students Get Their Hands Dirty With New Augmented Reality Sandbox

https://www.youtube.com/watch?v=3FTHK9GCTog Allegheny senior Kristy Garcia rolled up her sleeves and dug right into the sandbox, piling up clean, white sand to form a mountain. Senior David Olson joined in as well, using his fingers to dig a trench at the base of the mountain. As they watched the colors change from deep reds and oranges

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Wenskovitch Publishes in BMC Bioinformatics

Visiting Assistant Professor of Computer Science John Wenskovitch published a paper in the journal BMC Bioinformatics. “MOSBIE: A Tool for Comparison and Analysis of Rule-Based Biochemical Models” describes the accompanying software, an interactive exploration system that enables the highlighting of similarities and differences in the structures and behaviors of rule-based models of cell signaling processes.

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Kapfhammer Paper Demonstrates One of the First Mutation Testing Methods That Can Be Readily Applied to Real-World Programs

Associate Professor of Computer Science Gregory M. Kapfhammer and co-authors René Just (University of Washington) and Franz Schweiggert (University of Ulm) recently published a paper in the Proceedings of the 23rd International Symposium on Software Reliability Engineering. “Using Non-Redundant Mutation Operators and Test Suite Prioritization to Achieve Efficient and Scalable Mutation Analysis” demonstrates one of

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Come One, Come All

By Heather Grubbs and Nahla Bendefaa ’16 Everyone loves a home-cooked meal. But when you’re away at college, enjoying grandma’s homemade lasagna is often a sacrifice one must make. Or is it? One student-organized group is aiming to change that. The Food Co-op began two years ago as part of Class of 2014 graduate Taylor

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Kapfhammer Publishes in Proceedings of the 6th 
International Conference on Genetic and Evolutionary Computing

Associate Professor of Computer Science Gregory M. Kapfhammer and co-authors Chu-Ti Lin (National Chiayi University, Taiwan) and Kai-Wei Tang (Institute for Information Industry, Taiwan) published a paper in the Proceedings of the 6th 
International Conference on Genetic and Evolutionary Computing. “Reducing the Cost of Regression Testing by Identifying Irreplaceable Test Cases” shows how to automatically

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International Conference on Genetic and Evolutionary Computing"

Kapfhammer and Former Students Publish in ACM SIGMETRICS

Associate Professor of Computer Science Gregory M. Kapfhammer and co-authors Philip F. Burdette ’09, William F. Jones ’09, and Brian C. Blose ’06 published a paper in the ACM SIGMETRICS Performance Evaluation Review. The paper, “An Empirical Comparison of Java Remote Communication Primitives for Intra-Node Data Transmission,” presents a benchmarking suite that measures the performance

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Kapfhammer Publishes in Conference Proceedings

Associate Professor of Computer Science Gregory M. Kapfhammer published a poster paper in the Proceedings of the International Conference on Software Testing, Verification and Validation. “Towards a Method for Reducing the Test Suites of Database Applications” describes and empirically evaluates a test suite reduction technique that improves the efficiency of regression testing for database applications

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Kapfhammer and Kauffman Publish “A Framework to Support Research in and Encourage Industrial Adoption of Regression Testing Techniques”

Associate Professor of Computer Science Gregory M. Kapfhammer and Jonathan Miller Kauffman ’12 published a paper in the Proceedings of the 7th Testing: Academic and Industrial Conference. The paper “A Framework to Support Research in and Encourage Industrial Adoption of Regression Testing Techniques” describes a recently released free and open-source framework that supports both research

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