Software System Performance and Reliability
210 faculty research Software System Performance and Reliability on GradNova.
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Empirical Methods for Software Engineering. Broadly Speaking, My Trainees and I Mine Historical and Operational Data That Is Generated During the Development of Large-Scale Software Systems to Glean Actionable Insights for Software Stakeholders.
Software Delivery. Improving the Process of Assembling, Verifying, and Deploying Releases of Software Systems From Its Sources (a.k.a., Release Engineering, Devops).
Software Quality. Deriving Practical Guidelines for Developing More Reliable and Robust Software Systems.
Software Engineering Research
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Assistant Professor, and Canada Research Chair in Minimizing Human Error in Modern Networks
Networked Systems, With a Focus on Software Defined Networking (sdn) and Programmable Data Planes
Recent Focus on How to Exploit Programmability to Create Networks That Are Verifiably Robust Across the Stack, From the Protocols Themselves Down to the Switch and Network Interface Card (nic) Hardware That Processes Packets
Software-Defined Networks and 5G
Software System Performance and Reliability
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Professor Director, Oregon Advanced Computing Institute for Science and Society (OACISS)