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|a Pham, Hubert
|e author
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|a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Paluska, Justin Mazzola
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|a Pham, Hubert
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|a Paluska, Justin Mazzola
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|a Paluska, Justin Mazzola
|e author
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|a Per Viz: Painkillers for Pervasive Application Debugging
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|b Institute of Electrical and Electronics Engineers,
|c 2011-03-28T18:20:12Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/61982
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|a Debugging pervasive applications is difficult due to their distributed, asynchronous, and dynamic nature. To help ease the debugging process, we propose PerViz, a developer-targeted tool that enhances system visibility through real-time visualizations of system state, semi-automates application restarts and positioning, and enables both real-time and asynchronous collaboration in debugging between developers. Developers interact with PerViz through a web browser, which provides a convenient, centralized location to study and filter aggregated application debugging logs and state. In our experience with using PerViz, we have found its log aggregation and real-time visualizations to be key facilitators for effective debugging.
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|a T-Party Project
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|a en_US
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|a Article
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|t IEEE International Conference on Pervasive Computing and Communications (PerCom)
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