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Dynamic rich-data capture and analysis of debugging processes

posted on 2023-06-08, 10:06 authored by Pablo Romero, Benedict du Boulay, Richard Cox, Rudi Lutz, Sallyann Bryant
This paper proposes a methodology for the study of program comprehension and debugging through the capture and analysis of rich process data. A software debugging environment with enhanced functionality is used to capture these data and a mixture of qualititative and quantitative approaches is employed to analyze them. The functionality added to the software debugging environment allows it to record the programmers' verbalisations, their focus of visual attention and their keyboard and mouse actions. These synchronous data are analysed to build a model that relates debugging expertise to strategy in terms of representation coordination and individual differences in representation use.


Publication status

  • Published



Presentation Type

  • paper

Event name

Proceedings of the 16th annual workshop of the Psychology of Programming Interest Group

Event location

Institute of Technology, Carlow, Ireland

Event type


Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

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