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Understanding Developers' Reading Patterns Using Eye-tracking and Process Mining: An Exploratory Study

Authors: Ioannou, Constantina; Jabangwe, Indira Nurdiani; Burattin, Andrea; Weber, Barbara;

Understanding Developers' Reading Patterns Using Eye-tracking and Process Mining: An Exploratory Study

Abstract

This link contains relevant data to the research done for the paper "Understanding Developers’ Reading Patterns Using Eye-tracking and Process Mining: An Exploratory Study". The data contained are listed as follows: Data Raw Data Logs: Contains two files, namely files.csv and methods.csv. These files contain all the data grouped before any filtering is applied. Abstraction Data Logs Contains two files, namely Artifact.csv and File.csv. These files contain all the data grouped after the filtering was applied. Process Maps PM_combinedAll_Tasks(1-3) Domain Understanding: In each folder there are 4 files which correspond to the combination of resources used to provide an answer (i.e, Feature, FeatureStepSource, FeatureStep Source) Artifact Abstraction File Abstraction Code Understanding: In each folder there are 4 files which correspond to the combination of resources used to provide an answer (i.e, Feature, FeatureStepSource, StepSource, Source) Artifact Abstraction File Abstraction PM_forEach_Task(1,2,3): Contains three folders (one for each task) Task 1 Domain Understanding Artifact Abstraction File Abstraction Code Understanding Artifact Abstraction File Abstraction Task 2 Domain Understanding Artifact Abstraction File Abstraction Code Understanding Artifact Abstraction File Abstraction Task 3 Domain Understanding Artifact Abstraction File Abstraction Code Understanding Artifact Abstraction File Abstraction Questionnaire: Pre-questionnaire Post-questionnaire

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Keywords

process mining, eye-tracking, developers' workflows, sourcecode, behavior driven development

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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