Salima Hassaine, Karim Dhambri, Houari Sahraoui, Pierre Poulin

DIRO, Université de Montréal

Generating Visualization-based Analysis Scenarios from Maintenance Task Descriptions

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Motivation• Many maintenance tasks difficult to automate

– Multi-criteria decision making• Feature location (traceability), anomaly detection, aspect

mining, component identification, etc.

– Lack of contextual information• Feature location, quality assessment, anomaly detection,

evolution analysis, reverse engineering, etc.

– Complexity/scalability• Feature location, quality assessment, anomaly detection,

evolution analysis, reverse engineering, etc.

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Motivations

• Interactive visualization• Maintenance task = Set of reasoning

and calculation modules– Set of automated modules AMs

(explicit knowledge)– Human analyst module HM– Visualization = Interface between

AMs and HM

Visualization

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Motivations• How to us visualization tools?

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Motivations• How to us visualization tools?• Creating views

– Mapping data to graphical objects and attributes– Different degrees of freedom

• Fully defined by the tool designer• Customized by parameter setting• More flexibility

• Interacting with views– Mapping data-analysis operations to sequences of interactions

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Approach Overview

Analysis Task Model

Interactive Visualization Task Model

Analysis Task Model

Interactive Visual Task

AT to IVT Transformation

Mechanism

AT to IVT Transformation

Session

Tool Specification

Edition Execution

Customization

Conformance

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Analysis Task Model

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Example• Blob Detection

– Task description

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Interactive-Visualization Task Model

• Tool specification– Example of VERSO

t

hc

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Interactive-Visualization Task Model

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AT to IVT Transformation

• Defining views (case of parameter setting)– Map data into graphical attributes– Constraint solving problem

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AT to IVT Transformation

• Defining interaction scenarios– Mapping operators into interactors (two steps)

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Example• Blob Detection

– Interaction scenario

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Example• Blob Detection

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Conclusion

• A preliminary work on how to map a maintenance task to an interaction scenario with a visualization tool

• Limitations & Future work– Relationship between data and operation

mappings– Data-distribution impact on the mapping– Tool-nature impact on the mapping– Case of multiple views– Experimentation with other visualization tools