Agenericandintegratedsoftwaresupportforthe ...€¦ · Vision Metricvisualization(snapshot)...

A generic and integrated software support for thevisualization of metrics in the context of Enterprise

Architecture ManagementFinal presentation

Michael Schätzlein

Software Engineering for Business Information Systems (sebis)Technische Universität München

May 27th, 2014

2014-05-27 – Schätzlein – Metric Visualization 1/ 25

Motivation

Metrics in Tricia:

Application continuity plan availabilityA measure of how completely IT continuity plans for business criticalapplications have been drawn & tested up for the IT’s application portfolio.

Mxl expression

let criticalApplications =find(’Business Application’).where(’is critical’) incriticalApplications.ratio(’covered by’ <> null)

Interpretationproblematic if < 60%normal if between 60% - 80%good if > 80%

2014-05-27 – Schätzlein – Metric Visualization Motivation 2/ 25

Vision

Metric visualization (snapshot)

Application continuity plan availability

0 25 50 75 100 %


Vision

Metric visualization (over time)

Date

Availab

ilit

y (

%)



Jan '14 Mar '14 May '14 Jul '14 Sep '14 Nov '14 Jan '150

10

20

30

40

50

60

70

80

90

100

Highcharts.com


Vision

Metric visualization (combined)

Date

Metr

ic v

alu

e (

%)

Application continuity plan availabilityCompared with backuped key roles

Application continuity plan availability Backuped key roles

Jan '14 Apr '14 Jul '14 Oct '14 Jan '150

10

20

30

40

50

60

70

80

90

100

Highcharts.com


Outline

1 Research Questions

2 Results of the Literature Review

3 Selected Implementation Aspects

4 Conclusion & Outlook

5 Live Demo

2014-05-27 – Schätzlein – Metric Visualization Outline 6/ 25

Research questions

RQ1: What are recommended visualizations for metrics inliterature?

RQ2: What type of visualizations are recommended for metrics inthe domain of EAM?

RQ3: What are suitable web-based visualization libraries to supportthe visualization of metrics in the domain of EAM?

RQ4: What is a suitable prototypical implementation of acorresponding visualization extension of Tricia?

2014-05-27 – Schätzlein – Metric Visualization Research Questions 7/ 25

Findings

Many authors use metrics and propose visualizations.None of them states how to use visualizations to properlyrepresent metrics.Visualization of metrics in the domain of EAM is sparselyresearched (cf. Lankes, [2008]).Practitioners and researchers contradict each other.

2014-05-27 – Schätzlein – Metric Visualization Results of the Literature Review 8/ 25

Gap between practitioners and researchers

PractitionersMake heavy use of gaugesand pie chartsSeldom care aboutconsistent coloration orcomparabilityEmploy visualizationsdistorting data

ResearchersPrefer line charts and barchartsReject pie charts, gauges,and kiviat chartsFavour monochrome,minimalistic visualizationsCare about comparability ofvisualizationsDemand visualizationswithout data distortion


Requirements for the prototype

1 Support the visualization of all metrics from the MetricCatalog by all types of recommended visualizations.

2 The visualizations operate on the results from related TxLexpressions.

3 Integration of the visualization prototype in Tricia.4 The prototype must enable users to define visualizations for

their metrics.


Visualization types (RQ1) I

Line chart

Date

Availab

ilit

y (

%)




10

20

30

40

50

60

70

80

90

100

Highcharts.com


Visualization types (RQ1) II

Area chart

Date

Availab

ilit

y (

%)




10

20

30

40

50

60

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90

100

Highcharts.com


Visualization types (RQ1) III

Column chart

Severity level

Avera

ge d

ura

tio

n (

h)

Incident duration


low middle high0

10

20

30

40

Highcharts.com


Visualization types (RQ1) IV

Bar chartS

everi

ty level

Average duration (h)

Incident duration


low

middle

high

0 10 20 30 40

Highcharts.com


Visualization types (RQ1) V

Pie chart

Incident duration distributionBased on the average incident duration

low: 20.0 %

middle: 30.0 %

high: 50.0 %

Highcharts.com


Visualization types (RQ1) VI

Kiviat chart

Spiderweb / Kiviat

data series I data series II data series III

criteria A

criteria B

criteria C

criteria D

criteria E

criteria F

0

25

50

75

100

Highcharts.com


Visualization types (RQ1) VII

Bullet chart


0 25 50 75 100 %


Recommended visualization types (RQ2)

Recommendations based on the Metric Catalog

Metric result type PerspectiveSnapshot Over time

monetary value bullet chart line / column chartmultiple values column chart line / column chartnumber bullet chart line / column chartpercentage bullet chart line / column chart


Visualization engines (RQ3)

RGraph g.Raphaël NVD3 Highcharts

Line chart Area chart # Column chart Bar chart Pie chart Kiviat chart # # Bullet chart # # G#Dynamic Documentation # Interactivity # G#

2014-05-27 – Schätzlein – Metric Visualization Selected Implementation Aspects 19/ 25

Foundation

Visualization terminology

Date

Availab

ilit

y (

%)

Application continuity plan availabilityvalue over time

40%

55%

75%

60%

85%



Data Label

Legend

Navigator

10

20

30

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90

100

Jan '14 May '14 Sep '14

Highcharts.com

X-Axis Title

Y-Axis Title TitleSubtitleY-Axis Type

X-Axis Type


TxL expressions

Allowed types

expression :: String → Number (e.g. column chart)expression :: Date → Number (e.g. line chart)expression :: Number (e.g. bullet chart)

Mxl expression (Number)


Wrapper expression (Date → Number)

applicationContinuityPlanAvailability() @ date * 100


Visualization Template

Empty template

{"properties": {},"configuration": {},"highcharts_config": {},"highcharts_expert": {}

}


Conclusion

Metric visualization is a diverse subject.We drew our own conclusions and derived a set ofrecommended metric visualizations from literature.The prototypical extension of Tricia can be used to visualize allmetrics of the catalog.Missing TxL features (at the time of writing) prevent thevisualization of values over time.

2014-05-27 – Schätzlein – Metric Visualization Conclusion & Outlook 23/ 25

Future Research

Visualization of historical dataDynamic configuration dialogUsability analysisGraphical drill-down on visualizations

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DEMO

2014-05-27 – Schätzlein – Metric Visualization Live Demo 25/ 25

Traffic light


Bullet chart


0 25 50 75 100 %

2014-05-27 – Schätzlein – Metric Visualization Backup 1/ 9

Gauge

availability in %

80

Application Continuity Plan Availability

0

1020

30

4050

60

7080

90

100


Visualization Template I

Template properties (line chart)

1 "properties": {"name": "Line Chart", "image": "line_chart.png",2 "x_axis_types": ["datetime"],3 "y_axis_types": ["linear", "logarithmic"],4 "date_intervals": ["daily", "weekly", "monthly", "quarterly", "

annually"],5 "no_of_metrics": "multiple",6 "title_editable": true,7 /* other editable flags omitted */8 "categories_editable": true,9 "default_categories": [],

10 "default_date_range": [],11 "default_date_interval": "monthly",12 "metric_series": [],13 "metric_series_addition": {}}


Visualization Template II

Template configuration

"configuration": {"categories": [],"date_range": [],"date_interval": "","title": "","subtitle": "","x_axis_type": "","x_axis_title": "","y_axis_type": "","y_axis_title": "","navigator": true,"data_label": false,"series": [],"container": ""

}


Visualization Template III

Embedded visualization

1 $[metricVisualization()$2 {"properties": {"name": "Bullet Chart"},3 "configuration": {4 "title": "Application Continuity Plan Availability",5 /* defaults omitted */6 "series": [{7 "name": "Measure",8 "id": "applicationContinuityPlanAvailability",9 "data": []

10 },{11 "name": "Target",12 "id": "applicationContinuityPlanAvailabilityTarget",13 "type": "scatter",14 "data": []15 }],16 "container": ""}17 "highcharts_expert": {}}18 $metricVisualization]$


Visualization Template IV

“Expert” configuration{"properties": {"name": "Bullet Chart",/* omitted*/

},"configuration": {/* omitted */},"highcharts_expert": {"chart":{"borderWidth": 2}

}}

Result


0 25 50 75 100 %


Visualization of historical data


applicationContinuityPlanAvailability() @ date * 100


Dynamic configuration dialog

"dialog": [{"label": "Border color","type": "color","mapped_to": {"chart": {"borderColor": "#000000"}}},

{"label": "Border width","type": "number","mapped_to": {"chart": {"borderWidth": 0}}}]


Guided metric selection


Agenericandintegratedsoftwaresupportforthe ...€¦ · Vision Metricvisualization(snapshot)...

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