Leveraging usage data of Software Architecture Artefacts

Moon Ting Su; John Grundy; John Hosking; Ewan Tempero

doi:10.1109/ECASE.2019.00011

Leveraging usage data of Software Architecture Artefacts

Moon Ting Su, John Grundy, John Hosking, Ewan Tempero

Department of Software Systems & Cybersecurity

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

A number of existing fields (such as computational wear, social navigation, collaborative filtering, social filtering, and wear-based filtering) have shown that usage data (comprising interaction and annotation data) can be leveraged to provide assistance for sense-making of materials, for finding and filtering information, and for exploring an information space. We believe providing such assistance in Software Architecture Knowledge Management (SAKM) can enhance two of the five knowledge management activities of SAKM, namely, Architecture Knowledge (AK) sharing and AK application/using. To this end, we propose to include usage data capture and visualization as essential features of SAKM tools. We discuss key requirements and challenges for SAKM tools leveraging such usage data. We describe KaitaroCap, an exemplar tool that captures and provides visualization of usage data, in particular the usage data of software architecture documents.

Original language	English
Title of host publication	Proceedings - 2019 IEEE/ACM 2nd International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering, ECASE 2019
Editors	Alberto Bacchelli, Barbora Buhnova, Betty Cheng, Sebastian Elbaum, Neil Ernst, Vladimir Filkov, Harald Gall, Mike Godfrey, Ahmed E. Hassan, Patricia Lago, Grace Lewis
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	13-21
Number of pages	9
ISBN (Electronic)	9781728122410
DOIs	https://doi.org/10.1109/ECASE.2019.00011
Publication status	Published - 2019
Event	International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering 2019 - Montreal, Canada Duration: 27 May 2019 → 27 May 2019 Conference number: 2nd http://design.se.rit.edu/ECASE/

Conference

Conference	International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering 2019
Abbreviated title	ECASE 2019
Country/Territory	Canada
City	Montreal
Period	27/05/19 → 27/05/19
Internet address	http://design.se.rit.edu/ECASE/

Keywords

Knowledge management
Software architecture
Usage Data
Visualization

Access to Document

10.1109/ECASE.2019.00011

Cite this

Su, M. T., Grundy, J., Hosking, J., & Tempero, E. (2019). Leveraging usage data of Software Architecture Artefacts. In A. Bacchelli, B. Buhnova, B. Cheng, S. Elbaum, N. Ernst, V. Filkov, H. Gall, M. Godfrey, A. E. Hassan, P. Lago, & G. Lewis (Eds.), Proceedings - 2019 IEEE/ACM 2nd International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering, ECASE 2019 (pp. 13-21). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ECASE.2019.00011

Su, Moon Ting ; Grundy, John ; Hosking, John et al. / Leveraging usage data of Software Architecture Artefacts. Proceedings - 2019 IEEE/ACM 2nd International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering, ECASE 2019. editor / Alberto Bacchelli ; Barbora Buhnova ; Betty Cheng ; Sebastian Elbaum ; Neil Ernst ; Vladimir Filkov ; Harald Gall ; Mike Godfrey ; Ahmed E. Hassan ; Patricia Lago ; Grace Lewis. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 13-21

@inproceedings{cd07c85870d943448c43b37cd7d88c1a,

title = "Leveraging usage data of Software Architecture Artefacts",

abstract = "A number of existing fields (such as computational wear, social navigation, collaborative filtering, social filtering, and wear-based filtering) have shown that usage data (comprising interaction and annotation data) can be leveraged to provide assistance for sense-making of materials, for finding and filtering information, and for exploring an information space. We believe providing such assistance in Software Architecture Knowledge Management (SAKM) can enhance two of the five knowledge management activities of SAKM, namely, Architecture Knowledge (AK) sharing and AK application/using. To this end, we propose to include usage data capture and visualization as essential features of SAKM tools. We discuss key requirements and challenges for SAKM tools leveraging such usage data. We describe KaitaroCap, an exemplar tool that captures and provides visualization of usage data, in particular the usage data of software architecture documents.",

keywords = "Knowledge management, Software architecture, Usage Data, Visualization",

author = "Su, {Moon Ting} and John Grundy and John Hosking and Ewan Tempero",

year = "2019",

doi = "10.1109/ECASE.2019.00011",

language = "English",

pages = "13--21",

editor = "Bacchelli, {Alberto } and Buhnova, {Barbora } and Cheng, {Betty } and Elbaum, {Sebastian } and Ernst, {Neil } and Filkov, {Vladimir } and Harald Gall and Mike Godfrey and {E. Hassan}, {Ahmed } and Lago, {Patricia } and Lewis, {Grace }",

booktitle = "Proceedings - 2019 IEEE/ACM 2nd International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering, ECASE 2019",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering 2019, ECASE 2019 ; Conference date: 27-05-2019 Through 27-05-2019",

url = "http://design.se.rit.edu/ECASE/",

}

Su, MT, Grundy, J, Hosking, J & Tempero, E 2019, Leveraging usage data of Software Architecture Artefacts. in A Bacchelli, B Buhnova, B Cheng, S Elbaum, N Ernst, V Filkov, H Gall, M Godfrey, A E. Hassan, P Lago & G Lewis (eds), Proceedings - 2019 IEEE/ACM 2nd International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering, ECASE 2019. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 13-21, International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering 2019, Montreal, Quebec, Canada, 27/05/19. https://doi.org/10.1109/ECASE.2019.00011

Leveraging usage data of Software Architecture Artefacts. / Su, Moon Ting; Grundy, John; Hosking, John et al.
Proceedings - 2019 IEEE/ACM 2nd International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering, ECASE 2019. ed. / Alberto Bacchelli; Barbora Buhnova; Betty Cheng; Sebastian Elbaum; Neil Ernst; Vladimir Filkov; Harald Gall; Mike Godfrey; Ahmed E. Hassan; Patricia Lago; Grace Lewis. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 13-21.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Leveraging usage data of Software Architecture Artefacts

AU - Su, Moon Ting

AU - Grundy, John

AU - Hosking, John

AU - Tempero, Ewan

N1 - Conference code: 2nd

PY - 2019

Y1 - 2019

N2 - A number of existing fields (such as computational wear, social navigation, collaborative filtering, social filtering, and wear-based filtering) have shown that usage data (comprising interaction and annotation data) can be leveraged to provide assistance for sense-making of materials, for finding and filtering information, and for exploring an information space. We believe providing such assistance in Software Architecture Knowledge Management (SAKM) can enhance two of the five knowledge management activities of SAKM, namely, Architecture Knowledge (AK) sharing and AK application/using. To this end, we propose to include usage data capture and visualization as essential features of SAKM tools. We discuss key requirements and challenges for SAKM tools leveraging such usage data. We describe KaitaroCap, an exemplar tool that captures and provides visualization of usage data, in particular the usage data of software architecture documents.

AB - A number of existing fields (such as computational wear, social navigation, collaborative filtering, social filtering, and wear-based filtering) have shown that usage data (comprising interaction and annotation data) can be leveraged to provide assistance for sense-making of materials, for finding and filtering information, and for exploring an information space. We believe providing such assistance in Software Architecture Knowledge Management (SAKM) can enhance two of the five knowledge management activities of SAKM, namely, Architecture Knowledge (AK) sharing and AK application/using. To this end, we propose to include usage data capture and visualization as essential features of SAKM tools. We discuss key requirements and challenges for SAKM tools leveraging such usage data. We describe KaitaroCap, an exemplar tool that captures and provides visualization of usage data, in particular the usage data of software architecture documents.

KW - Knowledge management

KW - Software architecture

KW - Usage Data

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=85072787140&partnerID=8YFLogxK

U2 - 10.1109/ECASE.2019.00011

DO - 10.1109/ECASE.2019.00011

M3 - Conference Paper

SP - 13

EP - 21

BT - Proceedings - 2019 IEEE/ACM 2nd International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering, ECASE 2019

A2 - Bacchelli, Alberto

A2 - Buhnova, Barbora

A2 - Cheng, Betty

A2 - Elbaum, Sebastian

A2 - Ernst, Neil

A2 - Filkov, Vladimir

A2 - Gall, Harald

A2 - Godfrey, Mike

A2 - E. Hassan, Ahmed

A2 - Lago, Patricia

A2 - Lewis, Grace

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering 2019

Y2 - 27 May 2019 through 27 May 2019

ER -

Su MT, Grundy J, Hosking J, Tempero E. Leveraging usage data of Software Architecture Artefacts. In Bacchelli A, Buhnova B, Cheng B, Elbaum S, Ernst N, Filkov V, Gall H, Godfrey M, E. Hassan A, Lago P, Lewis G, editors, Proceedings - 2019 IEEE/ACM 2nd International Workshop on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering, ECASE 2019. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 13-21 doi: 10.1109/ECASE.2019.00011

Leveraging usage data of Software Architecture Artefacts

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