FeatureVista: Interactive feature visualization

Alexandre Bergel; Razan Ghzouli; Thorsten Berger; Michel R.V. Chaudron

doi:10.1145/3461001.3471154

FeatureVista: Interactive feature visualization

Alexandre Bergel, Razan Ghzouli, Thorsten Berger, Michel R.V. Chaudron

Engineering of Software-Intensive Systems

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

8 Citaten (Scopus)

Samenvatting

Comprehending and characterizing the spread and interaction of features in a software system is know to be difficult and error-prone. This paper presents FeatureVista, a lightweight tool providing interactive, glyph-based, and iconic visualization concepts designed to visually characterize the feature locations in software assets (source code). FeatureVista supports navigating between software components and features in an equal fashion. Our pilot study indicates that FeatureVista is intuitive and supports comprehending features. It helps to precisely characterize relations among features in large software systems and to contrast explicit software component definitions (e.g., package, class, method) with annotated feature portions - -which so far was a largely manual and error-prone activity, albeit essential to get an adequate understanding of a software system. We suggest research directions for true, feature-oriented interfaces that can be used to manage software assets.

Originele taal-2	Engels
Titel	Proceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021
Redacteuren	Mohammad Mousavi, Pierre-Yves Schobbens, Hugo Araujo, Ina Schaefer, Maurice H. ter Beek, Xavier Devroey, Jose Miguel Rojas, Monica Pinto, Leopoldo Teixeira, Thorsten Berger, Johannes Noppen, Iris Reinhartz-Berger, Paul Temple, Ferruccio Damiani, Justyna Petke
Uitgeverij	Association for Computing Machinery, Inc
Pagina's	196-201
Aantal pagina's	6
ISBN van elektronische versie	9781450384698
DOI's	https://doi.org/10.1145/3461001.3471154
Status	Gepubliceerd - 6 sep. 2021
Evenement	25th ACM International Systems and Software Product Line Conference, SPLC 2021 - Virtual, Online, Verenigd Koninkrijk Duur: 6 sep. 2021 → 11 sep. 2021

Publicatie series

Naam	ACM International Conference Proceeding Series

Congres

Congres	25th ACM International Systems and Software Product Line Conference, SPLC 2021
Land/Regio	Verenigd Koninkrijk
Stad	Virtual, Online
Periode	6/09/21 → 11/09/21

Bibliografische nota

Publisher Copyright:
© 2021 ACM.

Financiering

Bergel thanks the ANID Fondecyt Regular project number 1200067. Ghzouli and Berger thank the Knut and Alice Wallenberg Foundation as well as the Swedish Research Council.

Toegang tot document

10.1145/3461001.3471154

Andere bestanden en links

Link naar publicatie in Scopus

Citeer dit

Bergel, A., Ghzouli, R., Berger, T., & Chaudron, M. R. V. (2021). FeatureVista: Interactive feature visualization. In M. Mousavi, P.-Y. Schobbens, H. Araujo, I. Schaefer, M. H. ter Beek, X. Devroey, J. M. Rojas, M. Pinto, L. Teixeira, T. Berger, J. Noppen, I. Reinhartz-Berger, P. Temple, F. Damiani, & J. Petke (editors), Proceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021 (blz. 196-201). (ACM International Conference Proceeding Series). Association for Computing Machinery, Inc. https://doi.org/10.1145/3461001.3471154

Bergel, Alexandre ; Ghzouli, Razan ; Berger, Thorsten et al. / FeatureVista : Interactive feature visualization. Proceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021. redacteur / Mohammad Mousavi ; Pierre-Yves Schobbens ; Hugo Araujo ; Ina Schaefer ; Maurice H. ter Beek ; Xavier Devroey ; Jose Miguel Rojas ; Monica Pinto ; Leopoldo Teixeira ; Thorsten Berger ; Johannes Noppen ; Iris Reinhartz-Berger ; Paul Temple ; Ferruccio Damiani ; Justyna Petke. Association for Computing Machinery, Inc, 2021. blz. 196-201 (ACM International Conference Proceeding Series).

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title = "FeatureVista: Interactive feature visualization",

abstract = "Comprehending and characterizing the spread and interaction of features in a software system is know to be difficult and error-prone. This paper presents FeatureVista, a lightweight tool providing interactive, glyph-based, and iconic visualization concepts designed to visually characterize the feature locations in software assets (source code). FeatureVista supports navigating between software components and features in an equal fashion. Our pilot study indicates that FeatureVista is intuitive and supports comprehending features. It helps to precisely characterize relations among features in large software systems and to contrast explicit software component definitions (e.g., package, class, method) with annotated feature portions - -which so far was a largely manual and error-prone activity, albeit essential to get an adequate understanding of a software system. We suggest research directions for true, feature-oriented interfaces that can be used to manage software assets.",

author = "Alexandre Bergel and Razan Ghzouli and Thorsten Berger and Chaudron, {Michel R.V.}",

note = "Funding Information: Bergel thanks the ANID Fondecyt Regular project number 1200067. Ghzouli and Berger thank the Knut and Alice Wallenberg Foundation as well as the Swedish Research Council. Publisher Copyright: {\textcopyright} 2021 ACM.; 25th ACM International Systems and Software Product Line Conference, SPLC 2021 ; Conference date: 06-09-2021 Through 11-09-2021",

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doi = "10.1145/3461001.3471154",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery, Inc",

pages = "196--201",

editor = "Mohammad Mousavi and Pierre-Yves Schobbens and Hugo Araujo and Ina Schaefer and {ter Beek}, {Maurice H.} and Xavier Devroey and Rojas, {Jose Miguel} and Monica Pinto and Leopoldo Teixeira and Thorsten Berger and Johannes Noppen and Iris Reinhartz-Berger and Paul Temple and Ferruccio Damiani and Justyna Petke",

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Bergel, A, Ghzouli, R, Berger, T & Chaudron, MRV 2021, FeatureVista: Interactive feature visualization. in M Mousavi, P-Y Schobbens, H Araujo, I Schaefer, MH ter Beek, X Devroey, JM Rojas, M Pinto, L Teixeira, T Berger, J Noppen, I Reinhartz-Berger, P Temple, F Damiani & J Petke (uitgave), Proceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021. ACM International Conference Proceeding Series, Association for Computing Machinery, Inc, blz. 196-201, 25th ACM International Systems and Software Product Line Conference, SPLC 2021, Virtual, Online, Verenigd Koninkrijk, 6/09/21. https://doi.org/10.1145/3461001.3471154

FeatureVista: Interactive feature visualization. / Bergel, Alexandre; Ghzouli, Razan; Berger, Thorsten et al.
Proceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021. uitgave / Mohammad Mousavi; Pierre-Yves Schobbens; Hugo Araujo; Ina Schaefer; Maurice H. ter Beek; Xavier Devroey; Jose Miguel Rojas; Monica Pinto; Leopoldo Teixeira; Thorsten Berger; Johannes Noppen; Iris Reinhartz-Berger; Paul Temple; Ferruccio Damiani; Justyna Petke. Association for Computing Machinery, Inc, 2021. blz. 196-201 (ACM International Conference Proceeding Series).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - FeatureVista

T2 - 25th ACM International Systems and Software Product Line Conference, SPLC 2021

AU - Bergel, Alexandre

AU - Ghzouli, Razan

AU - Berger, Thorsten

AU - Chaudron, Michel R.V.

N1 - Funding Information: Bergel thanks the ANID Fondecyt Regular project number 1200067. Ghzouli and Berger thank the Knut and Alice Wallenberg Foundation as well as the Swedish Research Council. Publisher Copyright: © 2021 ACM.

PY - 2021/9/6

Y1 - 2021/9/6

N2 - Comprehending and characterizing the spread and interaction of features in a software system is know to be difficult and error-prone. This paper presents FeatureVista, a lightweight tool providing interactive, glyph-based, and iconic visualization concepts designed to visually characterize the feature locations in software assets (source code). FeatureVista supports navigating between software components and features in an equal fashion. Our pilot study indicates that FeatureVista is intuitive and supports comprehending features. It helps to precisely characterize relations among features in large software systems and to contrast explicit software component definitions (e.g., package, class, method) with annotated feature portions - -which so far was a largely manual and error-prone activity, albeit essential to get an adequate understanding of a software system. We suggest research directions for true, feature-oriented interfaces that can be used to manage software assets.

AB - Comprehending and characterizing the spread and interaction of features in a software system is know to be difficult and error-prone. This paper presents FeatureVista, a lightweight tool providing interactive, glyph-based, and iconic visualization concepts designed to visually characterize the feature locations in software assets (source code). FeatureVista supports navigating between software components and features in an equal fashion. Our pilot study indicates that FeatureVista is intuitive and supports comprehending features. It helps to precisely characterize relations among features in large software systems and to contrast explicit software component definitions (e.g., package, class, method) with annotated feature portions - -which so far was a largely manual and error-prone activity, albeit essential to get an adequate understanding of a software system. We suggest research directions for true, feature-oriented interfaces that can be used to manage software assets.

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U2 - 10.1145/3461001.3471154

DO - 10.1145/3461001.3471154

M3 - Conference contribution

AN - SCOPUS:85115344935

T3 - ACM International Conference Proceeding Series

SP - 196

EP - 201

BT - Proceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021

A2 - Mousavi, Mohammad

A2 - Schobbens, Pierre-Yves

A2 - Araujo, Hugo

A2 - Schaefer, Ina

A2 - ter Beek, Maurice H.

A2 - Devroey, Xavier

A2 - Rojas, Jose Miguel

A2 - Pinto, Monica

A2 - Teixeira, Leopoldo

A2 - Berger, Thorsten

A2 - Noppen, Johannes

A2 - Reinhartz-Berger, Iris

A2 - Temple, Paul

A2 - Damiani, Ferruccio

A2 - Petke, Justyna

PB - Association for Computing Machinery, Inc

Y2 - 6 September 2021 through 11 September 2021

ER -

Bergel A, Ghzouli R, Berger T, Chaudron MRV. FeatureVista: Interactive feature visualization. In Mousavi M, Schobbens PY, Araujo H, Schaefer I, ter Beek MH, Devroey X, Rojas JM, Pinto M, Teixeira L, Berger T, Noppen J, Reinhartz-Berger I, Temple P, Damiani F, Petke J, redacteurs, Proceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021. Association for Computing Machinery, Inc. 2021. blz. 196-201. (ACM International Conference Proceeding Series). doi: 10.1145/3461001.3471154

FeatureVista: Interactive feature visualization

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Financiering

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