Spectrum-based feature localization: A case study using ArgoUML: A case study using ArgoUML

Gabriela K. Michelon; Bruno Sotto-Mayor; Jabier Martinez; Aitor Arrieta; Rui Abreu; Wesley K. G. Assunção

doi:10.1145/3461001.3473065

Spectrum-based feature localization: A case study using ArgoUML: A case study using ArgoUML

Gabriela K. Michelon, Bruno Sotto-Mayor, Jabier Martinez, Aitor Arrieta, Rui Abreu, Wesley K. G. Assunção

Software Technologies

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

5 Citations (Scopus)

3 Downloads (Pure)

Abstract

Feature localization (FL) is a basic activity in re-engineering legacy systems into software product lines. In this work, we explore the use of the Spectrum-based localization technique for this task. This technique is traditionally used for fault localization but with practical applications in other tasks like the dynamic FL approach that we propose. The ArgoUML SPL benchmark is used as a case study and we compare it with a previous hybrid (static and dynamic) approach from which we reuse the manual and testing execution traces of the features. We conclude that it is feasible and sound to use the Spectrum-based approach providing promising results in the benchmark metrics.

Original language	English
Title of host publication	unknown
Editors	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
Publisher	Association for Computing Machinery
Pages	126-130
Number of pages	5
Volume	F171624-A
ISBN (Electronic)	9781450384698
DOIs	https://doi.org/10.1145/3461001.3473065
Publication status	Published - 6 Sept 2021
Event	25th ACM International Systems and Software Product Line Conference, SPLC 2021 - Virtual, Online, United Kingdom Duration: 6 Sept 2021 → 11 Sept 2021

Publication series

Name	Part F171624-A

Conference

Conference	25th ACM International Systems and Software Product Line Conference, SPLC 2021
Country/Territory	United Kingdom
City	Virtual, Online
Period	6/09/21 → 11/09/21

Keywords

ArgoUML SPL benchmark
Dynamic feature localization
Spectrum-based localization

Access to Document

10.1145/3461001.3473065

3461001Final published version, 592 KB

Cite this

Michelon, G. K., Sotto-Mayor, B., Martinez, J., Arrieta, A., Abreu, R., & Assunção, W. K. G. (2021). Spectrum-based feature localization: A case study using ArgoUML: A case study using ArgoUML. 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 (Eds.), unknown (Vol. F171624-A, pp. 126-130). (Part F171624-A). Association for Computing Machinery. https://doi.org/10.1145/3461001.3473065

Michelon, Gabriela K. ; Sotto-Mayor, Bruno ; Martinez, Jabier et al. / Spectrum-based feature localization: A case study using ArgoUML : A case study using ArgoUML. unknown. editor / 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. Vol. F171624-A Association for Computing Machinery, 2021. pp. 126-130 (Part F171624-A).

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title = "Spectrum-based feature localization: A case study using ArgoUML: A case study using ArgoUML",

abstract = "Feature localization (FL) is a basic activity in re-engineering legacy systems into software product lines. In this work, we explore the use of the Spectrum-based localization technique for this task. This technique is traditionally used for fault localization but with practical applications in other tasks like the dynamic FL approach that we propose. The ArgoUML SPL benchmark is used as a case study and we compare it with a previous hybrid (static and dynamic) approach from which we reuse the manual and testing execution traces of the features. We conclude that it is feasible and sound to use the Spectrum-based approach providing promising results in the benchmark metrics.",

keywords = "ArgoUML SPL benchmark, Dynamic feature localization, Spectrum-based localization, ArgoUML SPL benchmark, Dynamic feature localization, Spectrum-based localization",

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note = "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 = "10.1145/3461001.3473065",

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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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Michelon, GK, Sotto-Mayor, B, Martinez, J, Arrieta, A, Abreu, R & Assunção, WKG 2021, Spectrum-based feature localization: A case study using ArgoUML: A case study using ArgoUML. 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 (eds), unknown. vol. F171624-A, Part F171624-A, Association for Computing Machinery, pp. 126-130, 25th ACM International Systems and Software Product Line Conference, SPLC 2021, Virtual, Online, United Kingdom, 6/09/21. https://doi.org/10.1145/3461001.3473065

Spectrum-based feature localization: A case study using ArgoUML: A case study using ArgoUML. / Michelon, Gabriela K.; Sotto-Mayor, Bruno; Martinez, Jabier et al.
unknown. ed. / 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. Vol. F171624-A Association for Computing Machinery, 2021. p. 126-130 (Part F171624-A).

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

TY - GEN

T1 - Spectrum-based feature localization: A case study using ArgoUML

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

AU - Michelon, Gabriela K.

AU - Sotto-Mayor, Bruno

AU - Martinez, Jabier

AU - Arrieta, Aitor

AU - Abreu, Rui

AU - Assunção, Wesley K. G.

PY - 2021/9/6

Y1 - 2021/9/6

N2 - Feature localization (FL) is a basic activity in re-engineering legacy systems into software product lines. In this work, we explore the use of the Spectrum-based localization technique for this task. This technique is traditionally used for fault localization but with practical applications in other tasks like the dynamic FL approach that we propose. The ArgoUML SPL benchmark is used as a case study and we compare it with a previous hybrid (static and dynamic) approach from which we reuse the manual and testing execution traces of the features. We conclude that it is feasible and sound to use the Spectrum-based approach providing promising results in the benchmark metrics.

AB - Feature localization (FL) is a basic activity in re-engineering legacy systems into software product lines. In this work, we explore the use of the Spectrum-based localization technique for this task. This technique is traditionally used for fault localization but with practical applications in other tasks like the dynamic FL approach that we propose. The ArgoUML SPL benchmark is used as a case study and we compare it with a previous hybrid (static and dynamic) approach from which we reuse the manual and testing execution traces of the features. We conclude that it is feasible and sound to use the Spectrum-based approach providing promising results in the benchmark metrics.

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KW - Dynamic feature localization

KW - Spectrum-based localization

KW - ArgoUML SPL benchmark

KW - Dynamic feature localization

KW - Spectrum-based localization

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U2 - 10.1145/3461001.3473065

DO - 10.1145/3461001.3473065

M3 - Conference contribution

VL - F171624-A

T3 - Part F171624-A

SP - 126

EP - 130

BT - unknown

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

Y2 - 6 September 2021 through 11 September 2021

ER -

Michelon GK, Sotto-Mayor B, Martinez J, Arrieta A, Abreu R, Assunção WKG. Spectrum-based feature localization: A case study using ArgoUML: A case study using ArgoUML. 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, editors, unknown. Vol. F171624-A. Association for Computing Machinery. 2021. p. 126-130. (Part F171624-A). doi: 10.1145/3461001.3473065

Spectrum-based feature localization: A case study using ArgoUML: A case study using ArgoUML

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