RT Conference Proceedings
T1 Spectrum-based feature localization: A case study using ArgoUML: 												A case study using ArgoUML
A1 Michelon, Gabriela K.
A1 Sotto-Mayor, Bruno
A1 Martinez, Jabier
A1 Arrieta, Aitor
A1 Abreu, Rui
A1 Assunção, Wesley K. G.
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
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.
PB Association for Computing Machinery
SN 9781450384698
YR 2021
FD 2021-09-06
LA eng
NO 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 , 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
NO conference
NO Publisher Copyright: © 2021 ACM.
DS TECNALIA Publications
RD 1 jul 2024