Article (Scientific journals)
Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants
Martinez, Jabier; Ziadi, Tewfik; Papadakis, Mike et al.
2018In Information and Software Technology
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Disciplines :
Computer science
Author, co-author :
Martinez, Jabier
Ziadi, Tewfik
Papadakis, Mike ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Bissyande, Tegawendé François D Assise  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Klein, Jacques ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Le Traon, Yves ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants
Publication date :
2018
Journal title :
Information and Software Technology
ISSN :
1873-6025
Publisher :
Elsevier, Amsterdam, Netherlands
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 24 November 2018

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