Mining features from the object-oriented source code of software variants by combining lexical and structural similarity

Author

Al-msie´deen, R. ; Seriai, A.-D. ; Huchard, M. ; Urtado, Christelle ; Vauttier, S.

Author_Institution

LIRMM, Montpellier 2 Univ., Montpellier, France

fYear

2013

fDate

14-16 Aug. 2013

Firstpage

586

Lastpage

593

Abstract

Migrating software product variants which are deemed similar into a product line is a challenging task with main impact in software reengineering. To exploit existing software variants to build a software product line (SPL), the first step is to mine the feature model of this SPL which involves extracting common and optional features. Thus, we propose, in this paper, a new approach to mine features from the object-oriented source code of software variants by using lexical and structural similarity. To validate our approach, we applied it on ArgoUML, Health Watcher and Mobile Media software. The results of this evaluation showed that most of the features were identified¹.

Keywords

data mining; feature extraction; object-oriented programming; product development; software reusability; source coding; systems re-engineering; ArgoUML; Health Watcher; Mobile Media software; SPL; feature extraction; feature mining; lexical similarity; object-oriented source code; software product line; software product variant; software reengineering; structural similarity; Buildings; Couplings; Data mining; Large scale integration; Object oriented modeling; Shape; Software; Formal Concept Analysis; Latent Semantic Indexing; Software Product Line; code dependencies; feature mining; software product variants; structural similarity;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on

Conference_Location

San Francisco, CA

Type

conf

DOI

10.1109/IRI.2013.6642522

Filename

6642522