DocumentCode :
176187
Title :
Enhancing Clone-and-Own with Systematic Reuse for Developing Software Variants
Author :
Fischer, Shannon ; Linsbauer, Lukas ; Lopez-Herrejon, Roberto Erick ; Egyed, Alexander
Author_Institution :
Johannes Kepler Univ., Linz, Austria
fYear :
2014
fDate :
Sept. 29 2014-Oct. 3 2014
Firstpage :
391
Lastpage :
400
Abstract :
To keep pace with the increasing demand for custom-tailored software systems, companies often apply a practice called clone-and-own, whereby a new variant of a software system is built by coping and adapting existing variants. Instead of a single and configurable system, clone-and-own leads to ad hoc product portfolios of multiple yet similar variants that soon become impossible to maintain effectively. Clone-and-own has widespread industrial use because it requires no major upfront investments and is intuitive, but it lacks a methodology for systematic reuse. In this work we propose ECCO (Extraction and Composition for Clone-and-Own), a novel approach to enhance clone and-own that actively supports the development and maintenance of software product variants. A software engineer selects the desired features and ECCO finds the proper software artifacts to reuse and then provides guidance during the manual completion by hinting which software artifacts may need adaptation. We evaluated our approach on 6 case studies, covering 402 variants having up to 344KLOC, and found that precision and recall of composed products quickly reach a near optimum (>95% reuse).
Keywords :
investment; software maintenance; software reusability; ECCO approach; ad hoc product portfolios; clone-and-own enhancement; custom-tailored software systems; extraction and composition for clone-and-own approach; software artifacts; software product variant maintenance; software variant development; systematic reuse; Color; Feature extraction; Java; Manuals; Portfolios; Software; Solids; clone-and-own; feature interactions; features; product variants; reuse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance and Evolution (ICSME), 2014 IEEE International Conference on
Conference_Location :
Victoria, BC
ISSN :
1063-6773
Type :
conf
DOI :
10.1109/ICSME.2014.61
Filename :
6976105
Link To Document :
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