Early detection of COTS component functional suitability
Information and Software Technology
Switch or Struggle: Risk Assessment for Late Integration of COTS Components
IWICSS '07 Proceedings of the Second International Workshop on Incorporating COTS Software into Software Systems: Tools and Techniques
Journal of Systems and Software
Domain analysis for supporting commercial off-the-shelf components selection
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
A goal-oriented strategy for supporting commercial off-the-shelf components selection
ICSR'06 Proceedings of the 9th international conference on Reuse of Off-the-Shelf Components
Decision support for off-the-shelf software selection in web development projects
ICWE'12 Proceedings of the 12th international conference on Current Trends in Web Engineering
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Identification of COTS candidates is a complex activity itself. It implies not only dealing with an impressive number of possible candidates but also with unstructured information that requires a careful analysis. In this context, some proposals currently use description logics to develop an ontology for matching requested and provided services, or propose taxonomies for classification; others suggest extending the identification stage with a learning phase, which provides support to the COTS component discovery process. In this paper, we present common features and differences among some of these proposals, identifying relevant issues for COTS component classification and identification in the near future.