Abstract
Typically, COTS evaluations embody a first stage intended to determine rapidly which products are suitable in a target context. This stage –called “filtering” or “screening” – chooses a set of alternatives to be considered for more detailed evaluation. For successful filtering processes, composers increasingly focus on closing the gap between required and offered functionality, hence reducing ambiguity of information for comparison. In this paper, we introduce a filtering process, which is based on early measurement of functional suitability of COTS candidates. Measures are immersed in a Six Sigma-based process aiming at improving the filtering process itself as well as its deliverables.
Keywords
- Software Architecture
- Software Reuse
- Enterprise Information System
- Target Context
- Sigma Project
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This work is partially supported by the CyTED project VII-J-RITOS2, by the UNComa project 04/E059, and by the MAS project (TIC 2003-02737-C02-02).
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Cechich, A., Piattini, M. (2005). Filtering COTS Components Through an Improvement-Based Process. In: Franch, X., Port, D. (eds) COTS-Based Software Systems. ICCBSS 2005. Lecture Notes in Computer Science, vol 3412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30587-3_21
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DOI: https://doi.org/10.1007/978-3-540-30587-3_21
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