SADT: structured analysis and design technique
SADT: structured analysis and design technique
The use of mediation and ontology technologies for software component information retrieval
SSR '01 Proceedings of the 2001 symposium on Software reusability: putting software reuse in context
Defining and Applying Measures of Distance Between Specifications
IEEE Transactions on Software Engineering
Six SIGMA Software Development
Six SIGMA Software Development
Challenges in COTS decision-making: a goal-driven requirements engineering perspective
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
eCots Platform: An Inter-industrial Initiative for COTS-Related Information Sharing
ICCBSS '03 Proceedings of the Second International Conference on COTS-Based Software Systems
Overlooked Aspects of COTS-Based Development
IEEE Software
An ontology for software component matching
FASE'03 Proceedings of the 6th international conference on Fundamental approaches to software engineering
Towards a knowledge-based framework for COTS component identification
MPEC '05 Proceedings of the second international workshop on Models and processes for the evaluation of off-the-shelf components
Early detection of COTS component functional suitability
Information and Software Technology
COTS Selection Best Practices in Literature and in Industry
ICSR '08 Proceedings of the 10th international conference on Software Reuse: High Confidence Software Reuse in Large Systems
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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.