Elastic component characterization with respect to quality properties: an intuitionistic fuzzy-based approach

George Kakarontzas, Vassilis C. Gerogiannis, Ioannis Stamelos, Panagiotis Katsaros

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Component selection based on quality properties is a fuzzy process because measurable component attributes cannot be attributed with certainty to high-level quality properties such as the ones proposed by the ISO/IEC 9126 quality model and other similar models. In addition, measurable component quality attributes can be characterized differently for different application domains (e.g., a total execution time value can be considered very satisfactory for one application domain and extremely unsatisfactory for another). In this paper we demonstrate the usage of an intuitionistic fuzzy approach in selecting components originating from an elastic component repository. Elastic components are the output of a qualitydriven process for component development that results in component variants based on quality discrimination. During reuse, utilization of intuitionistic fuzzy sets can be proven an efficient solution to derive a first-level characterization of the available components, by considering not only the uncertainty of the reusers but also their hesitation degree.

Original languageEnglish
Title of host publicationProceedings - 2011 Panhellenic Conference on Informatics, PCI 2011
Pages270-274
Number of pages5
DOIs
Publication statusPublished - 2011
Event15th Panhellenic Conference on Informatics, PCI 2011 - Kastonia, Greece
Duration: 30 Sep 20112 Oct 2011

Other

Other15th Panhellenic Conference on Informatics, PCI 2011
CountryGreece
CityKastonia
Period30/09/112/10/11

Keywords

  • Component selection
  • Elastic components
  • Intuitionistic fuzzy sets
  • Quality requirements

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    Kakarontzas, G., Gerogiannis, V. C., Stamelos, I., & Katsaros, P. (2011). Elastic component characterization with respect to quality properties: an intuitionistic fuzzy-based approach. In Proceedings - 2011 Panhellenic Conference on Informatics, PCI 2011 (pp. 270-274). [6065100] https://doi.org/10.1109/PCI.2011.27