DocumentCode :
2360279
Title :
A Novel Fuzzy Logic Based Software Component Selection Modeling
Author :
Nazir, Shah ; Khan, Muhammad Amir ; Anwar, Sajid ; Khan, Humaira ; Nazir, Muhammad
Author_Institution :
Inst. of Manage. Sci., Peshawar, Pakistan
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
Software component selection is the most important part of component based software development. A large amount of time is invested in searching and selecting the most appropriate component from component repository. Different methods are used to select components quickly and efficiently. In the proposed method we have used part of off the shelf option and fuzzy logic methodology for components selection. The proposed methodology incorporates several important factors such as efficiency, reusability, portability, functionality, security, testability and maintenance. The methodology is illustrated and evaluated using hypothetical case study.
Keywords :
fuzzy logic; fuzzy reasoning; fuzzy set theory; object-oriented programming; security of data; software maintenance; software portability; software reliability; software reusability; component based software development; component repository; component searching; fuzzy inference system; fuzzy logic; fuzzy set theory; off the shelf option; software component selection modeling; software efficiency; software functionality; software maintenance; software portability; software reusability; software security; software testability; Electronic mail; Fuzzy logic; Maintenance engineering; Programming; Security; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Applications (ICISA), 2012 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4673-1402-2
Type :
conf
DOI :
10.1109/ICISA.2012.6220925
Filename :
6220925
Link To Document :
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