DocumentCode
3502101
Title
Data Mining Based Measurement Method for Software Trustworthiness
Author
Yuyu, Yuan ; Qiang, Han
Author_Institution
Sch. of Comput. Sci. & Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2010
fDate
28-29 Oct. 2010
Firstpage
293
Lastpage
296
Abstract
Measurement methods have significant meaning for user´s trust to software trustworthiness. Data mining is one of technologies through which measurement methods and tools can collect trustworthiness data to calculate software trustworthiness. In this paper, a Measurement Method based on Data Mining (MMDM) is proposed, trying to improve correctness of conclusion made by user toward provider´s service trustworthiness. This method introduces the formal definitions of trust and trustworthiness, static and dynamic trustworthiness data into measurement principle, then illustrates MMDM in detail with formal Software Trustworthiness Measurement Language (STML), thus to reflect software trustworthiness, assist user to make correct decision.
Keywords
data mining; formal languages; software performance evaluation; user interfaces; data mining; formal language; measurement method; software trustworthiness measurement language; trust computing; Computer architecture; Computer science; Data mining; Heuristic algorithms; Software; Software measurement; Web services; data mining; measurement; trust; trustworthiness;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
Conference_Location
Huanggang
Print_ISBN
978-1-4244-8148-4
Electronic_ISBN
978-0-7695-4196-9
Type
conf
DOI
10.1109/IPTC.2010.61
Filename
5662443
Link To Document