DocumentCode
2211903
Title
Research of E-Commerce Software Quality Evaluation Using Rough Set Theory
Author
Shi Huiling ; Ma Jun ; Zou Fengyi
Author_Institution
Shandong Comput. Sci. Center, Jinan, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
3006
Lastpage
3009
Abstract
In order to overcome the subjectivity on weight allocation of the traditional evaluation methods in e-commerce software quality evaluation, based on the object classification capability of rough set theory, the paper presents a completely data-driven e-commerce software quality evaluation method using measurement methods of knowledge dependence and attribute importance in rough set theory. It overcomes the subjectivity and ambiguity of traditional evaluation methods. An example is presented to explain the evaluation process.
Keywords
electronic commerce; rough set theory; software quality; attribute importance; e-commerce software quality evaluation; knowledge dependence; measurement method; object classification; rough set theory; Computer science; Data engineering; Electronic commerce; Information science; Information systems; Knowledge engineering; Resource management; Set theory; Software measurement; Software quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.911
Filename
5454693
Link To Document