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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.911