Title :
Indentifying Fault-Prone Object in the Web Service
Author :
Kapsu Kim ; Myunghui Hong
Author_Institution :
Dept. of Comput. Educ., Seoul Nat. Univ. of Educ., Seoul, South Korea
Abstract :
The faults in web services are very variant. They are occurred by software complexity. This paper focuses on identifying the fault-prone objects in the Web service that are very complex and different. At first define software complexity metrics for the web service. The technique is successful in classifying objects with relatively low error rate. This procedure shows very useful method in the detection of objects, which occur the fault of web services with high potential.
Keywords :
Web services; computational complexity; object detection; software fault tolerance; software metrics; Web service fault; error rate; fault-prone object identification; object classification; object detection; software complexity metrics; Complexity theory; Covariance matrices; Measurement; Object oriented modeling; Unified modeling language; Web services;
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
DOI :
10.1109/ICISA.2013.6579478
