DocumentCode :
496869
Title :
Detecting Functional Dependence Program Invariants Based on Data Mining
Author :
Liu Shukun ; Yang Xiaohua
Author_Institution :
Dept. of Comput. Sci. & Technol., Hunan Int. Econ. Univ., Changsha, China
Volume :
1
fYear :
2009
fDate :
18-19 July 2009
Firstpage :
332
Lastpage :
335
Abstract :
With the development of computer science and technology, software has been widely applied in all kinds of business. It has been a very popular and important application system. So the quality of software causes more serious attention than before. Design by program invariant is a very important method which is used to improve quality of software. In this paper, a theory model of dynamically detecting technology of program invariant was built. And a new method of dynamically generating technology of program invariant of functional dependence based on the theory of database was showed. In this way, program invariant of functional dependence can be detected in a nimble way. Experiments have been done and the result demonstrates that the method is obviously reliable and efficient.
Keywords :
computer science; data mining; software quality; business; computer science; data mining; functional dependence program; quality of software; Application software; Assembly; Computer science; Contracts; Data mining; Databases; Information processing; Instruments; Software quality; Testing; dynamically generating; program invariants; quality of software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
Type :
conf
DOI :
10.1109/APCIP.2009.91
Filename :
5197064
Link To Document :
بازگشت