A Standard Process for Data Mining Based Software Debugging

Author

Kou, Gang ; Peng, Yi

Author_Institution

Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu

Volume

2

fYear

2008

fDate

2-4 Sept. 2008

Firstpage

149

Lastpage

152

Abstract

The importance of software is increasing in scientific research and our daily life. Meanwhile, the cost and consequences of software failure caused by software bugs become more and more serious. This paper proposes a standard process for data mining based software debugging. The proposed process provides guidelines for software testing engineers and researchers on how to apply data mining techniques and software testing theory on real life software testing projects. This paper defined the DM based software debugging project as a five-step process: (1) Establish the software testing project; (2) Data collecting, cleaning and transformation; (3) Select, train and verify the data mining models; (4) Classify, locate and describe the software bug found in previous steps; and (5) deploy the knowledge gained into real life software testing project.

Keywords

data mining; program debugging; program testing; program verification; software reliability; data cleaning; data collection; data mining model verification; data transformation; software debugging; software failure; software testing project; standard data mining process; Cleaning; Computer bugs; Costs; Data engineering; Data mining; Delta modulation; Guidelines; Software debugging; Software standards; Software testing; data mining; debugging; process and framework; software testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on

Conference_Location

Gyeongju

Print_ISBN

978-0-7695-3322-3

Type

conf

DOI

10.1109/NCM.2008.69

Filename

4624133