Use of data mining in system development life cycle

Authors:
Richi Nayak;Tian Qiu
Affiliations:
School of Information Systems, QUT, Brisbane, QLD, Australia;EDS Credit Services, Adelaide, Australia
Venue:
Data Mining
Year:
2006

Citing 8
Cited 0

Data mining library reuse patterns using generalized association rules

Proceedings of the 22nd international conference on Software engineering
Data mining: concepts and techniques

Data mining: concepts and techniques
Comments on "More Success and Failure Factors in Software Reuse"

IEEE Transactions on Software Engineering
Applying data mining to software maintenance records

CASCON '03 Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research
Predicting Source Code Changes by Mining Change History

IEEE Transactions on Software Engineering
An exploratory study of object-oriented software component size determinants and the application of regression tree forecasting models

Information and Management
The k-means clustering architecture in the multi-stage data mining process

ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Knowledge discovery for training intelligent agents: methodology, tools and applications

AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining

Quantified Score

Hi-index	0.00

Visualization

Abstract

During the life cycle of a software development project, many problems arise. Resolutions to these problems are time consuming and expensive. This paper discusses the use of data mining in solving some of these problems to improve the system development life cycle process. A case study of applying data mining to the software Problem Report management data is also presented. The empirical results demonstrate the capability and benefit of data mining analysis in systems development life cycle.