A Model for Detecting Cost-Prone Classes Based on Mahalanobis-Taguchi Method(<Special Section>Knowledge-Based Software Engineering)
スポンサーリンク
概要
- 論文の詳細を見る
In software development, comprehensive software reviews and testings are important activities to preserve high quality and to control maintenance cost. However it would be actually difficult to perform comprehensive software reviews and testings because of a lot of components, a lack of manpower and other realistic restrictions. To improve performances of reviews and testings in object-oriented software, this paper proposes a novel model for detecting cost-prone classes; the model is based on Mahalanobis-Taguchi method-an extended statistical discriminant method merging with a pattern recognition approach. Experimental results using a lot of Java software are provided to statistically demonstrate that the proposed model has a high ability for detecting cost-prone classes.
- 社団法人電子情報通信学会の論文
- 2006-04-01
著者
-
YAMADA Hiroyuki
Faculty of Pharmaceutical Sciences, Science University of Tokyo
-
Yamada H
Faculty Of Engineering Ehime University
-
AMAN Hirohisa
Faculty of Engineering, Ehime University
-
MOCHIDUKI Naomi
Faculty of Engineering, Ehime University
-
Aman H
Faculty Of Engineering Ehime University
-
Mochiduki Naomi
Faculty Of Engineering Ehime University:(present Office)fujitsu Broad Solution & Consulting Inc.
-
Yamada Hiroyuki
Faculty of Engineering, Ehime University
関連論文
- DDFC: Decentralized Delay Fluctuation Control Algorithm for IEEE802.11-based Wireless LANs (特集 新時代の分散処理とネットワーク(WebサービスとP2P))
- Effect of Dibromochloropropane (DBCP) on the Hormone Receptors of the Male Rat Reproductive System
- EXPRESSION OF TYPE IV PROCOLLAGEN AND PROLYL 4-HYDROXYLASE mRNA IN CARBON TETRACHLORIDE-INDUCED LIVER FIBROSIS STUDIED BY IN SITU HYBRIDIZATION
- Localization of Procollagen mRNAs and Prolyl 4-hydroxylase mRNA in Liver Fibrosis by ___- ___- Hybridization
- Localization of α1(III)procollagen mRNA on liver fibrosis by in situ hybridization
- Formation of Defects in Near-Surface Region over Li or Mn-Doped MgO Studied by Mg K-Edge XANES
- A Model for Detecting Cost-Prone Classes Based on Mahalanobis-Taguchi Method(Knowledge-Based Software Engineering)
- A Simple Predictive Method for Discriminating Costly Classes Using Class Size Metric(Software Engineering)
- A Class Cohesion Metric Focusing on Cohesive-Part Size(Metrics, Test, and Maintenance)(Knowledge-Based Software Engineering)
- A Graph-Based Class Structural Complexity Metric and Its Evaluation(Special Issue on Knowledge-Based Software Engineering)
- A Proposal of Class Cohesion Metrics focusing on Sizes of Cohesive Parts
- A Metric for Class Structural Complexity Focusing on Relationships among Class Members (Special Issue on Knowledge-Based Software Engineering)
- A Constructing Method of Functional Model by Integrated Learning from Examples of Software Modification