### Skapa referens, olika format (klipp och klistra)

**Harvard**

Liparas, D., Angelis, L. och Feldt, R. (2011) *Applying the Mahalanobis-Taguchi Strategy for Software Defect Diagnosis*.

** BibTeX **

@article{

Liparas2011,

author={Liparas, Dimitris and Angelis, Lefteris and Feldt, Robert},

title={Applying the Mahalanobis-Taguchi Strategy for Software Defect Diagnosis},

journal={Automated Software Engineering Journal},

issn={0928-8910},

volume={19},

issue={2},

pages={141-165},

abstract={The Mahalanobis-Taguchi (MT) strategy combines mathematical and statistical concepts like Mahalanobis distance, Gram-Schmidt orthogonalization and experimental designs to support diagnosis and decision-making based on multivariate data. The primary purpose is to develop a scale to measure the degree of abnormality of cases, compared to “normal” or “healthy” cases, i.e. a continuous scale from a set of binary classified cases. An optimal subset of variables for measuring abnormality is then selected and rules for future diagnosis are defined based on them and the measurement scale. This maps well to problems in software defect prediction based on a multivariate set of software metrics and attributes. In this paper, the MT strategy combined with a cluster analysis technique for determining the most appropriate training set, is described and applied to well-known datasets in order to evaluate the fault-proneness of software modules. The measurement scale resulting from the MT strategy is evaluated using ROC curves and shows that it is a promising technique for software defect diagnosis. It compares favorably to previously evaluated methods on a number of publically available data sets. The special characteristic of the MT strategy that it quantifies the level of abnormality can also stimulate and inform discussions with engineers and managers in different defect prediction situations.},

year={2011},

keywords={Software defect prediction},

}

** RefWorks **

RT Journal Article

SR Electronic

ID 154414

A1 Liparas, Dimitris

A1 Angelis, Lefteris

A1 Feldt, Robert

T1 Applying the Mahalanobis-Taguchi Strategy for Software Defect Diagnosis

YR 2011

JF Automated Software Engineering Journal

SN 0928-8910

VO 19

IS 2

SP 141

OP 165

AB The Mahalanobis-Taguchi (MT) strategy combines mathematical and statistical concepts like Mahalanobis distance, Gram-Schmidt orthogonalization and experimental designs to support diagnosis and decision-making based on multivariate data. The primary purpose is to develop a scale to measure the degree of abnormality of cases, compared to “normal” or “healthy” cases, i.e. a continuous scale from a set of binary classified cases. An optimal subset of variables for measuring abnormality is then selected and rules for future diagnosis are defined based on them and the measurement scale. This maps well to problems in software defect prediction based on a multivariate set of software metrics and attributes. In this paper, the MT strategy combined with a cluster analysis technique for determining the most appropriate training set, is described and applied to well-known datasets in order to evaluate the fault-proneness of software modules. The measurement scale resulting from the MT strategy is evaluated using ROC curves and shows that it is a promising technique for software defect diagnosis. It compares favorably to previously evaluated methods on a number of publically available data sets. The special characteristic of the MT strategy that it quantifies the level of abnormality can also stimulate and inform discussions with engineers and managers in different defect prediction situations.

LA eng

DO 10.1007/s10515-011-0091-2

LK http://www.springerlink.com/content/m850711n76m05177/

OL 30