A New Methodology to Rank Projects Using Multivariate Statistics

Author

De Oliveira, Karlson B. ; De Oliveira, Josyleuda Melo Moreira ; Filho, Raimir Holanda ; Belchior, Arnaldo D.

fYear

2007

fDate

9-11 June 2007

Firstpage

1

Lastpage

6

Abstract

Organizational evaluation is a complex activity which demands a lot of effort. In order to accomplish this activity it is necessary to identify good and bad projects to treat problems and to consider improvements. This paper presents a new methodology to rank projects using principal component analysis, a simple and efficient multivariate statistical method. This method aggregates project measurement indicators in just one score during the execution of the Organizational Evaluation macroactivity defined in the organizational software measurement process (OSMP).

Keywords

organisational aspects; principal component analysis; project management; software management; multivariate statistics; organizational evaluation; organizational software measurement process; principal component analysis; project measurement; project ranking; software production; Decision making; Performance evaluation; Principal component analysis; Process planning; Programming; Project management; Software development management; Software measurement; Statistical analysis; Statistics; Measurement process; Multivariate Statistics; Principal Component Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Systems and Service Management, 2007 International Conference on

Conference_Location

Chengdu

Print_ISBN

1-4244-0885-7

Electronic_ISBN

1-4244-0885-7

Type

conf

DOI

10.1109/ICSSSM.2007.4280143

Filename

4280143