DIG: a tool for software process data extraction and grooming

Author

Miller, Scott D. ; Mathur, Aditya P. ; DeCarlo, Raymond A.

Author_Institution

Comput. Sci., Purdue Univ., West Lafayette, IN, USA

Volume

1

fYear

2005

fDate

26-28 July 2005

Firstpage

35

Abstract

A data collection and grooming tool named DIG is reported. The tool allows the management of a software process to be able to extract data from a variety of project repositories, groom the data, and generate reports. The reports are aimed at assisting the management in the control of the software development process. DIG allows management to build a complete representation of the productivity data in order to better tease out the parameters and understand the causes of variation in the data. In addition, the data obtained and groomed by DIG may be used to calibrate and apply process control models.

Keywords

data mining; productivity; project management; software development management; software process improvement; software tools; DIG tool; data collection; data grooming; process control model; productivity data; project repository; report generation; software development process; software process data extraction; software process management; software tool; Data engineering; Data mining; Management training; Predictive models; Process control; Productivity; Programming; Project management; Software testing; Software tools;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Software and Applications Conference, 2005. COMPSAC 2005. 29th Annual International

ISSN

0730-3157

Print_ISBN

0-7695-2413-3

Type

conf

DOI

10.1109/COMPSAC.2005.70

Filename

1509994