Title :
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
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;
Conference_Titel :
Computer Software and Applications Conference, 2005. COMPSAC 2005. 29th Annual International
Print_ISBN :
0-7695-2413-3
DOI :
10.1109/COMPSAC.2005.70
