Title :
Experience using Web-based shotgun measures for large-system characterization and improvement
Author :
McLellan, Sam ; Roesler, A. ; Fei, Zongming ; Chandran, Savita ; Spinuzzi, Clay
Author_Institution :
Schlumberger Lab. for Comput. Sci., Austin, TX, USA
fDate :
4/1/1998 12:00:00 AM
Abstract :
This article discusses our experience in using a World Wide Web-based shotgun measurement approach for mining and characterizing large software systems. The approach recognizes that measurement information is essentially management information, that different levels and functions of the organizational hierarchy require different information to make decisions, and that a measurement program is typically a discovery process about an organization´s current modes of operations. What we found was the usefulness of a measurement program that also allows managers to dynamically formulate new goals and get answers to questions not specifically related to original goals but raised nonetheless by metric data. We describe three specific cases of decisions that were made using this approach and data collected from one large system and accessed using the company´s intranet over the past two years
Keywords :
configuration management; software metrics; very large databases; Web-based shotgun measures; World Wide Web; characterization; improvement paradigm; intranet; large-system characterization; measurement program; process improvement; shotgun measures; software metrics; software mining; software reuse; Application software; Current measurement; Information management; Multidimensional systems; Software development management; Software libraries; Software measurement; Software systems; Software tools; Systems engineering and theory;
Journal_Title :
Software Engineering, IEEE Transactions on