A metrics suite for object oriented design (revised)
Name
MIT_CISR_WP_249_A_Metrics_Suite_for_Object_Oriented_Design_Chidamber_Kemerer.pdf
Size
1.12 MB
Format
Adobe PDF
Checksum (MD5)
9a97b18fa979de71dc61ef74c43c4e73
Author(s)
Chidamber, Shyam
Kemerer, Chris
Date Issued
January 1, 1993
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Chidamber, Shyam and Chris Kemerer. “A metrics suite for object oriented design (revised).” Working paper 249, Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 1993. https://dspace.mit.edu/handle/1721.1/175254.
Series/Report no.
MIT Sloan School of Management Working Paper 3524-93
CISR Working Paper 249
Abstract
Given the central role that software development plays in the delivery and application of information technology, managers are increasingly focusing on process improvement in the software development area. This demand has spurred the provision of a number of new and/or improved approaches to software development, with perhaps the most prominent being object-orientation (OO). In addition, the focus on process improvement has increased the demand for software measures, or metrics with which to manage the process. The need for such metrics is particularly acute when an organization is adopting a new technology for which established practices have yet to be developed. This research addresses these needs through the development and implementation of a new suite of metrics for OO design. Metrics developed in previous research, while contributing to the field's understanding of software development processes, have generally been subject to serious criticisms, including the lack of a theoretical base. Following Wand and Weber, the theoretical base chose for the metrics was the ontology of Bunge. Six design metrics are developed, and then analytically evaluated against Weyuker's proposed set of measurement principles. An automated data collection tool was then developed and implemented to collect an empirical sample of these metrics at two field sites in order to demonstrate their feasibility and suggest ways in which managers may use these metrics for process improvement.
Subjects
Class
Complexity
Design
Management
Measurement
Metrics
Object Orientation
Performance
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