The increasing importance being placed on software measurement has led to a
n increased amount of research developing new software measures. Given the
importance of object-oriented development techniques, one specific area whe
re this has occurred is coupling measurement in object-oriented systems. Ho
wever, despite a very interesting and rich body of work, there is little un
derstanding of the motivation and empirical hypotheses behind many of these
new measures. It is often difficult to determine how such measures relate
to one another and for which application they can be used. As a consequence
, it is very difficult for practitioners and researchers to obtain a clear
picture of the state-of-the-art in order to select or define measures for o
bject-oriented systems.
This situation is addressed and clarified through several different activit
ies. First, a standardized terminology and formalism for expressing measure
s is provided which ensures that all measures using it are expressed in a f
ully consistent and operational manner. Second, to provide a structured syn
thesis, a review of the existing frameworks and measures for coupling measu
rement in object-oriented systems takes place. Third, a unified framework,
based on the issues discovered in the review, is provided and all existing
measures are then classified according to this framework.
This paper contributes to an increased understanding of the state-of-the-ar
t: A mechanism is provided for comparing measures and their potential use,
integrating existing measures which examine the same concepts in different
ways, and facilitating more rigorous decision making regarding the definiti
on of new measures and the selection of existing measures for a specific go
al of measurement. In addition, our review of the state-of-the-art highligh
ts that many measures are not defined in a fully operational form, and rela
tively few of them are based on explicit empirical models, as recommended b
y measurement theory.