Abstract—With the rise of the OO paradigm has come the acceptance that conventional software metrics are not adequate to measure object-oriented systems. This has inspired a number of software practitioners and academics to develop new metrics that are suited to the OO paradigm. The MOOD metrics have been subjected to much empirical evaluation, with claims made regarding the usefulness of the metrics to assess external attributes such as quality and maintain ability. We evaluate the MOOD metrics on a theoretical level and show that any empirical validation is premature due to the majority of the MOOD metrics being fund a mentally flawed. The metrics either fail to meet the MOOD team's own criteria or are founded on an imprecise, and in certain cases inaccurate, view of the OO paradigm. One of the suite of OO design measure was proposed by Chidamber and Kemerer. The author of this suite of metrics claim that these measure can aid users in understanding object oriented design complexity and in predicting external software qualities such as software defects, testing, and maintenance effort. Use of the CK set of metrics and other complexity measures are gradually growing in industry acceptance. This is reflected in the increasing number of industrial software tools,such as Rational Rose, that enable automated computation of these metrics. Even though this metric suite is widely, empirical validations of these metrics in real world software development setting are limited. Various flaws and inconsistencies have been observed in the suite of six class based metrics. We validate some solutions to some of these anomalies and clarify some important aspects of OO design, using Six projects in particular those aspects that may cause difficulties when attempting to define accurate and meaningful metrics. These suggestions are not limited to the MOOD and CK metrics but are intended to have a wider applicability in the field of OO metrics.
Index Terms—CK Metric, MOOD Metric Suit, Cohesion,Coupling, Object Oriented.
Cite: Amandeep Kaur, Satwinder Singh, Dr. K. S. Kahlon and Dr. Parvinder S. Sandhu, " Empirical Analysis of CK & MOOD Metric Suit," International Journal of Innovation, Management and Technology vol. 1, no. 5, pp. 447-452, 2010.