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It is no longer a debate that quality is an essential requirement in anysoftware product, especially in a highly competitive market and a context ofmission critical product. To obtain better product quality, software metricsare the only reliable indicators provided to assess and measure this attributeof a software product. Several metrics have been elaborated but none of themwere really convenient in an object oriented ecosystem. However, the MOODmetrics have proven their efficiency in gauging the software quality at systemlevel, while CK Metrics measure the quality of software at class level . Thesemetrics, well suited for Object-Oriented design, allow measuring objectoriented design properties such as coupling, cohesion, encapsulation,Inheritance and polymorphism. The goal of the present study is using thementioned metrics to assess the quality of two different case studies, MARF andGIPSY. For this purpose, different tools such as McCabe, Logiscope and,JDeodorant have been used to measure the quality of these projects byimplementing in different manners the metrics composing the CK and MOOD suitemetrics, whilst MARFCAT has been used to detect vulnerable code files in bothcase studies. The present study puts the light on the strengths of these toolsto measure the quality of proven and largely researched software products.

Toward Software Measurement and Quality Analysis of MARF and GIPSY Case Studies a Team 13 SOEN6611-S14 Project Report