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

TL;DR

This study evaluates the software quality of MARF and GIPSY case studies using CK and MOOD metrics, along with various tools, to demonstrate their effectiveness in object-oriented software assessment.

Contribution

It applies CK and MOOD metrics with multiple tools to assess software quality in two case studies, highlighting their strengths in object-oriented environments.

Findings

CK and MOOD metrics effectively measure software quality.

Tools like McCabe, Logiscope, and JDeodorant provide valuable insights.

MARFCAT detects vulnerable code files in both case studies.

Abstract

It is no longer a debate that quality is an essential requirement in any software product, especially in a highly competitive market and a context of mission critical product. To obtain better product quality, software metrics are the only reliable indicators provided to assess and measure this attribute of a software product. Several metrics have been elaborated but none of them were really convenient in an object oriented ecosystem. However, the MOOD metrics have proven their efficiency in gauging the software quality at system level, while CK Metrics measure the quality of software at class level . These metrics, well suited for Object-Oriented design, allow measuring object oriented design properties such as coupling, cohesion, encapsulation, Inheritance and polymorphism. The goal of the present study is using the mentioned metrics to assess the quality of two different case studies, MARF and GIPSY. For this purpose, different tools such as McCabe, Logiscope and, JDeodorant have been used to measure the quality of these projects by implementing in different manners the metrics composing the CK and MOOD suite metrics, whilst MARFCAT has been used to detect vulnerable code files in both case studies. The present study puts the light on the strengths of these tools to measure the quality of proven and largely researched software products.