Measure extendibility/extensibility quality attribute using object oriented design metric

Software design is one of the very important phases of the software engineering. The costs of software can be minimized if improvements or corrections made during this stage. Several of the current computer aided software engineering (CASE) tools like enterprise architect (EA) v12 do not have the capability to improve the design. This work aims to develop an algorithm that helps the software engineers evaluating the design quality utilizing one of the object-oriented (OO) design models namely quality metrics for object-oriented design (QMOOD) which represents as hierarchical model that describes the relationship between quality attributes such as reusability, extendibility and properties of the design of OO design. This algorithm describesed how the assessment of the extendibility/ extensibility using the software metrics has been done and the impact of the involved metrics in the extendibility value. Results obtained demonstrate the effect of OO design metrics such as inheritance, polymorphism, abstraction and coupling in quality characteristics like extensibility. The results show that lower values of abstraction and coupling, obtain higher value of extendibility which means the class diagram is ready to accept additional improvements. The proposed algorithm has been tested on two different systems (test cases) that vary in their class diagrams, functionalities, and complexities

The Development of a Service Oriented Architecture for Digital Services on Maritime Vessels.

Mechanical and Mechatronic Engineerin

Technology 2002: The Third National Technology Transfer Conference and Exposition, volume 2

Proceedings from symposia of the Technology 2002 Conference and Exposition, December 1-3, 1992, Baltimore, MD. Volume 2 features 60 papers presented during 30 concurrent sessions

Metrics for evaluating modularity and extensibility in HMAS systems

Nowadays, software systems are more and more frequently designed in order to realize complex dynamical behavior for solving complicated problems. Holonic Multi Agent Systems (HMAS) is spreading for the development of such systems since they allow to manage system requirements in terms of behaviors and organizational patterns. Traditional software engineering metrics are not useful for measuring HMAS architectures since they do not consider different nested levels of organizational structures. We want to contribute to this issue proposing some metrics for evaluating modularity and extensibility of HMAS architectures