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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Toward Entropy Based Metrics for Separation of Concerns

Toward Entropy Based Metrics for Separation of Concerns
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Author(s): Jana Dospisil (Monash University, Australia) and Nisha Leena Sinha Roy (Monash University, Australia)
Copyright: 2002
Pages: 4
Source title: Issues & Trends of Information Technology Management in Contemporary Organizations
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-930708-39-6.ch050
ISBN13: 9781930708396
EISBN13: 9781466641358


The claim of improved efficiency and decreased complexity of software of using tools such as Aspect/J or Hyper/J to separate different concerns in OO applications does not seem to have any theoretical underpinning. In this paper, we attempt to review the current research and suggest theoretical framework for complexity ranking in OO applications coded with Hyper/J.

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