[12] S. Hamad, R. Ammar, A. Raouf, and M. Khalifa, “A performance-driven clustering approach to minimize coupling in a DOO system,” the 20th International Con-ference on Parallel and Distributed Computing Systems, Las Vegas, Nevada, pp. 24-26, September 2007.

has been cited by the following article:

• TITLE: A Performance-Driven Approach for Restructuring Distributed Object-Oriented Software

  AUTHORS: Amal Abd El-Raouf, Tahany Fergany, Reda Ammar, Safwat Hamad

  KEYWORDS: Performance Modeling, Distributed Object Oriented, Restructuring Methodology

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.2 No.2, July 15, 2009

  ABSTRACT: Object oriented techniques make applications substantially easier to build by providing a high-level platform for appli-cation development. There have been a large number of projects based on the Distributed Object Oriented approach for solving complex problems in various scientific fields. One important aspect of Distributed Object Oriented systems is the efficient distribution of software classes among different processors. The initial design of the Distributed Object Oriented application does not necessarily have the best class distribution and may require to be restructured. In this paper, we propose a methodology for efficiently restructuring the Distributed Object Oriented software systems to get better performance. We use Distributed Object-Oriented performance (DOOP) model as guidance for our restructuring methodology. The proposed methodology consists of two phases. The first phase introduces a recursive graph clustering technique to partition the OO system into subsystems with low coupling. The second phase is concerned with mapping the generated partitions to the set of available machines in the target distributed architecture.