@article {Elmir201452,
	title = {Multiobjective optimization of information system quality enhancement},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {70},
	number = {1},
	year = {2014},
	note = {cited By 0},
	pages = {52-61},
	abstract = {Organizations have to efficiently manage efforts they deploy in order to enhance and ensure information system quality. Unlike other research works addressing this issue, the present proposal handle quality characteristics, such interoperability and security, by taking into account the subsisting complementarity between the different quality factors, their interactions and mutual effects. This paper considers the use of multiobjective optimization techniques in order to plan effectively quality evolution in inter organizational context. To ensure this effectiveness goal, this paper proposes initially a model to represent quality evolution and planning. Quality degrees are evaluated using ratio metrics taking into account all operational assessment aspects. In a second stage, a Multi Objective Particle Swarm optimization (MOPSO) algorithm is used as a heuristic optimization technique to obtain the best efforts distribution in collaborative networks. {\textcopyright} 2005 - 2014 JATIT \& LLS. All rights reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919789201\&partnerID=40\&md5=da36d7c226dd836d764f69c35231ced2},
	author = {Elmir, A.a and El Hami, N.b and Elmir, B.a and Bounabat, B.a and Ellaia, R.c and Itmi, M.d}
}
