ELearning Software Maintenance Diagnostic Model supported by a Decision Support System

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Create DateApril 15, 2018
Last UpdatedApril 15, 2018

elearning projects often give most of their attention to the design of the content of the course, giving less consideration to its maintainability. By omitting this, elearning specialists do not take into account all the software maintenance activities required over time. Maintenance of software accounts for more than 80% of the cost of software over time. Changes of online courses may vary from basic text and graphic changes, editing complex animation and video, to wide-scale translation and localization requirements. Additional to content changes, many technology evolutions may be required over the life time of the course. This research intends to provide elearning specialists with an early software diagnostic model to help them in early identification of software maintainability issues during their elearning initiative. This will allow them to take proactive decisions during the development stage of an online course.

Authors: Yasmine Félix, Alain April, École de Technologie Supérieure, Montréal
Published in : Proceedings of the Worldcomp 2011 conference proceedings, july 18-21, Nevada, USA

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I am full professor of Software Engineering at the University of Québec in Montréal, in its Software Engineering faculty. I have more than 30 years of Helthcare, Finance/Banking and Telecommunications IT industry experience, especially in Cloud Computing, Big Data, software acquisition, contracts, software quality assurance and business process management. I am more comfortable with open source, practical applications and technology transfer to industry.
Currently I concentrate on research projects. In the past I was the recipient of the ISO award for higher education in standardization in 2011, as well as the chair of the Software Engineering gratuate program and of the Software Engineering departement. I also published Software Engineering Books: Software Maintenance Improvement and Software Quality Assurance.