A Dynamic Contextual Change Management Application for Real Time Decision-Making Support

Decision making is a fundamental process within organizations for many reasons. It is indeed involved at all levels (new product decisions, management and marketing decisions, etc.) and has a direct impact on companies’ efficiency and effectiveness. Many researches are conducted to enhance the decision-making process by proposing decision support systems where the most frequent challenge is the change management. Indeed, all businesses operate within an environment that is subject to constant changes (like new customers’ needs and requirements, organisational and technological changes, changes in key information used to derive decisions, etc.). These changes have a major impact on the quality and accuracy of the proposed decision if they are not detected and propagated, at the right time, during the decision-making process. The present work attempts to resolve this challenge by proposing a dynamic change management technique that allows three tasks to be automatically performed. First, continuously detect changes and note them. Second, retrieve from the detected changes those that are related to the decision rules. Finally, propagate them by computing the new value of the decision rule. The proposal has been fully implemented and tested in the supervision process of gas network exploitation.projet FUI Gontran

Introductory programming: a systematic literature review

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research

Priority based expansion of neighborhood size for heterogeneous traffic routing in WSN

This paper presents a new routing scheme that adapts to the requirements of heterogeneous traffic. The proposed scheme introduces further improvements to our developed ExtTeGAR algorithm. The aim of the scheme is to achieve low latency and to satisfy multiple quality of service (QoS) in various network conditions. In doing so, the proposed approach exploits multiple nodes’ attributes such as energy, distance to the base station (BS), history of hop delay of data to neighbors and probability of link availability to determine the best node for delivering different traffic requirements. The contribution of the scheme is its ability to differentiate the required data-related to each type of traffic and give different priorities to different data categories so that each type of traffic classification ensures to meet the demands of the application requirements. The proposed scheme uses a distance-based and a location-aware approach to create a shortest path for type of packets with given deadlines and it provides adaptability to increase the transmission range to expand the neighborhood sizes for data delivery continuation. The paper shows that the proposed scheme outperforms an existing QoS routing algorithm (SPEED) in various application scenarios and different network sizes