DEVELOPMENT OF A PREDICTIVE TOOL FOR FAST CODING CREATION IN C++
Sergio Rodríguez-Miranda1, Luis Villanueva-Jimenez2 and Sergio LedesmaOrozco3
Currently the development of new programming codes faster and with fewer errors is a need that is just beginning to be satisfied. The use of artificial intelligence allows to model the characteristics of the codes made by a particular user and can model your style to program and generate codes easily and quickly. In this work, we prove the use of artificial intelligence like Markov chains are used as a mathematical model applied in N-gram algorithms which show great effectiveness in generating new programming codes in C ++. The tests carried out were directly elaborated in bigrams and trigrams which are of fast implementation and have a robust use to the variations of identifiers.
CURRICULUM EVALUATION SYSTEM (CES) FOR THE IFUGAO STATE UNIVERSITY
Jo Ann D. Doculan & Lannie May E. Santos College of Computing Sciences, Ifugao State University
This study focused on the development of a student curriculum evaluation system which facilitates speedy student evaluation during enrollment. The increase in student population adversely affected student curriculum evaluation. The process became slow and error-prone. The development of student curriculum evaluation system proved to be very beneficial to stakeholders. The software development model used was prototyping which is effective especially in data gathering. Survey results show that the software is strongly acceptable based on ISO 9126 Software Quality Metrics on Mandatory Requirement along functionality and Non-mandatory Requirements on acceptability along portability, reliability, usability, efficiency, and maintainability.
A Fair Model For Autonomic Bandwidth Management In Virtual Private NetWork
Hoda Khanjari1 and Samad MomenBellah2 and Mona Benhari3,Department of Engineering and Technology, PNU University,Iran.
In this paper, we address the problem of autonomic resource (bandwidth) management for Virtual Private Networks (VPNs). Resources management is one of the important problems facing most Internet Service Providers (ISPs). As a solution, the Autonomic Service Architecture (ASA) is proposed in the literature to automate the resources management. Although, this model is able to improve ISPs’ performance by automatically adjusting the resources (bandwidth) allocation of each customer, it still suffers from some limitations. To overcome limitations, a model for autonomic bandwidth management is proposed. Simulation results show that this model is able to efficiently utilize network resources, increase ISPs’ profit and customers’ satisfaction rates.
ADAPTATION OF WEB SERVICES TO THE CONTEXT BASED ON WORKFLOW: APPROACH FOR SELFADAPTATION OF SERVICE-ORIENTED ARCHITECTURES TO THE CONTEXT
Faical Felhi1 and Jalel Akaichi, Department of Computer Sciences, ISG, BESTMOD,Tunis, Tunisia
The emergence of Web services in the information space, as well as the advanced technology of SOA, give tremendous opportunities for users in an ambient space or distant, empowerment and organizations in various fields application, such as geolocation, E-learning, healthcare, digital government, etc.. In fact, Web services are a solution for the integration of distributed information systems, autonomous, heterogeneous and self-adaptable to the context. However, as Web services can evolve in a dynamic environment in a well-defined context and according to events automatically, such as time, temperature, location, authentication, etc.. We are interested in improving their SOA to empower the Web services to be self adaptive contexts. In this paper, we propose a new trend of self adaptability of Web services context. Then applying these requirements in the architecture of the platform of adaptability to context “WComp”, by integrating the workflow. Our work is illustrated by a case study of authentication.
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