Neural Network Based Model Refinement

In this paper, model bases and model generators are presented in the context of model refinement. This article proposes a neural network based model refinement technique for software metrics estimation. Neural networks are introduced as instruments of model refinement. A refinement technique is proposed for ranking and selecting input variables. A case study shows the practice of model refinement using neural networks.model refinement, neural network, software metrics, Model generators

Project Management Methodology for the Development of M-Learning Web Based Applications

M-learning web based applications are a particular case of web applications designed to be operated from mobile devices. Also, their purpose is to implement learning aspects. Project management of such applications takes into account the identified peculiarities. M-learning web based application characteristics are identified. M-learning functionality covers the needs of an educational process. Development is described taking into account the mobile web and its influences over the analysis, design, construction and testing phases. Activities building up a work breakdown structure for development of m-learning web based applications are presented. Project monitoring and control techniques are proposed. Resources required for projects are discussed.Software Project Management, M-Learning Applications, Web Applications, Methodology

Structure Refinement for Vulnerability Estimation Models using Genetic Algorithm Based Model Generators

In this paper, a method for model structure refinement is proposed and applied in estimation of cumulative number of vulnerabilities according to time. Security as a quality characteristic is presented and defined. Vulnerabilities are defined and their importance is assessed. Existing models used for number of vulnerabilities estimation are enumerated, inspecting their structure. The principles of genetic model generators are inspected. Model structure refinement is defined in comparison with model refinement and a method for model structure refinement is proposed. A case study shows how the method is applied and the obtained results.model structure refinement, model generators, gene expression programming, software vulnerabilities, performance criteria, software metrics

Optimization of Antivirus Software

The paper describes the main techniques used in development of computer antivirus software applications. For this particular category of software, are identified and defined optimum criteria that helps determine which solution is better and what are the objectives of the optimization process. From the general viewpoint of software optimization are presented methods and techniques that are applied at code development level. Regarding the particularities of antivirus software, the paper analyzes some of the optimization concepts applied to this category of applicationsoptimization, software, antivirus, optimum, criteria

A Windows Phone 7 Oriented Secure Architecture for Business Intelligence Mobile Applications

This paper present and implement a Windows Phone 7 Oriented Secure Architecture for Business Intelligence Mobile Application. In the developing process is used a Windows Phone 7 application that interact with a WCF Web Service and a database. The types of Business Intelligence Mobile Applications are presented. The Windows mobile devices security and restrictions are presented. The namespaces and security algorithms used in .NET Compact Framework for assuring the application security are presented. The proposed architecture is showed underlying the flows between the application and the web service.Security, Secure Architecture, Mobile Applications, Business Intelligence, Web Service

Project Management Methodology for the Development of M-Learning Web Based Applications

M-learning web based applications are a particular case of web applications designed to be operated from mobile devices. Also, their purpose is to implement learning aspects. Project management of such applications takes into account the identified peculiarities. M-learning web based application characteristics are identified. M-learning functionality covers the needs of an educational process. Development is described taking into account the mobile web and its influences over the analysis, design, construction and testing phases. Activities building up a work breakdown structure for development of m-learning web based applications are presented. Project monitoring and control techniques are proposed. Resources required for projects are discussed

PROPERTIES OF THE COLLABORATIVE SYSTEMS METRICS

The paper describes the key properties of the collaborative systems. There are presented main quality characteristics for the collaborative systems. The paper analyzes different types of indicators. They represent the base for further metrics definition. There are described the indicators most important characteristics as sensitivity, non catastrophic, non compensatory and representatives.collaborative systems

A Windows Phone 7 Oriented Secure Architecture for Business Intelligence Mobile Applications

This paper present and implement a Windows Phone 7 Oriented Secure Architecture for Business Intelligence Mobile Application. In the developing process is used a Windows Phone 7 application that interact with a WCF Web Service and a database. The types of Business Intelligence Mobile Applications are presented. The Windows mobile devices security and restrictions are presented. The namespaces and security algorithms used in .NET Compact Framework for assuring the application security are presented. The proposed architecture is showed underlying the flows between the application and the web service

Properties of the Collaborative Systems Metrics

The paper describes the key properties of the collaborative systems. There are presented main quality characteristics for the collaborative systems. The paper analyzes different types of indicators. They represent the base for further metrics definition. There are described the indicators most important characteristics as sensitivity, non catastrophic, non compensatory and representatives.collaborative system, metric

Neural Network Based Model Refinement

In this paper, model bases and model generators are presented in the context of model refinement. This article proposes a neural network based model refinement technique for software metrics estimation. Neural networks are introduced as instruments of model refinement. A refinement technique is proposed for ranking and selecting input variables. A case study shows the practice of model refinement using neural networks