Determining prerogative by factors of significance, logical or programming controller

Advances in information technology design computer systems and networks helped to deepen the study of the processes that can lead to loss of integrity, confidentiality or availability of information or even its destruction. Information technology protect the confidentiality of information in computer systems and networks for the present time by following directions - SDN (software-defined networking) and ACI (Application Centric Infrastructure). Given the trends of information technology and approaches to problem-solving information security important task is to determine the appropriate direction through the use of a decision support system to further improve the selected information technology. Using decision support system conducted experimental verification of analytical model that allows you to answer about the merits of one or another system chosen key measurements and metrics, identify the strengths and weaknesses of the systems that will allow for further development and open up new opportunities

Determining prerogative by factors of significance, logical or programming controller

Advances in information technology design computer systems and networks helped to deepen the study of the processes that can lead to loss of integrity, confidentiality or availability of information or even its destruction. Information technology protect the confidentiality of information in computer systems and networks for the present time by following directions - SDN (software-defined networking) and ACI (Application Centric Infrastructure). Given the trends of information technology and approaches to problem-solving information security important task is to determine the appropriate direction through the use of a decision support system to further improve the selected information technology. Using decision support system conducted experimental verification of analytical model that allows you to answer about the merits of one or another system chosen key measurements and metrics, identify the strengths and weaknesses of the systems that will allow for further development and open up new opportunities

Network-based metrics for assessment of naval distributed system architectures

The architecture of a system is generally established at the end of the conceptual design phase where sixty to eighty percent of the lifetime system costs are committed. The architecture influences the system’s complexity, integrality, modularity and robustness. However, such properties of system architecture are not typically analytically evaluated early on during the conceptual process. System architectures are defined using qualitative experience, and the early stage decisions are subject to the judgement of stakeholders. This article suggests a set of network-based metrics that can potentially function as early evaluation indicators to assess complexity, integrality, modularity and robustness of distributed system architectures during conceptual design. A new robustness metric is proposed that assesses the ability of architecture to support a level functional requirement of the system after a disruption. The new robustness metric is evaluated by an electrical simulation software (MATPOWER). A ship vulnerability assessment software (SURVIVE) was used to find potential disruptive events. Two technical case studies examining existing naval distributed system architectures are elaborated. Conclusions on the network modelling and metrics as early aids to assess system architectures and to choose among alternatives during the conceptual decision phase are presented

A decision support system for corporations cyber security risk management

This thesis presents a decision aiding system named C3-SEC (Contex-aware Corporative Cyber Security), developed in the context of a master program at Polytechnic Institute of Leiria, Portugal. The research dimension and the corresponding software development process that followed are presented and validated with an application scenario and case study performed at Universidad de las Fuerzas Armadas ESPE – Ecuador. C3-SEC is a decision aiding software intended to support cyber risks and cyber threats analysis of a corporative information and communications technological infrastructure. The resulting software product will help corporations Chief Information Security Officers (CISO) on cyber security risk analysis, decision-making and prevention measures for the infrastructure and information assets protection. The work is initially focused on the evaluation of the most popular and relevant tools available for risk assessment and decision making in the cyber security domain. Their properties, metrics and strategies are studied and their support for cyber security risk analysis, decision-making and prevention is assessed for the protection of organization's information assets. A contribution for cyber security experts decision support is then proposed by the means of reuse and integration of existing tools and C3-SEC software. C3-SEC extends existing tools features from the data collection and data analysis (perception) level to a full context-ware reference model. The software developed makes use of semantic level, ontology-based knowledge representation and inference supported by widely adopted standards, as well as cyber security standards (CVE, CPE, CVSS, etc.) and cyber security information data sources made available by international authorities, to share and exchange information in this domain. C3-SEC development follows a context-aware systems reference model addressing the perception, comprehension, projection and decision/action layers to create corporative scale cyber security situation awareness

Institutional Research Management using an Integrated Information System

AbstractResearch constitutes a fundamental activity within Higher Education and, for many institutions, comprises a major revenue income stream. Moreover, research increasingly becomes dependent on information systems to manage the complex information flows that it creates. This study introduces a web based software system built on Java technologies that supports institutional research management. The system provides decision support mechanisms using graph metrics in combination with data envelopment analysis as a method for efficiency measurement. Comparing the R&D outcomes of academic units with the dynamics of the collaboration patterns extracted from graphs, the developed system enables research managers to evaluate specific criteria and correlate strategic goals with research performance

Ke arah pembentukan model pemantauan prestasi pengurusan projek perisian

Software development is a complex and dynamic process based on software evolution from time to time. Effective project management is crucial to successful development of software. The software development group has the responsibility for providing computer system that meets software quality and needs of that end-user. Often the system provided does not satisfy users real needs. Software metrics provide insight into the quality of software, informing the developers about the status of a project.This study is to develop a performance–monitoring model for software project management based on metrics that will be a guideline to lead the development process through requirement phase, design phase and implementation phase.Focus on this study also considered how work culture among Information Technology staff is monitored during the development process.For this purpose, Staff Evaluation & Monitoring Program (StEMP) is developed to process the metrics value and visualize information such as comparative usage time to correct errors as output.Then, the output will be used to support decision–making activities by project team.As a conclusion, this study explains how the metrics were selected and how they are being implemented to improve quality service in software development

An Engineering Decision Support System (EDSS) with alternative-criterion pair evaluations

An Engineering Decision Support System, EDSS, was developed using Bayesian mathematics which incorporates knowledge and confidence components observed in alternative-criterion pair decision making. The separation of knowledge and confidence has been previously unaccounted for in decision-making methods. EDSS provides decision support to individuals or teams which must make choices between alternatives using alternative-criterion pair evaluations. Further, EDSS was instanciated into computer software. The EDSS decision support system was statistically tested using two variables, mechanical experience of the participants and the use of a decision method, at two different levels and in a replicated factorial experiment. The experiment consisted of teams of subjects solving a simple mechanical design problem. Data from the experiment was collected for eighteen different metrics in four categories. This research reports on each of eighteen metrics using the hypothesis that the use of EDSS will show improvements in, or positive impact on, the following four categories: the decision making productivity of idea processing, the decision-making process, the perception of the decisions made by the decision makers, and the ease of use of a computer decision support tool. Statistical results of the experiment showed that EDSS successfully matched ad-hoc and Pugh's decision matrix performance for sixteen of the eighteen metrics and statistically exceeded the remaining two. These two metrics are, the conduction of more evaluations of alternative-criterion pairs ,and increased problem understanding. This research also shows that a new alternative-criterion pair evaluation method has been successfully created that provides for: - A separation of knowledge and confidence in the Belief Model of decision making. - Decision results without complete evaluation of all alternative-criterion pairs. - Aggregation of preferences from team members. - A convenient means for investigating decision improvements

LOCATION MODELS FOR MAIN INDUSTRIES AT MACRO-GEOGRAPHICAL LEVEL USING OPEN GEOSPATIAL DATA AND SOFTWARE: CASE OF ROMANIAN COUNTIES

This paper reveals the mathematical models to explain the location of industries within macro-geographical areas (Romania’s counties), by means of GIS (Geographical Information System) metrics. While the explained variable (output) was a composite indicator equally weighting employment and turnover quotients computed from statistical data, the explaining variables (inputs) were a set of GIS metrics, computed on geospatial open data, using open GIS software. The preferred method for modelling was the multiple linear regression; different nonlinear functions were tested to provide the best fit. The GIS metrics are an alternative to statistical data, having the advantage of being procured and updated easier by the automatic import of the GIS database. For all industries, the study delivered relevant models. This study is part of a spatial decision support system (SDSS) for the location of enterprises, including both a macro-geographical layer and a micro-geographical layer of factors. This paper’s results can be used independently (the micro-geographical layer was addressed by a previous study). The macro-geographical and the micro-geographical layer could share the 100% weight according to the desired level of location. For example, a governmental organization could grant all weight to the macro layer, while an enterprise could weight more the micro layer

Decision support system for the long-term city metabolism planning problem

A Decision Support System (DSS) tool for the assessment of intervention strategies (Alternatives) in an Urban Water System (UWS) with an integral simulation model called “WaterMet²” is presented. The DSS permits the user to identify one or more optimal Alternatives over a fixed long-term planning horizon using performance metrics mapped to the TRUST sustainability criteria (Alegre et al., 2012). The DSS exposes lists of in-built intervention options and system performance metrics for the user to compose new Alternatives. The quantitative metrics are calculated by the WaterMet² model and further qualitative or user-defined metrics may be specified by the user or by external tools feeding into the DSS. A Multi-Criteria Decision Analysis (MCDA) approach is employed within the DSS to compare the defined Alternatives and to rank them with respect to a pre-specified weighting scheme for different Scenarios. Two rich, interactive Graphical User Interfaces, one desktop and one web-based, are employed to assist with guiding the end user through the stages of defining the problem, evaluating and ranking Alternatives. This mechanism provides a useful tool for decision makers to compare different strategies for the planning of UWS with respect to multiple Scenarios. The efficacy of the DSS is demonstrated on a northern European case study inspired by a real-life urban water system for a mixture of quantitative and qualitative criteria. The results demonstrate how the DSS, integrated with an UWS modelling approach, can be used to assist planners in meeting their long-term, strategic level sustainability objectives