scholarly journals An Improved Model for Requirement Management System

Author(s):  
Hafeez MS ◽  
Farhan Rasheed ◽  
Khan MR
Author(s):  
Igor Vitalievich Kotenko ◽  
Igor Borisovich Parashchuk

The article is focused on the development of a mathematical model of functioning the security information and event management system known as the SIEM system. This model is a formalized analytical description (in terms of a Markov chain in the form of stochastic differential equations) of the dynamics of the changing states of quality indicators characterizing the essential properties of functioning the security information and events management system in the state space. The model is a system of equations of state and observation, traditional for the Markov chain in the form of finite differences. The scientific task is to improve (modify) the algorithms for converting excitation noise used in the model. A mechanism is proposed for determining the values of the mathematical expectation increment of the simulated process, obtained on the basis of a priori data on the Markov chain, in relation to the mathematical expectation of white Gaussian noise exciting this process. Based on simple calculations the mechanism helps to decide what values can be taken by the elements of the vector of compensation additives in the equation of state of the auxiliary indicator vector of this modified model, taking into account the conversion of the excitation noise. This allows simplifying the model and reducing its computational complexity without significant losses in accuracy (adequacy). The practical application of an improved model is possible both in the framework of the research and in the systems of automated control of information security.


Vestnik MGSU ◽  
2020 ◽  
pp. 1175-1190
Author(s):  
Vladimir V. Kudrevatykh

Introduction. Organizational development and practice of the project management system implementation is of particular interest to engineering companies that implement complex and multi-stage design and construction projects having a complex structure, a large number of stakeholders and a high degree of result individualization. In this case, a situation often arises when processes are formalized, which means that a certain list of regulatory documents are developed in which project contributors, their activities, authority and responsibility, a sequence of actions to be performed, templates of project documents, etc. are defined, but in practice these requirements are not fulfilled or not fulfilled in full. The research problem is that approaches to the formation of a project management system do not offer a universal mechanism applied to monitor the compliance with project management requirements established by inhouse regulatory documents. As a result, project contributors resist such requirements in some companies. The subject of the study is the development of a tool designated for the monitoring of compliance with regulatory documents in the field of project management in a full-cycle engineering company. Materials and methods. The method of process modeling and reengineering, statistical analysis, and the requirements management methodology were applied. Results. Features of project management in engineering companies are outlined. Research results obtained in terms of adapting the requirement management methodology and engineering project quality are analyzed. The target scheme that applies to project management quality control and project audit processes was performed. The toolkit for the project management quality control was developed and a list of indicators was formulated. The analysis of statistics on cases of failure to comply with project management quality indicators and underlying reasons is conducted. Conclusions. The project management quality control toolkit, proposed in the article, allows to analyze the compliance of project contributors with the requirements applied to project management processes formalized in a company and to increase the efficiency of various types of projects.


Author(s):  
Marco Riva ◽  
Andrea Balestra ◽  
Lorenzo Busoni ◽  
Paolo Ciliegi ◽  
Ugo DiGianmatteo ◽  
...  

2016 ◽  
Vol 22 ◽  
pp. 328
Author(s):  
Joseph Aloi ◽  
Jagdeesh Ullal ◽  
Paul Chidester ◽  
Amy Henderson ◽  
Robby Booth ◽  
...  

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