scholarly journals Dynamic Iteration Method: New Approach to Cultural Events Management

2021 ◽  
Vol 15 ◽  
pp. 116-123
Author(s):  
Eva Svirakova
Keyword(s):  
Navigation System ◽  
Iteration Method ◽  
Dynamic Modelling ◽  
Project Managers ◽  
Exogenous Variables ◽  
New Approach ◽  
Cultural Events ◽  
Gps Navigation ◽  
Iterative Development ◽  
Dynamic Iteration

This article provides project managers, the cultural events organizers, a new approach to plan preparation and to the monitoring of events realization. The Dynamic Iteration Method introduced in this article is based on the system dynamic modelling and on the principles of project iterative development. The plan model and the reality model are structurally similar; they differ in values of exogenous variables. The new approach enables to easily monitor the real project course in close connection with the plan and to take timely controlling steps. The effects resulting from the manager´s decisionmaking process are compared with the plan in regular iterations. The method thus reminds of a traveller whose route is adjusted by a GPS navigation system.

An Accurate Land-Vehicle MEMS IMU/GPS Navigation System Using 3D Auxiliary Velocity Updates

Navigation ◽  
2007 ◽  
Vol 54 (3) ◽  
pp. 177-188 ◽  
Author(s):  
XIAOJI NIU ◽  
SAMEH NASSAR ◽  
NASER EL-SHEIMY
Keyword(s):  
Navigation System ◽  
Land Vehicle ◽  
Gps Navigation ◽  
Mems Imu

Study on GPS Navigation Navigation System

2014 ◽  
Vol 556-562 ◽  
pp. 3313-3316
Author(s):  
Hao Ran Song
Keyword(s):  
Global Positioning System ◽  
Navigation System ◽  
Systems Design ◽  
Design System ◽  
Factors Affecting ◽  
Gps Navigation ◽  
Communications Technologies ◽  
Global Positioning ◽  
Depth Study ◽  
System Requirements

Currently, GPS global positioning system has been in the areas of precise positioning, navigation, timing has been widely used. By GPS-OEM combined with computer and communications technologies, users are able to easily and independently developed to meet the specific needs of GPS systems. Design system based on GPS navigation navigation system requirements package, in-depth study of the main factors affecting the precision of navigation. Several factors made corresponding solutions, implements navigation navigation system the main functions of the software.

Fuzzy Rules for Risk Assessment and Contingency Estimation within COCOMO Software Project Planning Model

2014 ◽  
pp. 88-111 ◽  
Author(s):  
Ekananta Manalif ◽  
Luiz Fernando Capretz ◽  
Danny Ho
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Project Planning ◽  
Project Managers ◽  
Research Data ◽  
Software Project ◽  
Planning Model ◽  
Effort Estimation ◽  
New Approach ◽  
Project Risks

Software development can be considered to be the most uncertain project when compared to other projects due to uncertainty in the customer requirements, the complexity of the process, and the intangible nature of the product. In order to increase the chance of success in managing a software project, the project manager(s) must invest more time and effort in the project planning phase, which involves such primary and integrated activities as effort estimation and risk management, because the accuracy of the effort estimation is highly dependent on the size and number of project risks in a particular software project. However, as is common practice, these two activities are often disconnected from each other and project managers have come to consider such steps to be unreliable due to their lack of accuracy. This chapter introduces the Fuzzy-ExCOM Model, which is used for software project planning and is based on fuzzy technique. It has the capability to not only integrate the effort estimation and risk assessment activities but also to provide information about the estimated effort, the project risks, and the effort contingency allowance necessary to accommodate the identified risk. A validation of this model using the project’s research data shows that this new approach is capable of improving the existing COCOMO estimation performance.

Towards Knowledge Evolution in Software Engineering

2012 ◽  
pp. 8-24
Author(s):  
Yves Wautelet ◽  
Christophe Schinckus ◽  
Manuel Kolp
Keyword(s):  
Software Engineering ◽  
Life Cycles ◽  
Project Managers ◽  
Software Project ◽  
Modeling Languages ◽  
Software Projects ◽  
Theoretical Frameworks ◽  
Knowledge Evolution ◽  
Iterative Development ◽  
Early Implementation

This article presents an epistemological reading of knowledge evolution in software engineering (SE) both within a software project and into SE theoretical frameworks principally modeling languages and software development life cycles (SDLC). The article envisages SE as an artificial science and notably points to the use of iterative development as a more adequate framework for the enterprise applications. Iterative development has become popular in SE since it allows a more efficient knowledge acquisition process especially in user intensive applications by continuous organizational modeling and requirements acquisition, early implementation and testing, modularity,… SE is by nature a human activity: analysts, designers, developers and other project managers confront their visions of the software system they are building with users’ requirements. The study of software projects’ actors and stakeholders using Simon’s bounded rationality points to the use of an iterative development life cycle. The later, indeed, allows to better apprehend their rationality. Popper’s knowledge growth principle could at first seem suited for the analysis of the knowledge evolution in the SE field. However, this epistemology is better adapted to purely hard sciences as physics than to SE which also takes roots in human activities and by the way in social sciences. Consequently, we will nuance the vision using Lakatosian epistemology notably using his falsification principle criticism on SE as an evolving science. Finally the authors will point to adaptive rationality for a lecture of SE theorists and researchers’ rationality.

Fuzzy Rules for Risk Assessment and Contingency Estimation Within COCOMO Software Project Planning Model

2018 ◽  
pp. 771-797
Author(s):  
Ekananta Manalif ◽  
Luiz Fernando Capretz ◽  
Danny Ho
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Project Planning ◽  
Project Managers ◽  
Research Data ◽  
Software Project ◽  
Planning Model ◽  
Effort Estimation ◽  
New Approach ◽  
Project Risks

Software development can be considered to be the most uncertain project when compared to other projects due to uncertainty in the customer requirements, the complexity of the process, and the intangible nature of the product. In order to increase the chance of success in managing a software project, the project manager(s) must invest more time and effort in the project planning phase, which involves such primary and integrated activities as effort estimation and risk management, because the accuracy of the effort estimation is highly dependent on the size and number of project risks in a particular software project. However, as is common practice, these two activities are often disconnected from each other and project managers have come to consider such steps to be unreliable due to their lack of accuracy. This chapter introduces the Fuzzy-ExCOM Model, which is used for software project planning and is based on fuzzy technique. It has the capability to not only integrate the effort estimation and risk assessment activities but also to provide information about the estimated effort, the project risks, and the effort contingency allowance necessary to accommodate the identified risk. A validation of this model using the project's research data shows that this new approach is capable of improving the existing COCOMO estimation performance.

Towards Knowledge Evolution in Software Engineering

2010 ◽  
Vol 3 (1) ◽  
pp. 21-40
Author(s):  
Yves Wautelet ◽  
Christophe Schinckus ◽  
Manuel Kolp
Keyword(s):  
Software Engineering ◽  
Life Cycles ◽  
Project Managers ◽  
Software Project ◽  
Modeling Languages ◽  
Software Projects ◽  
Theoretical Frameworks ◽  
Knowledge Evolution ◽  
Iterative Development ◽  
Early Implementation

This article presents an epistemological reading of knowledge evolution in software engineering (SE) both within a software project and into SE theoretical frameworks principally modeling languages and software development life cycles (SDLC). The article envisages SE as an artificial science and notably points to the use of iterative development as a more adequate framework for the enterprise applications. Iterative development has become popular in SE since it allows a more efficient knowledge acquisition process especially in user intensive applications by continuous organizational modeling and requirements acquisition, early implementation and testing, modularity,… SE is by nature a human activity: analysts, designers, developers and other project managers confront their visions of the software system they are building with users’ requirements. The study of software projects’ actors and stakeholders using Simon’s bounded rationality points to the use of an iterative development life cycle. The later, indeed, allows to better apprehend their rationality. Popper’s knowledge growth principle could at first seem suited for the analysis of the knowledge evolution in the SE field. However, this epistemology is better adapted to purely hard sciences as physics than to SE which also takes roots in human activities and by the way in social sciences. Consequently, we will nuance the vision using Lakatosian epistemology notably using his falsification principle criticism on SE as an evolving science. Finally the authors will point to adaptive rationality for a lecture of SE theorists and researchers’ rationality.

Turning capital project uncertainty into positive certainty by better defining manageable risk

2011 ◽  
Vol 51 (1) ◽  
pp. 423 ◽  
Author(s):  
Robert Gray
Keyword(s):  
Risk Management ◽  
Oil And Gas ◽  
Project Managers ◽  
Project Investment ◽  
New Approach ◽  
Investment Projects ◽  
Project Outcomes ◽  
Management Application ◽  
Management Roles ◽  
Complex Project

We are all stakeholders in the development of better practices to address the challenges presented by the opportunities and responsibilities that exist in our industry. Navigating the path between uncertainty and positive project outcomes can hopefully help to generate informed decisions as well as a thorough consideration of all the relevant risks. Many risk management roles have, however, tended to develop into compliance-style functions. This paper tackles the inconsistency of risk management application via a new approach, encompassing three elements: taking a new look at some fundamental concepts; making subsequent adaptations to some familiar tools; and applying these ideas to oil and gas investment projects. At the conclusion of this paper, project managers, sponsors and boards should have a new appreciation for how the industry might further improve its performance in tackling uncertainty on complex project investment decisions.

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