Enhancing DotProject to Support Risk Management Aligned with PMBOK in the Context of SMEs

Author(s):  
Rafael Queiroz Gonçalves ◽  
Elisa de Freitas Kühlkamp ◽  
Christiane Gresse von Wangenheim

Many problems in software development projects are due to risks and could be avoided or minimized if identified and treated pro-actively. In this context, software tools to support risk management could be very helpful. However, it is difficult to find a project management tool, accessible to Small and Medium Enterprises (SMEs) that provides adequate support to risk management in conformance with best practices such as the PMBOK. Therefore, this paper has the objective to review support provided by popular project management tools with respect to risk management and to present enhancements made to the open-source tool – dotProject – in order to systematically support risk management aligned with the PMBOK. An initial evaluation identified benefits in the implementation of risk management processes in software SMEs, and, thus, contributing to their projects' success.

Author(s):  
Rafael Queiroz Gonçalves ◽  
Elisa de Freitas Kühlkamp ◽  
Christiane Gresse von Wangenheim

Many problems in software development projects are due to risks and could be avoided or minimized if identified and treated pro-actively. In this context, software tools to support risk management could be very helpful. However, it is difficult to find a project management tool, accessible to Small and Medium Enterprises (SMEs) that provides adequate support to risk management in conformance with best practices such as the PMBOK. Therefore, this paper has the objective to review support provided by popular project management tools with respect to risk management and to present enhancements made to the open-source tool – dotProject – in order to systematically support risk management aligned with the PMBOK. An initial evaluation identified benefits in the implementation of risk management processes in software SMEs, and, thus, contributing to their projects' success.


Author(s):  
Kitti Photikitti ◽  
Kitikorn Dowpiset ◽  
Jirapun Daengdej

It has been well-known that the chance of successfully delivering a software project within an allocated time and budget is very low. Most of the researches in this area have concluded that “user's requirements” of the systems is one of the most difficult risks to deal with in this case. Interestingly, until today, regardless of amount of effort put into this area, the possibility of project failure is still very high. The issue with requirement can be significantly increased when developing an artificial intelligence (AI) system, where one would like the systems to autonomously behave. This is because we are not only dealing with user's requirements, but we must also be able to deal with “system's behavior” that, in many cases, do not even exist during software development. This chapter discusses a preliminary work on a framework for risk management for AI systems development projects. The goal of this framework is to help project management in minimizing risk that can lead AI software projects to fail due to the inability to finish the projects on time and within budget.


2021 ◽  
Vol 43 (4) ◽  
pp. 113-124
Author(s):  
D.V. Saveliev ◽  

The article defines the concept of threat model. Described a list of current security guidelines for the development and administration of web systems. Formed the list of cybersecurity threats, the consequences of their implementation are determined. Described the process of forming a model of cybersecurity threats of web systems. Defined the list of threats based on the recommendations and experience of authoritative organizations in the world and Ukraine. Defined the concepts of risk, risk index and risk status for the security of web systems. Defined the main principles of risk management in software development projects.


Author(s):  
Sergey Bushuyev ◽  
Denis Bushuiev ◽  
Victoria Bushuieva ◽  
Olena Verenych

The problem of creating effective models, methods and tools for strategic management of projects and programs for the development of organizations in the transition to a circular economy. Global trends in the development of organizations prove that the world is transforming with acceleration. The life cycle of knowledge and technologies for managing complex projects and programs is significantly reduced. The technical and technological complexity of organizational development projects increases due to innovations. These trends create significant challenges in the development of project management systems and programs for the formation of a circular economy in Ukraine. This is especially true of projects and programs in conditions of uncertainty about the impact of COVID 19 and anticipation of a global crisis after a pandemic. Today, the application of proven best practices (benchmarking) is no longer a way forward. Forming a vision, goals and strategy for the implementation of organizational development projects in advance makes our actions rigid, not flexible. When creating a project or program begins with focusing on what is valuable to our customers and the country, it is enough for us to use best practices. But the complexity and innovative orientation of development projects of organizations in the transition to a circular economy creates a number of challenges. One of the answers to these challenges is cost-effective work on project management and development programs, taking into account the trends of transition to a circular economy. Project management teams learn to distinguish between what is valuable and what doesn't matter, this is the path that management methodologies have taken for decades. A number of projects have taken the first steps in implementing the necessary cost-effective / flexible transition that supports sustainability and adaptability to turbulent environmental changes. In the conditions of modern destructive economic relations in the world community the problem of a choice of strategy of projects as drivers of development of the organizations is vital. One of the key approaches to the development of the EU is the transition to a circular economy with maximum utilization of both waste products and projects, and the disposal of project products after the end of product life cycles.


2019 ◽  
Vol 79 (2) ◽  
pp. 192-203
Author(s):  
Brian K. Coffey ◽  
Ted C. Schroeder

PurposeThe purpose of this paper is to identify the relationships between grain farm and farmer profiles and their respective choices to use forward pricing techniques and revenue protection crop insurance to manage risk.Design/methodology/approachAn e-mail survey of Midwestern grain farmers elicited farmer demographic information, farm profile, risk attitudes and farmer use of forward pricing and revenue protection insurance. Responses regarding use of risk management tools were compiled as choices to use possible bundles of tools to account for simultaneous nature of the decision. Choices to use bundles of tools were used as the independent variable categories in a multinomial logit regression. Regressors were relevant data collected from the survey.FindingsFarm size, using a market advisory service, and being a technology adopter are the most important factors in predicting risk management tool use by grain farmers. Farmers tend to use forward pricing and revenue protection insurance in combination. Large farms are more likely to use forward pricing tools.Practical implicationsResults provide researchers, extension professionals and risk management specialists with a current understanding of how farm and farmer characteristics relate to use of risk management tools. The authors also elaborate on findings to provide guidance for future risk management research.Originality/valueThe survey covered 9 Midwestern states and 648 grain farmers. The survey results update understanding of grain farmers’ risk management practices. The empirical approach treats risk management decisions to use available tools as simultaneous, which recent literature suggests is more appropriate than earlier approaches.


2021 ◽  
Vol 26 (3) ◽  
pp. 79-86
Author(s):  
Agnieszka JĘDRUSIK

The purpose of this article is to present the process of risk management in project management. The analysis was based on a comparison of two best practices of IPMA and PRINCE. Risk management differs significantly between the two approaches, but it is up to the organization to choose its own management, monitoring and methodology tailored to the specific industry or sector. Risk management is an important aspect of the entire project life cycle and must be monitored throughout the project life cycle to protect not only the budget but all areas of the so-called "golden triangle". A very important aspect is the organization's awareness that risk management is everyone's responsibility, not just the project manager. This paper presents two different approaches to project risk management in two different methodologies.


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