Agent-Based Approach for Monitoring Risks in Software Development Projects

2022 ◽  
pp. 377-387
Author(s):  
Jirapun Daengdej
Keyword(s):  
Artificial Intelligence ◽  
Risk Management ◽  
Software Development ◽  
Development Projects ◽  
New Approach ◽  
Agent Based ◽  
Risk Monitoring ◽  
Proposed Model ◽  
High Degree ◽  
Very High

According to various surveys conducted, regardless of how many studies in software development projects have been done, the chance that software development projects may fail remains very high. A relatively new approach to the problem of failure is using the concept of artificial intelligence (AI) to help automate a certain part(s) of the projects in order to minimize the issue. Unfortunately, most of the works proposed to date use AI as a standalone system, which leads to limiting the degree of automation that the overall system can benefit from the technology. This chapter discusses a preliminary work on a novel risk monitoring, which utilizes a number of agent-based systems that cooperate with each other in minimizing risks for the projects. The proposed model not only leads to a high degree of automation in risk management, but this extensible model also allows additional tasks in risk monitoring to be easily added and automated if required.

Agent-Based Approach for Monitoring Risks in Software Development Projects

2021 ◽  
pp. 91-104
Author(s):  
Jirapun Daengdej
Keyword(s):  
Artificial Intelligence ◽  
Risk Management ◽  
Software Development ◽  
Development Projects ◽  
New Approach ◽  
Agent Based ◽  
Risk Monitoring ◽  
Proposed Model ◽  
High Degree ◽  
Very High

According to various surveys conducted, regardless of how many studies in software development projects have been done, the chance that software development projects may fail remains very high. A relatively new approach to the problem of failure is using the concept of artificial intelligence (AI) to help automate a certain part(s) of the projects in order to minimize the issue. Unfortunately, most of the works proposed to date use AI as a standalone system, which leads to limiting the degree of automation that the overall system can benefit from the technology. This chapter discusses a preliminary work on a novel risk monitoring, which utilizes a number of agent-based systems that cooperate with each other in minimizing risks for the projects. The proposed model not only leads to a high degree of automation in risk management, but this extensible model also allows additional tasks in risk monitoring to be easily added and automated if required.

A Framework for Risk Management in AI System Development Projects

2019 ◽  
pp. 1-20
Author(s):  
Kitti Photikitti ◽  
Kitikorn Dowpiset ◽  
Jirapun Daengdej
Keyword(s):  
Artificial Intelligence ◽  
Risk Management ◽  
Project Management ◽  
Software Development ◽  
System Development ◽  
Systems Development ◽  
Development Projects ◽  
Software Project ◽  
Software Projects ◽  
Very High

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.

Risk Management and Assessment in Software Development Projects

2021 ◽  
Vol 43 (4) ◽  
pp. 113-124
Author(s):  
D.V. Saveliev ◽  
Keyword(s):  
Risk Management ◽  
Software Development ◽  
Risk Index ◽  
Development Projects ◽  
Risk Status ◽  
Threat Model ◽  
The World ◽  
Web Systems

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.

The Applicability of Process-Orientation to Software Development Projects

2019 ◽  
Vol 10 (2) ◽  
pp. 1-7
Author(s):  
Viktorija Ponomarenko
Keyword(s):  
Technology Transfer ◽  
Software Development ◽  
Development Projects ◽  
New Approach ◽  
Eu Member States ◽  
New Information ◽  
Europe 2020 ◽  
Europe 2020 Strategy ◽  
Speed Up ◽  
Additional Value

The progress in the digital single market (DSM) has been acknowledged as one of the 10 political priorities by the European Commission since 2015. It could contribute € 415 billion per year (GDP) to the economy of the 28 EU Member States and create hundreds of thousands of new jobs. Nowadays, the ICT sector and the European Digital Agenda have declared it as one of the seven pillars of the Europe 2020 strategy. In order to speed up the development of new information technology and its commercialisation, it is necessary to increase software quality aimed at accelerating and improving technology transfer, taking into account process quality management. The aim of this article is to give an overview of a new approach to producing an additional value of the software development projects to improve the technology transfer process.

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

2015 ◽  
Vol 6 (2) ◽  
pp. 40-60 ◽  
Author(s):  
Rafael Queiroz Gonçalves ◽  
Elisa de Freitas Kühlkamp ◽  
Christiane Gresse von Wangenheim
Keyword(s):  
Risk Management ◽  
Project Management ◽  
Best Practices ◽  
Software Development ◽  
Small And Medium Enterprises ◽  
Management Tool ◽  
Development Projects ◽  
Management Tools ◽  
Management Processes ◽  
Medium Enterprises

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.

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