A Multi-agent Reinforcement Learning Risk Management Model for Distributed Agile Software Projects

Adel, Rehab; Harb, Hany M.; Elshenawy, Ayman

doi:10.1109/icicis52592.2021.9694252

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…Other authors propose models with the help of which the impact of task description and assessment on the results of the project team is investigated [9,10]. The works [18,19,20] analyzed approaches to the creation of risk management scenarios when performing project tasks.…”

Section: Discussionmentioning

confidence: 99%

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Project Team Management Model Under Risk Conditions

Rohovyi,

Grinchenko

2023

SM3P

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The paper examines the state of the problem of the influence of risks on the project team's work process. The processes of the team's work during the implementation of the project sprint are defined. The authors identified risk factors that affect the effectiveness of the project team. An analysis of modern approaches was carried out and three directions were identified, which represent the research of project team management processes under conditions of risk. A comprehensive reference model of project team management under risk conditions is proposed in the form of a framework. It reflects the interrelationship of four models: the project team behavior model, the model for assessing the quality of the formation of sprint tasks, the model for determining the distribution of tasks in the project team, and the model for the formation of recommendations. The project team evaluates the text description of the task, obtained from the information system, using the sprint task formation quality assessment model. Natural language processing methods are used to create a model for evaluating the quality of forming sprint tasks, which combine the method of processing text information and the method of learning based on precedents, which allows taking into account the previous experience of the team and its behavior. The project team behavior model allows taking into account the risks of irrational work organization during the sprint. The behavior of the project team is analyzed using Process Mining methods. The case representation model allows the project team to store and reuse knowledge and experience based on simulation modeling and reinforcement learning approaches. It allows the team to determine and evaluate possible options for the distribution of tasks and resources in the team in accordance with the reduction of possible risks. The central element of the proposed framework is the model of recommendations used in decision-making. It provides the project team with the necessary information for effective decision-making in terms of risks in project management. The proposed framework provides an opportunity to reduce the impact of the risks of non-fulfillment of project tasks during the sprint. Further studies of the task of managing the project team under conditions of risk should be directed to the development of specified models of the proposed framework

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Section: Discussionmentioning

confidence: 99%

“…In the article [19], the authors proposed a multi-agent model of risk management. It is designed using repeated individual training using the Q-learning algorithm.…”

Section: Analysis Of Research and Publicationsmentioning

confidence: 99%

Project Team Management Model Under Risk Conditions

Rohovyi,

Grinchenko

2023

SM3P

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“…[9], [18], [25], [34], [42], [45], [65], [68], [71], [75] C37 Poor knowledge management Inadequate organization and knowledge sharing within the distributed team can result in repeated errors, lost opportunities, and decreased productivity.…”

Section: Lack Of Brainstorming Sessionsmentioning

confidence: 99%

“…[23], [26], [37], [38], [42], [43] C16 Lack of opportunities for personal development When employees lack opportunities for growth and development, it can lead to disengagement, reduced commitment, and hinder overall team performance.…”

Section: Poor Grievance Managementmentioning

confidence: 99%

Identifying contemporary challenges pertaining to Distributed Software Development using Fuzzy Delphi Method

Gul,

Alam

2023

Preprint

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Distributed Software Development (DSD) is a process in which team members are located in different geographical locations and collaborate using communication and collaboration tools. DSD has gained prominence in recent years, driven by the surge in globalization, the rapid expansion of the IT outsourcing market, and the widespread accessibility of high-speed internet. However, DSD also presents numerous challenges, including team dynamics, employee well-being, HR management, communication & collaboration, requirements management, tooling & infrastructure, and development process & risk management issues. This paper aims at identifying critical challenges related to DSD. Initially, a systematic literature review was conducted to construct an initial list of 77 challenges; subsequently, a Fuzzy Delphi Method (FDM) survey was adopted to identify the critical challenges in this context. Results of the FDM indicate that, out of the 41 screened-out challenges, differences in work ethics & practices, language barriers, meeting scheduling difficulties, different time zones, burnout, physical fatigue/mental stress, and lack of opportunities for personal development are the most critical challenges of DSD. The findings of this study have implications for both practitioners and researchers related to DSD.

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“…A multi-agent RL risk management system for distributed agile software projects is designed in Adel, Harb, and Elshenawy (2021). The system is implemented to use a dynamic policy.…”

Section: Related Workmentioning

confidence: 99%