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Agile teams' assignment model for scaling agile
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Resumo(s)
Adherence to the schedule for completion of a project is one of the basic requirements for the success of a management team. Failure to meet this schedule can have a negative impact on both the business side and the reputation of the company, this issue is a constant challenge in project management. This challenge becomes even greater with agile project management. Agile methodology has increasingly become the method of choice for project delivery. However, in this type of project, uncertainty increases in terms of execution time due to the uncertainty that arises from the agile characteristics that are so valued. Optimized assignment of agile teams based on their performance to project tasks can reduce this uncertainty and increase the probability of success. However, it appears that the tools available in the literature have very limited applicability to this problem. In this paper, we present a model for agile team assignment that uses the Program Evaluation Review Technique (PERT) along with the effective risk model and the Monte Carlo model. An illustrative case study was used to illustrate the application of the proposed model. The results show that the project execution time is highly dependent on the performance of the agile teams and their respective assignment to the project tasks. In practice, the proposed model enables the determination of the execution time of a given agile project considering the performance of the respective teams.
Descrição
Funding Information: This work was supported by the Polytechnic Institute of Lisbon through the Projects for Research, Development, Innovation and Artistic Creation (IDI&CA), within the framework of the project ReEdIA — Risk Assessment and Management in Open Innovation, IPL/2021/ ReEdIA/ISEL. Publisher Copyright: © 2022 The Authors. Published by ELSEVIER B.V.
Palavras-chave
Agile Agile teams assignment Effective Risk Monte Carlo PERT Project management Scaling Agile General Computer Science