Agile teams' assignment model for scaling agile

Vítor Anes, António Abreu, Ana Dias, João Calado

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)
13 Downloads (Pure)

Abstract

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.

Keywords

  • Agile
  • Agile teams assignment
  • Effective Risk
  • Monte Carlo
  • PERT
  • Project management
  • Scaling Agile

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