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Open AccessArticle

Application of Fuzzy Sets to the Expert Estimation of Scrum-Based Projects

Faculty of Computer Science and Management, Wrocław University of Science and Technology, ul. Ignacego Łukasiewicza 5, 50371 Wrocław, Poland
Author to whom correspondence should be addressed.
Symmetry 2019, 11(8), 1032;
Received: 15 July 2019 / Revised: 5 August 2019 / Accepted: 6 August 2019 / Published: 9 August 2019
(This article belongs to the Special Issue Multi-Criteria Decision Aid methods in fuzzy decision problems)
The paper is basically dedicated to the problem of effort estimation for the Product Backlog items of IT projects led accordingly to the Scrum framework. The effort estimation issue is important, because low quality estimation decreases the efficiency of project implementation. The paper proposes an estimation method for the Product Backlog items of Scrum-based IT projects (which can be adapted also to other projects), which has two original elements with respect to the state of art in Scrum estimation: the usage of fuzzy numbers and strict rules for consensus forming, combined with a space for human interaction. The assumptions of the method should be complied with and were formulated on the basis of literature and authors experience. Two case studies were used for an initial method validation. The case studies confirmed a high potential of the method to increase estimation quality in Scrum-based projects, as well as in other project types. The case studies were conducted using research methods fulfilling the symmetry principle. The paper is thus an example of symmetry in management research. View Full-Text
Keywords: Scrum; product backlog; project estimation; fuzzy estimation Scrum; product backlog; project estimation; fuzzy estimation
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MDPI and ACS Style

Rola, P.; Kuchta, D. Application of Fuzzy Sets to the Expert Estimation of Scrum-Based Projects. Symmetry 2019, 11, 1032.

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