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Modeling and Performance Analysis of Scrumban with Test-Driven Development Using Discrete Event and Fuzzy Logic

Authors: Fernando Sambinelli; Edson L. Ursini; Marcos A.F. Borges; Paulo S. Martins;

Modeling and Performance Analysis of Scrumban with Test-Driven Development Using Discrete Event and Fuzzy Logic

Abstract

Project management in the software industry has been constantly evolving its development practices. One practice that has been standing out in recent years is Test Driven Development (TDD). However, there is no consensus in the literature about the impact of TDD on the productivity of development teams. Furthermore, no studies were found that analyzed the productivity impact of TDD practitioners in relation to the variations of total project term and complexity of product. Based on three case studies, organized in 18 scenarios, this work used modeling and discrete-event simulation to investigate the impact of TDD on team productivity. The results showed that both factors, total project duration and product complexity, do influence the productivity of the software development team that adopts TDD practice and the most advantageous scenarios were identified. A Fuzzy Logical System was also implemented that recommends TDD based on these two variables.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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