What is the Truck Factor of popular GitHub applications? A first assessment-Reference-Cited by-同舟云学术

What is the Truck Factor of popular GitHub applications? A first assessment

Published:2017-01-02 Issue: Volume: Page:
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Author:

Avelino Guilherme¹²,Valente Marco Tulio¹,Hora Andre¹

Affiliation:

1. Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil

2. Department of Computer Science, Federal University of Piaui, Teresina, Piauí, Brazil

Abstract

The Truck Factor designates the minimal number of developers that have to be hit by a truck (or quit) before a project is incapacitated. It can be seen as a measurement of the concentration of information in individual team members. We calculate the Truck Factor for 133 popular GitHub applications, in six languages. To infer the authors of a file we use the Degree-of-Authorship (DOA) metric, which is computed using version history data, and to estimate the Truck Factor, we use a greedy heuristic. Results show that most systems have a small truck factor (46% have Truck Factor=1 and 28% have Truck Factor=2).

Publisher

PeerJ

Link

https://peerj.com/preprints/1233v3.pdf

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