Using PageRank to Reveal Relevant Issues to Support Decision-Making on Open Source Projects - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2018

Using PageRank to Reveal Relevant Issues to Support Decision-Making on Open Source Projects

Abstract

Software release planning is crucial to software projects that adopt incremental development. Open source projects depend on their globally distributed maintainers’ communities who share project information, usually described in the software project repository as issues, to plan the contents and timing of the next releases. This paper introduces an approach based on software issues to support decision-making regarding open source software development activities such as release planning and retrospectives. It uses the PageRank algorithm to suggest an importance ranking of the software issues based on the issues dependencies topology. When based on a highly connected topology, project leaders can use this rank as an input to planning activities. The observation of two open source projects indicates the feasibility of our approach.
Fichier principal
Vignette du fichier
468158_1_En_9_Chapter.pdf (806.98 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01875490 , version 1 (17-09-2018)

Licence

Attribution

Identifiers

Cite

Alessandro Caetano, Leonardo Leite, Paulo Meirelles, Hilmer Neri, Fabio Kon, et al.. Using PageRank to Reveal Relevant Issues to Support Decision-Making on Open Source Projects. 14th IFIP International Conference on Open Source Systems (OSS), Jun 2018, Athens, Greece. pp.102-113, ⟨10.1007/978-3-319-92375-8_9⟩. ⟨hal-01875490⟩
92 View
85 Download

Altmetric

Share

Gmail Facebook X LinkedIn More