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Maven central dependency graph

Amine Benelallam; Nicolas Harrand; César Soto Valero; Benoit Baudry; Olivier Barais;

Maven central dependency graph

Abstract

The Maven dependency graph is an open dataset of Maven Central artifacts, their dependencies, as well as other relationships. Its main intent is to domesticate the wild within and around the Maven central ecosystem, in particular, and JVM-based libraries at large, making it more harnessable to both academics and industry. It is intended to answer high-level research questions concerning artifacts releases, evolution, and usage trends over time. It can also be used to assist researchers in selecting relevant datasets, among the mass of existing software artifact, for assessing particular empirical software engineering challenges. The complexity of these questions can range from simple pattern matching to advanced big data analysis and machine learning techniques. The accompanying paper to this dataset is has been accepted for publication in the proceedings of the International Conference on Mining Software Repositories 2019 and has received the MSR 2019 Data Showcase Award. This paper is available for download on arXiv.

The Maven dependency graph is the fruit of a collaboration between the DiverSE team (Inria Rennes, France) and CASTOR project (KTH, Sweden). Instructions on how to use and reproduce the dataset can be found in the dataset's repository on [Github](https://github.com/diverse-project/maven-miner). A complete description of the dataset and usages can be found in the accompanying [paper] (https://arxiv.org/abs/1901.05392).

Keywords

Maven Repository, Mining OSS, Dependency Graph, Maven Central, JVM, Open-source

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  • citations
    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).
    2
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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download
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
2
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Funded by
EC| STAMP
Project
STAMP
Software Testing AMPlification
  • Funder: European Commission (EC)
  • Project Code: 731529
  • Funding stream: H2020 | RIA
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