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Replication Package for ESEC/FSE 2021 Paper "A Large-Scale Empirical Study of Java Library Migrations: Prevalence, Trends, and Rationales"

Authors: He, Hao; He, Runzhi; Gu, Haiqiao; Zhou, Minghui;

Replication Package for ESEC/FSE 2021 Paper "A Large-Scale Empirical Study of Java Library Migrations: Prevalence, Trends, and Rationales"

Abstract

This is the replication package for our ESEC/FSE 2021 paper A Large-Scale Empirical Study on Java Library Migrations: Prevalence, Trends, and Rationales. It can be used to replicate all three research questions in the paper using our preprocessed and manually labeled data. Please refer to this GitHub repository (https://github.com/hehao98/LibraryMigration) or the git repository archive (gitrepo.zip) in this package for detailed documentation about how to use this replication package. It consists of the following files: cache.zip: This file contains some most important datasets used in this paper, including the GitHub repositories and Maven libraries used, the set of all dependency changes, and the migration graph. Data related to thematic analysis can be found in the git repository. dbdata.tar.xz: This file contains the raw MongoDB data folder that will be used if you choose to install the required environment using Docker. dbdump.zip: This file contains the MongoDB data dump which will be used if you choose to manually install the required environment. gitrepo.zip: A git repository archive for the scripts, notebooks, and spreadsheets we used for this paper. Note that this archive may be somewhat older than the GitHub repository (https://github.com/hehao98/LibraryMigration). We recommend referring to the latest version at GitHub and only resort to this archive if the GitHub repository becomes unavailable in the unforeseeable future. We hope the provided scripts and dataset can be used to facilitate further research.

Related Organizations
Keywords

Library Migration, Software Evolution, Software Engineering, ESEC/FSE 2021, Mining Software Repositories

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selected citations
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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).
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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.
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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.
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