CodeDJ: Reproducible queries over large-scale software repositories

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00354096" target="_blank" >RIV/68407700:21240/21:00354096 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.4230/LIPIcs.ECOOP.2021.6" target="_blank" >https://doi.org/10.4230/LIPIcs.ECOOP.2021.6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4230/LIPIcs.ECOOP.2021.6" target="_blank" >10.4230/LIPIcs.ECOOP.2021.6</a>

Result language

angličtina

Original language name

CodeDJ: Reproducible queries over large-scale software repositories

Original language description

Analyzing massive code bases is a staple of modern software engineering research – a welcome side-effect of the advent of large-scale software repositories such as GitHub. Selecting which projects one should analyze is a labor-intensive process, and a process that can lead to biased results if the selection is not representative of the population of interest. One issue faced by researchers is that the interface exposed by software repositories only allows the most basic of queries. CodeDJ is an infrastructure for querying repositories composed of a persistent datastore, constantly updated with data acquired from GitHub, and an in-memory database with a Rust query interface. CodeDJ supports reproducibility, historical queries are answered deterministically using past states of the datastore; thus researchers can reproduce published results. To illustrate the benefits of CodeDJ, we identify biases in the data of a published study and, by repeating the analysis with new data, we demonstrate that the study’s conclusions were sensitive to the choice of projects.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF15_003%2F0000421" target="_blank" >EF15_003/0000421: Big Code: Scalable Analysis of Massive Code Bases</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Leibniz International Proceedings in Informatics (LIPIcs)

ISBN

978-3-95977-190-0

ISSN

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e-ISSN

1868-8969

Number of pages

24

Pages from-to

1-24

Publisher name

Dagstuhl Publishing,

Place of publication

Saarbrücken

Event location

online

Event date

Jul 11, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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