Bugs.jar a large-scale, diverse dataset of real-world Java bugs

We present Bugs.jar, a large-scale dataset for research in automated debugging, patching, and testing of Java programs. Bugs.jar is comprised of 1,158 bugs and patches, drawn from 8 large, popular open-source Java projects, spanning 8 diverse and prominent application categories. It is an order of m...

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Published in2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) pp. 10 - 13
Main Authors Saha, Ripon K., Lyu, Yingjun, Lam, Wing, Yoshida, Hiroaki, Prasad, Mukul R.
Format Conference Proceeding
LanguageEnglish
Published New York, NY, USA ACM 28.05.2018
SeriesACM Conferences
Subjects
Computer bugs
Debugging
Java
Java Programs
Large Scale Dataset
Libraries
Reproducible Bugs
Software
Testing
reproducible bugs
Java programs
large-scale dataset
Online AccessGet full text
ISBN9781450357166
1450357164
ISSN2574-3864
DOI10.1145/3196398.3196473

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Abstract We present Bugs.jar, a large-scale dataset for research in automated debugging, patching, and testing of Java programs. Bugs.jar is comprised of 1,158 bugs and patches, drawn from 8 large, popular open-source Java projects, spanning 8 diverse and prominent application categories. It is an order of magnitude larger than Defects4J, the only other dataset in its class. We discuss the methodology used for constructing Bugs.jar, the representation of the dataset, several use-cases, and an illustration of three of the use-cases through the application of 3 specific tools on Bugs.jar, namely our own tool, Elixir, and two third-party tools, Ekstazi and JaCoCo.
AbstractList We present Bugs.jar, a large-scale dataset for research in automated debugging, patching, and testing of Java programs. Bugs.jar is comprised of 1,158 bugs and patches, drawn from 8 large, popular open-source Java projects, spanning 8 diverse and prominent application categories. It is an order of magnitude larger than Defects4J, the only other dataset in its class. We discuss the methodology used for constructing Bugs.jar, the representation of the dataset, several use-cases, and an illustration of three of the use-cases through the application of 3 specific tools on Bugs.jar, namely our own tool, Elixir, and two third-party tools, Ekstazi and JaCoCo.
We present Bugs.jar, a large-scale dataset for research in automated debugging, patching, and testing of Java programs. Bugs.jar is comprised of 1,158 bugs and patches, drawn from 8 large, popular opensource Java projects, spanning 8 diverse and prominent application categories. It is an order of magnitude larger than Defects4J, the only other dataset in its class. We discuss the methodology used for constructing Bugs.jar, the representation of the dataset, several use-cases, and an illustration of three of the use-cases through the application of 3 specific tools on Bugs.jar, namely our own tool, Elixir, and two third-party tools, Ekstazi and JaCoCo.
Author Prasad, Mukul R.
Lyu, Yingjun
Saha, Ripon K.
Lam, Wing
Yoshida, Hiroaki
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Keywords reproducible bugs
Java programs
large-scale dataset
Language English
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Snippet We present Bugs.jar, a large-scale dataset for research in automated debugging, patching, and testing of Java programs. Bugs.jar is comprised of 1,158 bugs and...
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SubjectTerms Computer bugs
Debugging
Java
Java Programs
Large Scale Dataset
Libraries
Reproducible Bugs
Software
Testing
Subtitle a large-scale, diverse dataset of real-world Java bugs
Title Bugs.jar
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