JFeature: Know Your Corpus

Idriss Riouak; Gorel Hedin; Christoph Reichenbach; Niklas Fors

doi:10.1109/SCAM55253.2022.00033

JFeature: Know Your Corpus

Idriss Riouak, Gorel Hedin, Christoph Reichenbach, Niklas Fors

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

Software corpora are crucial for evaluating research artifacts and ensuring repeatability of outcomes. Corpora such as DaCapo and Defects4J provide a collection of real-world open-source projects for evaluating the robustness and performance of software tools like static analysers. However, what do we know about these corpora? What do we know about their composition? Are they really suited for our particular problem? We developed JFEATURE, an extensible static analysis tool that extracts syntactic and semantic features from Java programs, to assist developers in answering these questions. We demonstrate the potential of JFEATURE by applying it to four widely-used corpora in the program analysis area, and we suggest other applications, including longitudinal studies of individual Java projects and the creation of new corpora.

Original language	English
Title of host publication	Proceedings - 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation, SCAM 2022
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	236-241
Number of pages	6
ISBN (Electronic)	9781665496094
DOIs	https://doi.org/10.1109/SCAM55253.2022.00033
Publication status	Published - 2022
Event	22nd IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2022 - Limassol, Cyprus Duration: 2022 Oct 3 → 2022 Oct 4

Conference

Conference	22nd IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2022
Country/Territory	Cyprus
City	Limassol
Period	2022/10/03 → 2022/10/04

Subject classification (UKÄ)

Software Engineering

Free keywords

Software Corpora
Software Tools
Source-Code Analysis

Access to Document

10.1109/SCAM55253.2022.00033

Cite this

@inproceedings{46b1405534d544a484ea2c900866f1eb,

title = "JFeature: Know Your Corpus",

abstract = "Software corpora are crucial for evaluating research artifacts and ensuring repeatability of outcomes. Corpora such as DaCapo and Defects4J provide a collection of real-world open-source projects for evaluating the robustness and performance of software tools like static analysers. However, what do we know about these corpora? What do we know about their composition? Are they really suited for our particular problem? We developed JFEATURE, an extensible static analysis tool that extracts syntactic and semantic features from Java programs, to assist developers in answering these questions. We demonstrate the potential of JFEATURE by applying it to four widely-used corpora in the program analysis area, and we suggest other applications, including longitudinal studies of individual Java projects and the creation of new corpora.",

keywords = "Software Corpora, Software Tools, Source-Code Analysis",

author = "Idriss Riouak and Gorel Hedin and Christoph Reichenbach and Niklas Fors",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2022 ; Conference date: 03-10-2022 Through 04-10-2022",

year = "2022",

doi = "10.1109/SCAM55253.2022.00033",

language = "English",

pages = "236--241",

booktitle = "Proceedings - 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation, SCAM 2022",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Riouak, I , Hedin, G , Reichenbach, C & Fors, N 2022, JFeature: Know Your Corpus. in Proceedings - 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation, SCAM 2022. IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 236-241, 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2022, Limassol, Cyprus, 2022/10/03. https://doi.org/10.1109/SCAM55253.2022.00033

JFeature: Know Your Corpus. / Riouak, Idriss ; Hedin, Gorel ; Reichenbach, Christoph et al.
Proceedings - 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation, SCAM 2022. IEEE - Institute of Electrical and Electronics Engineers Inc., 2022. p. 236-241.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - JFeature

T2 - 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2022

AU - Riouak, Idriss

AU - Hedin, Gorel

AU - Reichenbach, Christoph

AU - Fors, Niklas

PY - 2022

Y1 - 2022

N2 - Software corpora are crucial for evaluating research artifacts and ensuring repeatability of outcomes. Corpora such as DaCapo and Defects4J provide a collection of real-world open-source projects for evaluating the robustness and performance of software tools like static analysers. However, what do we know about these corpora? What do we know about their composition? Are they really suited for our particular problem? We developed JFEATURE, an extensible static analysis tool that extracts syntactic and semantic features from Java programs, to assist developers in answering these questions. We demonstrate the potential of JFEATURE by applying it to four widely-used corpora in the program analysis area, and we suggest other applications, including longitudinal studies of individual Java projects and the creation of new corpora.

AB - Software corpora are crucial for evaluating research artifacts and ensuring repeatability of outcomes. Corpora such as DaCapo and Defects4J provide a collection of real-world open-source projects for evaluating the robustness and performance of software tools like static analysers. However, what do we know about these corpora? What do we know about their composition? Are they really suited for our particular problem? We developed JFEATURE, an extensible static analysis tool that extracts syntactic and semantic features from Java programs, to assist developers in answering these questions. We demonstrate the potential of JFEATURE by applying it to four widely-used corpora in the program analysis area, and we suggest other applications, including longitudinal studies of individual Java projects and the creation of new corpora.

KW - Software Corpora

KW - Software Tools

KW - Source-Code Analysis

UR - http://www.scopus.com/inward/record.url?scp=85146926569&partnerID=8YFLogxK

U2 - 10.1109/SCAM55253.2022.00033

DO - 10.1109/SCAM55253.2022.00033

M3 - Paper in conference proceeding

AN - SCOPUS:85146926569

SP - 236

EP - 241

BT - Proceedings - 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation, SCAM 2022

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

Y2 - 3 October 2022 through 4 October 2022

ER -

JFeature: Know Your Corpus

Abstract

Conference

Subject classification (UKÄ)

Free keywords

Access to Document

Other files and links

Fingerprint

A Precise Framework for Source-Level Control-Flow Analysis

Explainable Declarative Programming Analysis

Cite this

JFeature: Know Your Corpus

Abstract

Conference

Subject classification (UKÄ)

Free keywords

Access to Document

Other files and links

Fingerprint

Research output

A Precise Framework for Source-Level Control-Flow Analysis

Projects

Explainable Declarative Programming Analysis

Cite this