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Java Bytecode Normalization for Code Similarity Analysis (Artifact)

Authors Stefan Schott , Serena Elisa Ponta , Wolfram Fischer , Jonas Klauke , Eric Bodden

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DARTS.10.2.20.pdf
  • Filesize: 476 kB
  • 3 pages

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Subject Classification

ACM Subject Classification
  • Software and its engineering → Compilers
Keywords
  • Bytecode
  • Java Compiler
  • Code Similarity Analysis

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Abstract

This artifact supports the claim that different Java compilation environments can produce significantly different bytecode and that bytecode normalization applied via our tool jNorm heavily decreases the amount of compilation differences and helps boost the performance of subsequent code similarity analysis. Our artifact provides the source code of the tool jNorm and all scripts needed to reproduce the results we presented in our evaluation. Furthermore, it contains a study on the usage of different Java compilers and target levels within popular open-source projects, which showcases that the JDK compiler is by far the most relevant compiler in practice.

Cite As Get BibTex

Stefan Schott, Serena Elisa Ponta, Wolfram Fischer, Jonas Klauke, and Eric Bodden. Java Bytecode Normalization for Code Similarity Analysis (Artifact). In Special Issue of the 38th European Conference on Object-Oriented Programming (ECOOP 2024). Dagstuhl Artifacts Series (DARTS), Volume 10, Issue 2, pp. 20:1-20:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/DARTS.10.2.20

Author Details

Stefan Schott
  • Paderborn University, Germany
Serena Elisa Ponta
  • SAP Security Research, Mougins, France
Wolfram Fischer
  • SAP Security Research, Mougins, France
Jonas Klauke
  • Paderborn University, Germany
Eric Bodden
  • Paderborn University, Germany
  • Fraunhofer IEM, Paderborn, Germany

Funding

This work was partially supported by the German Research Foundation (DFG) within the Collaborative Research Centre "On-The-Fly Computing" (GZ: SFB 901/3) under the project number 160364472.

Artifact

  MD5 Sum: 5e7eba9447b1983a73aad8b6d2983432 (Get MD5 Sum)

Artifact Evaluation Policy

The artifact has been evaluated as described in the ECOOP 2024 Call for Artifacts and the ACM Artifact Review and Badging Policy.

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