Exploring Learning-Based Software Violation Detection: Suitable Techniques and Impact Patterns of Improvement Methods - Replication Package

Zhao Li; Sherlock Licorish; Markus Wagner; Sumudu Liyanage; Stephen MacDonell

doi:10.5281/zenodo.21973569

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Exploring Learning-Based Software Violation Detection: Suitable Techniques and Impact Patterns of Improvement Methods - Replication Package

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Exploring Learning-Based Software Violation Detection: Suitable Techniques and Impact Patterns of Improvement Methods - Replication Package

Zhao Li, Sherlock Licorish, Markus Wagner, Sumudu Liyanage and Stephen MacDonell

Zenodo

17/08/2026

DOI: https://doi.org/10.5281/zenodo.21973569

Handle:

https://hdl.handle.net/10523/52221

Abstract

replication package

The file attached is the replication package for the experiments presented in the paper "Exploring Learning-Based Software Violation Detection: Suitable Techniques and Impact Patterns of Improvement Methods". This package contains the dataset, scripts for RQ1, and scripts for RQ2.

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https://doi.org/10.5281/zenodo.21973569View

Replication Package Open CC BY V4.0

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Record Identifier: 9926901010301891
Title: Exploring Learning-Based Software Violation Detection: Suitable Techniques and Impact Patterns of Improvement Methods - Replication Package
Creators: Zhao Li
Sherlock Licorish
Markus Wagner
Sumudu Liyanage
Stephen MacDonell
Academic Unit: School of Computing
Publisher: Zenodo
Date published ; e-published: 17/08/2026
Language: English
Resource Type ; Subtype: Dataset