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07/18/2023
The Hitchhiker's Guide to Malicious Third-Party Dependencies
The increasing popularity of certain programming languages has spurred t...
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04/11/2023
Journey to the Center of Software Supply Chain Attacks
This work discusses open-source software supply chain attacks and propos...
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02/02/2023
Energy Efficiency of Training Neural Network Architectures: An Empirical Study
The evaluation of Deep Learning models has traditionally focused on crit...
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11/22/2022
Energy Consumption of Automated Program Repair
Automated program repair (APR) aims to automatize the process of repairi...
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10/08/2022
Towards the Detection of Malicious Java Packages
Open-source software supply chain attacks aim at infecting downstream us...
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07/22/2022
Test-based Patch Clustering for Automatically-Generated Patches Assessment
Previous studies have shown that Automated Program Repair (APR) techniqu...
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04/08/2022
Taxonomy of Attacks on Open-Source Software Supply Chains
The widespread dependency on open-source software makes it a fruitful ta...
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11/24/2021
FLACOCO: Fault Localization for Java based on Industry-grade Coverage
Fault localization is an essential step in the debugging process. Spectr...
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08/10/2021
Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size
This paper presents Megadiff, a dataset of source code diffs. It focuses...
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05/10/2021
Neural Program Repair with Execution-based Backpropagation
Neural machine translation (NMT) architectures have achieved promising r...
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03/17/2021
An experience-based recommendation system to support migrations of Android applications from Java to Kotlin
In 2017, Google announced Kotlin as an official Android programming lang...
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12/12/2020
R-Hero: A Software Repair Bot based on Continual Learning
Software bugs are common and correcting them accounts for a significant ...
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12/11/2020
A Comprehensive Study of Code-removal Patches in Automated Program Repair
Automatic Program Repair (APR) techniques can promisingly help reducing ...
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11/20/2020
Hyperparameter Optimization for AST Differencing
Computing the differences between two versions of the same program is an...
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07/14/2020
Longitudinal Analysis of the Applicability of Program Repair on Past Commits
The applicability of program repair in the real world is a little resear...
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03/28/2020
How and Why did developers migrate Android Applications from Java to Kotlin? A study based on code analysis and interviews with developers
Nowadays, the majority of the apps running on mobile devices are Android...
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02/10/2020
E-APR: Mapping the Effectiveness of Automated Program Repair
Automated Program Repair (APR) is a fast growing area with many new tech...
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12/16/2019
RTj: a Java framework for detecting and refactoring rotten green test cases
Rotten green tests are passing tests which have, at least, one assertion...
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10/26/2019
Automated Classification of Overfitting Patches with Statically Extracted Code Features
Automatic program repair (APR) aims to reduce the cost of manually fixin...
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09/30/2019
Automated Patch Assessment for Program Repair at Scale
In this paper, we do automatic correctness assessment for patches genera...
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07/22/2019
Learning the Relation between Code Features and Code Transforms with Structured Prediction
We present in this paper the first approach for structurally predicting ...
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07/21/2019
On the adoption, usage and evolution of Kotlin Features on Android development
Context: Currently, more than 2 million applications are published on Go...
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05/28/2019
Empirical Review of Java Program Repair Tools: A Large-Scale Experiment on 2,141 Bugs and 23,551 Repair Attempts
In the past decade, research on test-suite-based automatic program repai...
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11/10/2018
Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs
We propose NOPOL, an approach to automatic repair of buggy conditional s...
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11/04/2018
Automatic Repair of Real Bugs in Java: A Large-Scale Experiment on the Defects4J Dataset
Defects4J is a large, peer-reviewed, structured dataset of real-world Ja...
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10/24/2018
Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System
Among the many different kinds of program repair techniques, one widely ...
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10/19/2018
Coming: a Tool for Mining Change Pattern Instances from Git Commits
Software repositories such as Git have become a relevant source of infor...
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10/13/2018
Human-competitive Patches in Automatic Program Repair with Repairnator
Repairnator is a bot. It constantly monitors software bugs discovered du...
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07/31/2018
An Empirical Study on Quality of Android Applications written in Kotlin language
Context: During the last years, developers of mobile applications have t...
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05/09/2018
A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark
Automatic program repair papers tend to repeatedly use the same benchmar...
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02/09/2018
Astor: Exploring the Design Space of Generate-and-Validate Program Repair beyond GenProg
During last years, researches have proposed novel repair approaches that...
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01/22/2018
Do Mobile Developers Ask on Q&A Sites About Error Codes Thrown by a Cross-Platform App Development Framework? An Empirical Study
During last years development frameworks have emerged to make easier the...
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12/27/2017
Discovering discussion topics about development of cross-platform mobile applications using a cross-compiler development framework
A cross-platform mobile application is an application that runs on multi...
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12/11/2017
