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09/15/2023
Practical Program Repair via Preference-based Ensemble Strategy
To date, over 40 Automated Program Repair (APR) tools have been designed...
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08/31/2023
Learning to Represent Patches
Patch representation is crucial in automating various software engineeri...
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08/29/2023
Hyperbolic Code Retrieval: A Novel Approach for Efficient Code Search Using Hyperbolic Space Embeddings
Within the realm of advanced code retrieval, existing methods have prima...
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08/29/2023
Multilevel Semantic Embedding of Software Patches: A Fine-to-Coarse Grained Approach Towards Security Patch Detection
The growth of open-source software has increased the risk of hidden vuln...
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08/24/2023
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective
Proper naming of methods can make program code easier to understand, and...
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07/30/2023
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning
Transformer-based models have revolutionized the performance of a wide r...
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07/24/2023
A Dataset of Android Libraries
Android app developers extensively employ code reuse, integrating many t...
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04/24/2023
Is ChatGPT the Ultimate Programming Assistant – How far is it?
The recent progress in generative AI techniques has significantly influe...
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01/09/2023
Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods An Application to the Android Framework for Data Leak De
Apps on mobile phones manipulate all sorts of data, including sensitive ...
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01/07/2023
App Review Driven Collaborative Bug Finding
Software development teams generally welcome any effort to expose bugs i...
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12/12/2022
A Pre-Trained BERT Model for Android Applications
The automation of an increasingly large number of software engineering t...
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12/03/2022
AI-driven Mobile Apps: an Explorative Study
Recent years have witnessed an astonishing explosion in the evolution of...
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11/03/2022
A Comparative Study of Smartphone and Smart TV Apps
Context: Smart TVs have become one of the most popular television types....
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08/08/2022
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness
In this work, we propose a novel perspective to the problem of patch cor...
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06/13/2022
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
Representation learning of source code is essential for applying machine...
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05/17/2022
A two-steps approach to improve the performance of Android malware detectors
The popularity of Android OS has made it an appealing target to malware ...
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03/08/2022
TriggerZoo: A Dataset of Android Applications Automatically Infected with Logic Bombs
Many Android apps analyzers rely, among other techniques, on dynamic ana...
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12/20/2021
Difuzer: Uncovering Suspicious Hidden Sensitive Operations in Android Apps
One prominent tactic used to keep malicious behavior from being detected...
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12/20/2021
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis
Native code is now commonplace within Android app packages where it co-e...
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12/19/2021
Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?
Bug reports are common artefacts in software development. They serve as ...
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11/15/2021
Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements
Software Fault Localization refers to the activity of finding code eleme...
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09/05/2021
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode
Computer vision has witnessed several advances in recent years, with unp...
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07/28/2021
Checking Patch Behaviour against Test Specification
Towards predicting patch correctness in APR, we propose a simple, but no...
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12/17/2020
RAICC: Revealing Atypical Inter-Component Communication in Android Apps
Inter-Component Communication (ICC) is a key mechanism in Android. It en...
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12/11/2020
IBIR: Bug Report driven Fault Injection
Much research on software engineering and software testing relies on exp...
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11/26/2020
FlexiRepair: Transparent Program Repair with Generic Patches
Template-based program repair research is in need for a common ground to...
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08/07/2020
Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair
A large body of the literature of automated program repair develops appr...
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08/04/2020
Anchor: Locating Android Framework-specific Crashing Faults
Android framework-specific app crashes are hard to debug. Indeed, the ca...
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08/03/2020
On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs
Test-based automated program repair has been a prolific field of researc...
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06/19/2020
A First Look at Android Applications in Google Play related to Covid-19
Due to the convenience of access-on-demand to information and business s...
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06/12/2020
Data-driven Simulation and Optimization for Covid-19 Exit Strategies
The rapid spread of the Coronavirus SARS-2 is a major challenge that led...
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02/07/2020
What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning
Recent successes in training word embeddings for NLP tasks have encourag...
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02/05/2020
MadDroid: Characterising and Detecting Devious Ad Content for Android Apps
Advertisement drives the economy of the mobile app ecosystem. As a key c...
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01/24/2020
Learning to Catch Security Patches
Timely patching is paramount to safeguard users and maintainers against ...
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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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07/12/2019
iFixR: Bug Report driven Program Repair
Issue tracking systems are commonly used in modern software development ...
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04/20/2019
Interviewing the Most Successful Bot on GitHub: Dr Travis CI on 35+ Million of its Jobs
Travis CI handles automatically thousands of builds every day to, amongs...
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03/20/2019
TBar: Revisiting Template-based Automated Program Repair
Fix patterns (a.k.a fix templates) are the main ingredients that drive a...
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02/07/2019
D&C: A Divide-and-Conquer Approach to IR-based Bug Localization
Many automated tasks in software maintenance rely on information retriev...
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12/18/2018
Impact of Tool Support in Patch Construction
In this work, we investigate the practice of patch construction in the L...
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12/18/2018
You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems
Properly benchmarking Automated Program Repair (APR) systems should cont...
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10/03/2018
FixMiner: Mining Relevant Fix Patterns for Automated Program Repair
Code comprehension is critical in software maintenance. Towards providin...
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12/08/2017
Mining Fix Patterns for FindBugs Violations
In this paper, we first collect and track large-scale fixed and unfixed ...
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09/15/2017