b'Foutse Khomh'

research

∙ 08/31/2023

Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing

One of the critical phases in software development is software testing. ...

0 Arghavan Moradi Dakhel, et al. ∙

research

∙ 08/24/2023

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing

Evolutionary search-based techniques are commonly used for testing auton...

0 Dmytro Humeniuk, et al. ∙

research

∙ 08/23/2023

An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems

Deep reinforcement learning (DRL) is increasingly applied in large-scale...

0 Ahmed Haj Yahmed, et al. ∙

research

∙ 08/23/2023

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges

Deep reinforcement learning (DRL), leveraging Deep Learning (DL) in rein...

0 Ahmed Haj Yahmed, et al. ∙

research

∙ 08/17/2023

On the Effectiveness of Log Representation for Log-based Anomaly Detection

Logs are an essential source of information for people to understand the...

0 Xingfang Wu, et al. ∙

research

∙ 08/07/2023

Exploring Security Practices in Infrastructure as Code: An Empirical Study

Cloud computing has become popular thanks to the widespread use of Infra...

0 Alexandre Verdet, et al. ∙

research

∙ 07/25/2023

An Empirical Study on Bugs Inside PyTorch: A Replication Study

Software systems are increasingly relying on deep learning components, d...

0 Sharon Chee Yin Ho, et al. ∙

research

∙ 05/31/2023

Responsible Design Patterns for Machine Learning Pipelines

Integrating ethical practices into the AI development process for artifi...

0 Saud Hakem Al Harbi, et al. ∙

research

∙ 04/29/2023

Leveraging Data Mining Algorithms to Recommend Source Code Changes

Context: Recent research has used data mining to develop techniques that...

0 AmirHossein Naghshzan, et al. ∙

research

∙ 03/28/2023

On Codex Prompt Engineering for OCL Generation: An Empirical Study

The Object Constraint Language (OCL) is a declarative language that adds...

0 Seif Abukhalaf, et al. ∙

research

∙ 01/13/2023

Mutation Testing of Deep Reinforcement Learning Based on Real Faults

Testing Deep Learning (DL) systems is a complex task as they do not beha...

0 Florian Tambon, et al. ∙

research

∙ 01/10/2023

Studying Logging Practice in Machine Learning-based Applications

Logging is a common practice in traditional software development. Severa...

0 Patrick Loic Foalem, et al. ∙

research

∙ 01/01/2023

AmbieGen: A Search-based Framework for Autonomous Systems Testing

Thorough testing of safety-critical autonomous systems, such as self-dri...

0 Dmytro Humeniuk, et al. ∙

research

∙ 12/26/2022

Studying the Characteristics of AIOps Projects on GitHub

Artificial Intelligence for IT Operations (AIOps) leverages AI approache...

0 Roozbeh Aghili, et al. ∙

research

∙ 12/05/2022

Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?

As machine learning (ML) systems get adopted in more critical areas, it ...

0 Khaled Badran, et al. ∙

research

∙ 11/28/2022

An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks

Recent advances in deep learning (dl) have led to the release of several...

0 Mohamed Raed El aoun, et al. ∙

research

∙ 11/03/2022

Reliable Malware Analysis and Detection using Topology Data Analysis

Increasingly, malwares are becoming complex and they are spreading on ne...

0 Lionel Nganyewou Tidjon, et al. ∙

research

∙ 09/07/2022

SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design

Aircraft industry is constantly striving for more efficient design optim...

0 Houssem Ben Braiek, et al. ∙

research

∙ 09/07/2022

Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation

In the context of aircraft system performance assessment, deep learning ...

0 Houssem Ben Braiek, et al. ∙

research

∙ 08/28/2022

An Empirical Study on the Usage of Automated Machine Learning Tools

The popularity of automated machine learning (AutoML) tools in different...

0 Forough Majidi, et al. ∙

research

∙ 08/25/2022

A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks

Software testing activities aim to find the possible defects of a softwa...

0 Paulina Stevia Nouwou Mindom, et al. ∙

research

∙ 08/18/2022

Quality issues in Machine Learning Software Systems

Context: An increasing demand is observed in various domains to employ M...

0 Pierre-Olivier Côté, et al. ∙

research

∙ 08/18/2022

Data-access performance anti-patterns in data-intensive systems

Data-intensive systems handle variable, high volume, and high-velocity d...

0 Biruk Asmare Muse, et al. ∙

research

∙ 08/11/2022

A Probabilistic Framework for Mutation Testing in Deep Neural Networks

Context: Mutation Testing (MT) is an important tool in traditional Softw...

0 Florian Tambon, et al. ∙

research

∙ 07/13/2022

DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment

Quantization is one of the most applied Deep Neural Network (DNN) compre...

9 Ahmed Haj Yahmed, et al. ∙

research

∙ 07/11/2022

Dev2vec: Representing Domain Expertise of Developers in an Embedding Space

Accurate assessment of the domain expertise of developers is important f...

0 Arghavan Moradi Dakhel, et al. ∙

research

∙ 06/30/2022

Threat Assessment in Machine Learning based Systems

Machine learning is a field of artificial intelligence (AI) that is beco...

0 Lionel Nganyewou Tidjon, et al. ∙

research

∙ 06/30/2022

GitHub Copilot AI pair programmer: Asset or Liability?

Automatic program synthesis is a long-lasting dream in software engineer...

0 Arghavan Moradi Dakhel, et al. ∙

research

∙ 06/28/2022

An Empirical Study of Challenges in Converting Deep Learning Models

There is an increase in deploying Deep Learning (DL)-based software syst...

0 Moses Openja, et al. ∙

research

∙ 06/24/2022

Bugs in Machine Learning-based Systems: A Faultload Benchmark

The rapid escalation of applying Machine Learning (ML) in various domain...

0 Mohammad Mehdi Morovati, et al. ∙

research

∙ 06/23/2022

Never trust, always verify : a roadmap for Trustworthy AI?

Artificial Intelligence (AI) is becoming the corner stone of many system...

0 Lionel Nganyewou Tidjon, et al. ∙

research

∙ 06/01/2022

Studying the Practices of Deploying Machine Learning Projects on Docker

Docker is a containerization service that allows for convenient deployme...

0 Moses Openja, et al. ∙

research

∙ 06/01/2022

Technical Debts and Faults in Open-source Quantum Software Systems: An Empirical Study

Quantum computing is a rapidly growing field attracting the interest of ...

0 Moses Openja, et al. ∙

research

∙ 05/12/2022

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis

Artificial Intelligence (AI) is transforming our daily life with several...

0 Lionel Nganyewou Tidjon, et al. ∙

research

∙ 05/06/2022

Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues

With the advance in quantum computing, quantum software becomes critical...

0 Mohamed Raed El aoun, et al. ∙

research

∙ 04/25/2022

Bug Characteristics in Quantum Software Ecosystem

With the advance in quantum computing in recent years, quantum software ...

0 Mohamed Raed El aoun, et al. ∙

research

∙ 04/01/2022

Testing Feedforward Neural Networks Training Programs

Nowadays, we are witnessing an increasing effort to improve the performa...

0 Houssem Ben Braiek, et al. ∙

research

∙ 03/23/2022

A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems

Many modern cyber physical systems incorporate computer vision technolog...

0 Dmytro Humeniuk, et al. ∙

research

∙ 02/07/2022

Do Developers Refactor Data Access Code? An Empirical Study

Developers often refactor code to improve the maintainability and compre...

0 Biruk Asmare Muse, et al. ∙

research

∙ 01/06/2022

On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems

Code smells indicate software design problems that harm software quality...

0 Biruk Asmare Muse, et al. ∙

research

∙ 01/06/2022

FIXME: Synchronize with Database An Empirical Study of Data Access Self-Admitted Technical Debt

Developers sometimes choose design and implementation shortcuts due to t...

0 Biruk Asmare Muse, et al. ∙

research

∙ 12/31/2021

Machine Learning Application Development: Practitioners' Insights

Nowadays, intelligent systems and services are getting increasingly popu...

37 Md Saidur Rahman, et al. ∙

research

∙ 12/26/2021

Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow

Deep Learning (DL) frameworks are now widely used, simplifying the creat...

0 Florian Tambon, et al. ∙

research

∙ 11/13/2021

Reputation Gaming in Stack Overflow

Stack Overflow incentive system awards users with reputation scores to e...

0 Iren Mazloomzadeh, et al. ∙

research

∙ 11/08/2021

On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods

The increasing adoption of Reinforcement Learning in safety-critical sys...

0 Paulina Stevia Nouwou Mindom, et al. ∙

research

∙ 11/04/2021

An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets

Sentiment analysis in software engineering (SE) has shown promise to ana...

0 Gias Uddin, et al. ∙

research

∙ 10/26/2021

Partial order: Finding Consensus among Uncertain Feature Attributions

Post-hoc feature importance is progressively being employed to explain d...

0 Gabriel Laberge, et al. ∙

research

∙ 09/09/2021

The challenge of reproducible ML: an empirical study on the impact of bugs

Reproducibility is a crucial requirement in scientific research. When re...

0 Emilio Rivera-Landos, et al. ∙

research

∙ 09/07/2021

Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation

The Hadoop scheduler is a centerpiece of Hadoop, the leading processing ...

0 Mbarka Soualhia, et al. ∙

research

∙ 08/11/2021

The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study

Being light-weight and cost-effective, IR-based approaches for bug local...

0 Mohammad Masudur Rahman, et al. ∙

Foutse Khomh

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