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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. ...
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08/24/2023
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing
Evolutionary search-based techniques are commonly used for testing auton...
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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...
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08/23/2023
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges
Deep reinforcement learning (DRL), leveraging Deep Learning (DL) in rein...
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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...
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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...
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07/25/2023
An Empirical Study on Bugs Inside PyTorch: A Replication Study
Software systems are increasingly relying on deep learning components, d...
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05/31/2023
Responsible Design Patterns for Machine Learning Pipelines
Integrating ethical practices into the AI development process for artifi...
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04/29/2023
Leveraging Data Mining Algorithms to Recommend Source Code Changes
Context: Recent research has used data mining to develop techniques that...
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03/28/2023
On Codex Prompt Engineering for OCL Generation: An Empirical Study
The Object Constraint Language (OCL) is a declarative language that adds...
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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...
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01/10/2023
Studying Logging Practice in Machine Learning-based Applications
Logging is a common practice in traditional software development. Severa...
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01/01/2023
AmbieGen: A Search-based Framework for Autonomous Systems Testing
Thorough testing of safety-critical autonomous systems, such as self-dri...
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12/26/2022
Studying the Characteristics of AIOps Projects on GitHub
Artificial Intelligence for IT Operations (AIOps) leverages AI approache...
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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 ...
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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...
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11/03/2022
Reliable Malware Analysis and Detection using Topology Data Analysis
Increasingly, malwares are becoming complex and they are spreading on ne...
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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...
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09/07/2022
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation
In the context of aircraft system performance assessment, deep learning ...
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08/28/2022
An Empirical Study on the Usage of Automated Machine Learning Tools
The popularity of automated machine learning (AutoML) tools in different...
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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...
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08/18/2022
Quality issues in Machine Learning Software Systems
Context: An increasing demand is observed in various domains to employ M...
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08/18/2022
Data-access performance anti-patterns in data-intensive systems
Data-intensive systems handle variable, high volume, and high-velocity d...
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08/11/2022
A Probabilistic Framework for Mutation Testing in Deep Neural Networks
Context: Mutation Testing (MT) is an important tool in traditional Softw...
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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...
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07/11/2022
Dev2vec: Representing Domain Expertise of Developers in an Embedding Space
Accurate assessment of the domain expertise of developers is important f...
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06/30/2022
Threat Assessment in Machine Learning based Systems
Machine learning is a field of artificial intelligence (AI) that is beco...
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06/30/2022
GitHub Copilot AI pair programmer: Asset or Liability?
Automatic program synthesis is a long-lasting dream in software engineer...
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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...
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06/24/2022
Bugs in Machine Learning-based Systems: A Faultload Benchmark
The rapid escalation of applying Machine Learning (ML) in various domain...
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06/23/2022
Never trust, always verify : a roadmap for Trustworthy AI?
Artificial Intelligence (AI) is becoming the corner stone of many system...
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06/01/2022
Studying the Practices of Deploying Machine Learning Projects on Docker
Docker is a containerization service that allows for convenient deployme...
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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 ...
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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...
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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...
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04/25/2022
Bug Characteristics in Quantum Software Ecosystem
With the advance in quantum computing in recent years, quantum software ...
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04/01/2022
Testing Feedforward Neural Networks Training Programs
Nowadays, we are witnessing an increasing effort to improve the performa...
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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...
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02/07/2022
Do Developers Refactor Data Access Code? An Empirical Study
Developers often refactor code to improve the maintainability and compre...
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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...
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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...
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12/31/2021
Machine Learning Application Development: Practitioners' Insights
Nowadays, intelligent systems and services are getting increasingly popu...
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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...
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11/13/2021
Reputation Gaming in Stack Overflow
Stack Overflow incentive system awards users with reputation scores to e...
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11/08/2021
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods
The increasing adoption of Reinforcement Learning in safety-critical sys...
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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...
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10/26/2021
Partial order: Finding Consensus among Uncertain Feature Attributions
Post-hoc feature importance is progressively being employed to explain d...
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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...
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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 ...
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08/11/2021