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09/06/2023
Method-Level Bug Severity Prediction using Source Code Metrics and LLMs
In the past couple of decades, significant research efforts are devoted ...
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08/15/2023
Automated Test Case Generation Using Code Models and Domain Adaptation
State-of-the-art automated test generation techniques, such as search-ba...
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06/21/2023
Black-Box Prediction of Flaky Test Fix Categories Using Language Models
Flaky tests are problematic because they non-deterministically pass or f...
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02/13/2023
A Systematic Literature Review of Explainable AI for Software Engineering
Context: In recent years, leveraging machine learning (ML) techniques ha...
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12/21/2022
Improving Automated Program Repair with Domain Adaptation
Automated Program Repair (APR) is defined as the process of fixing a bug...
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11/23/2022
Explainable AI for Pre-Trained Code Models: What Do They Learn? When They Do Not Work?
In recent years, there has been a wide interest in designing deep neural...
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09/18/2022
Improving the Performance of DNN-based Software Services using Automated Layer Caching
Deep Neural Networks (DNNs) have become an essential component in many a...
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06/28/2022
Test2Vec: An Execution Trace Embedding for Test Case Prioritization
Most automated software testing tasks can benefit from the abstract repr...
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06/26/2022
An Empirical Study on Bug Severity Estimation Using Source Code Metrics and Static Analysis
In the past couple of decades, significant research efforts are devoted ...
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01/05/2022
Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness
Federated learning (FL) is a widely adopted distributed learning paradig...
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09/20/2021
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms
With the recent increase in the computational power of modern mobile dev...
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03/22/2021
Applying CodeBERT for Automated Program Repair of Java Simple Bugs
Software debugging, and program repair are among the most time-consuming...
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01/20/2021
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding
Over the past few years, deep neural networks (DNNs) have been continuou...
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01/14/2021
GloBug: Using Global Data in Fault Localization
Fault Localization (FL) is an important first step in software debugging...
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01/14/2021
A Pragmatic Approach for Hyper-Parameter Tuning in Search-based Test Case Generation
Search-based test case generation, which is the application of meta-heur...
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01/13/2021
Behavioral Model Inference of Black-box Software using Deep Neural Networks
Many software engineering tasks, such as testing, and anomaly detection ...
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08/26/2020
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems
Inferring behavior model of a running software system is quite useful fo...
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06/13/2019
An IR-based Approach Towards Automated Integration of Geo-spatial Datasets in Map-based Software Systems
Data is arguably the most valuable asset of the modern world. In this er...
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06/05/2019
Revisiting Hyper-Parameter Tuning for Search-based Test Data Generation
Search-based software testing (SBST) has been studied a lot in the liter...
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05/06/2019
Interactive Semi-automated Specification Mining for Debugging: An Experience Report
Context: Specification mining techniques are typically used to extract t...
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03/27/2019
