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08/21/2023
Large Language Models for Software Engineering: A Systematic Literature Review
Large Language Models (LLMs) have significantly impacted numerous domain...
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07/06/2023
BrickPal: Augmented Reality-based Assembly Instructions for Brick Models
The assembly instruction is a mandatory component of Lego-like brick set...
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05/31/2023
Data Augmentation Approaches for Source Code Models: A Survey
The increasingly popular adoption of source code in many critical tasks ...
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05/27/2023
Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing
Recent studies have proposed the use of Text-To-Speech (TTS) systems to ...
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04/11/2023
APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge
Utilizing pre-existing software artifacts, such as libraries and Applica...
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04/05/2023
APIHarvest: Harvesting API Information from Various Online Sources
Using APIs to develop software applications is the norm. APIs help devel...
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03/13/2023
Representation Learning for Stack Overflow Posts: How Far are We?
The tremendous success of Stack Overflow has accumulated an extensive co...
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03/11/2023
NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python
Machine learning (ML) has gained much attention and been incorporated in...
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02/11/2023
ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems
Recent years have witnessed wider adoption of Automated Speech Recogniti...
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03/21/2022
PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models
Stack Overflow is often viewed as the most influential Software Question...
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03/04/2022
Detecting Offensive Language on Social Networks: An End-to-end Detection Method based on Graph Attention Networks
The pervasiveness of offensive language on the social network has caused...
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01/27/2022
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?
APIs (Application Programming Interfaces) are reusable software librarie...
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01/01/2022
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks
Deep neural networks (DNN) have been widely applied in modern life, incl...
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06/14/2021
IncBL: Incremental Bug Localization
Numerous efforts have been invested in improving the effectiveness of bu...
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05/31/2021
CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition
Developers need to perform adequate testing to ensure the quality of Aut...
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05/31/2021
BiasRV: Uncovering Biased Sentiment Predictions at Runtime
Sentiment analysis (SA) systems, though widely applied in many domains, ...
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02/03/2021
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems
Artificial Intelligence (AI) software systems, such as Sentiment Analysi...
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08/10/2020
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform
The Coronavirus Disease 2019 (COVID-19) has now become a pandemic, infli...
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07/13/2020
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos
Many semantic events in team sport activities e.g. basketball often invo...
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12/02/2019
Addict Free – A Smart and Connected Relapse Intervention Mobile App
It is widely acknowledged that addiction relapse is highly associated wi...
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12/02/2019
Discovering Opioid Use Patterns from Social Media for Relapse Prevention
The United States is currently experiencing an unprecedented opioid cris...
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09/16/2019
Data Centers Job Scheduling with Deep Reinforcement Learning
Efficient job scheduling on data centers under heterogeneous complexity ...
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09/16/2019
Job Scheduling on Data Centers with Deep Reinforcement Learning
Efficient job scheduling on data centers under heterogeneous complexity ...
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03/16/2019
Ontology Based Global and Collective Motion Patterns for Event Classification in Basketball Videos
In multi-person videos, especially team sport videos, a semantic event i...
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11/16/2018
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction
Understanding and accurately predicting within-field spatial variability...
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11/12/2018
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning
A crucial and time-sensitive task when any disaster occurs is to rescue ...
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11/12/2018
Forecasting People's Needs in Hurricane Events from Social Network
Social networks can serve as a valuable communication channel for calls ...
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11/08/2017