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08/23/2023
FECoM: A Step towards Fine-Grained Energy Measurement for Deep Learning
With the increasing usage, scale, and complexity of Deep Learning (DL) m...
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07/25/2023
An Empirical Study on Fairness Improvement with Multiple Protected Attributes
Existing research mostly improves the fairness of Machine Learning (ML) ...
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06/02/2023
SuperFlow: Performance Testing for Serverless Computing
Serverless computing is an emerging cloud computing paradigm that allows...
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05/29/2023
Assess and Summarize: Improve Outage Understanding with Large Language Models
Cloud systems have become increasingly popular in recent years due to th...
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05/07/2023
Revisiting the Performance of Serverless Computing: An Analysis of Variance
Serverless computing is an emerging cloud computing paradigm, which allo...
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09/17/2022
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
Fairness testing aims at mitigating unintended discrimination in the dec...
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09/01/2022
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Second Replication Study (GPT2SP Replication Report)
Fu and Tantithamthavorn have recently proposed GPT2SP, a Transformer-bas...
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07/22/2022
Test-based Patch Clustering for Automatically-Generated Patches Assessment
Previous studies have shown that Automated Program Repair (APR) techniqu...
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07/20/2022
Fairness Testing: A Comprehensive Survey and Analysis of Trends
Software systems are vulnerable to fairness bugs and frequently exhibit ...
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07/14/2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
This paper provides a comprehensive survey of bias mitigation methods fo...
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07/07/2022
A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness
Software bias is an increasingly important operational concern for softw...
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07/04/2022
Do Not Take It for Granted: Comparing Open-Source Libraries for Software Development Effort Estimation
In the past two decades, several Machine Learning (ML) libraries have be...
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02/24/2022
Investigating the Use of One-Class Support Vector Machine for Software Defect Prediction
Early software defect identification is considered an important step tow...
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02/02/2022
A Versatile Dataset of Agile Open Source Software Projects
Agile software development is nowadays a widely adopted practise in both...
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01/14/2022
Deep Learning for Agile Effort Estimation Have We Solved the Problem Yet?
In the last decade, several studies have proposed the use of automated t...
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10/18/2021
A Survey on Machine Learning Techniques for Source Code Analysis
Context: The advancements in machine learning techniques have encouraged...
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03/12/2021
Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies
Mutation testing is an effective approach to evaluate and strengthen sof...
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10/30/2020
Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience
Context: In-app advertising is the primary source of revenue for many mo...
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10/07/2020
Empirical Standards for Software Engineering Research
Empirical Standards are natural-language models of a scientific communit...
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08/08/2020
FrUITeR: A Framework for Evaluating UI Test Reuse
UI testing is tedious and time-consuming due to the manual effort requir...
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11/30/2013