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05/23/2023
Multi-Granularity Detector for Vulnerability Fixes
With the increasing reliance on Open Source Software, users are exposed ...
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05/09/2023
Using Knowledge Units of Programming Languages to Recommend Reviewers for Pull Requests: An Empirical Study
Code review is a key element of quality assurance in software developmen...
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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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06/17/2022
Is my transaction done yet? An empirical study of transaction processing times in the Ethereum Blockchain Platform
Ethereum is one of the most popular platforms for the development of blo...
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06/17/2022
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study
The Ethereum platform allows developers to implement and deploy applicat...
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04/08/2022
On the Importance of Performing App Analysis Within Peer Groups
The competing nature of the app market motivates us to shift our focus o...
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02/17/2022
Revisiting reopened bugs in open source software systems
Reopened bugs can degrade the overall quality of a software system since...
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02/12/2022
The Impact of Using Regression Models to Build Defect Classifiers
It is common practice to discretize continuous defect counts into defect...
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02/12/2022
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering
Researchers usually discretize a continuous dependent variable into two ...
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02/12/2022
Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction
Software dependency network metrics extracted from the dependency graph ...
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02/08/2022
Assessing the alignment between the information needs of developers and the documentation of programming languages: A case study on Rust
Programming language documentation refers to the set of technical docume...
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02/04/2022
The impact of feature importance methods on the interpretation of defect classifiers
Classifier specific (CS) and classifier agnostic (CA) feature importance...
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09/27/2021
An empirical study of question discussions on Stack Overflow
Stack Overflow provides a means for developers to exchange knowledge. Wh...
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04/08/2021
An Exploratory Study on the Repeatedly Shared External Links on Stack Overflow
On Stack Overflow, users reuse 11,926,354 external links to share the re...
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04/01/2021
Studying Ad Library Integration Strategies of Top Free-to-Download Apps
In-app advertisements have become a major revenue source for app develop...
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03/26/2021
An Empirical Study of the Characteristics of Popular Minecraft Mods
It is becoming increasingly difficult for game developers to manage the ...
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03/12/2021
Building the perfect game – an empirical study of game modifications
Game developers cannot always meet the growing and changing needs of the...
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02/27/2021
A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms
Abstract syntax tree (AST) mapping algorithms are widely used to analyze...
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10/10/2020
Broken External Links on Stack Overflow
Stack Overflow hosts valuable programming-related knowledge with 11,926,...
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10/06/2020
What Makes a Popular Academic AI Repository?
Many AI researchers are publishing code, data and other resources that a...
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05/29/2020
Simplifying Deep-Learning-Based Model for Code Search
To accelerate software development, developers frequently search and reu...
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04/04/2019
Bounties in Open Source Development on GitHub: A Case Study of Bountysource Bounties
Due to the voluntary nature of open source software, it can be hard to f...
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04/01/2019
Does the hiding mechanism for Stack Overflow comments work well? No!
Stack Overflow has accumulated millions of answers. Informative comments...
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03/28/2019
An Empirical Study of Obsolete Answers on Stack Overflow
Stack Overflow accumulates an enormous amount of software engineering kn...
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06/20/2018
The Impact of IR-based Classifier Configuration on the Performance and the Effort of Method-Level Bug Localization
Context: IR-based bug localization is a classifier that assists develope...
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01/31/2018
The Impact of Correlated Metrics on Defect Models
Defect models are analytical models that are used to build empirical the...
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01/31/2018
The Impact of Automated Parameter Optimization on Defect Prediction Models
Defect prediction models---classifiers that identify defect-prone softwa...
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01/31/2018
