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08/07/2023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
Machine learning technology has become ubiquitous, but, unfortunately, o...
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03/08/2023
Baldur: Whole-Proof Generation and Repair with Large Language Models
Formally verifying software properties is a highly desirable but labor-i...
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09/06/2022
Avgust: Automating Usage-Based Test Generation from Videos of App Executions
Writing and maintaining UI tests for mobile apps is a time-consuming and...
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08/24/2022
Enforcing Delayed-Impact Fairness Guarantees
Recent research has shown that seemingly fair machine learning models, w...
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04/21/2022
Passport: Improving Automated Formal Verification Using Identifiers
Formally verifying system properties is one of the most effective ways o...
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03/10/2021
Blindspots in Python and Java APIs Result in Vulnerable Code
Blindspots in APIs can cause software engineers to introduce vulnerabili...
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12/17/2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models
Modern software relies heavily on data and machine learning, and affects...
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11/16/2020
Automatically Repairing Programs Using Both Tests and Bug Reports
The success of automated program repair (APR) depends significantly on i...
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10/05/2020
Wasm/k: Delimited Continuations for WebAssembly
WebAssembly is designed to be an alternative to JavaScript that is a saf...
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02/15/2019
Formal Foundations of Serverless Computing
A robust, large-scale web service can be difficult to engineer. When dem...
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09/19/2018
Causal Testing: Finding Defects' Root Causes
Isolating and repairing unexpected or buggy software behavior typically ...
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09/15/2017
Tortoise: Interactive System Configuration Repair
System configuration languages provide powerful abstractions that simpli...
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09/11/2017
Fairness Testing: Testing Software for Discrimination
This paper defines software fairness and discrimination and develops a t...
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09/05/2017
