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08/14/2023
Understanding Hackers' Work: An Empirical Study of Offensive Security Practitioners
Offensive security-tests are a common way to pro-actively discover poten...
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07/24/2023
Getting pwn'd by AI: Penetration Testing with Large Language Models
The field of software security testing, more specifically penetration te...
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04/19/2023
An Exploratory Study of Ad Hoc Parsers in Python
Background: Ad hoc parsers are pieces of code that use common string fun...
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08/08/2022
Learning to Learn to Predict Performance Regressions in Production at Meta
Catching and attributing code change-induced performance regressions in ...
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02/02/2022
Grammars for Free: Toward Grammar Inference for Ad Hoc Parsers
Ad hoc parsers are everywhere: they appear any time a string is split, l...
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11/10/2021
Counterfactual Explanations for Models of Code
Machine learning (ML) models play an increasingly prevalent role in many...
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05/04/2021
Interactive Static Software Performance Analysis in the IDE
Detecting performance issues due to suboptimal code during the developme...
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03/29/2021
Meeting in the notebook: a notebook-based environment for micro-submissions in data science collaborations
Developers in data science and other domains frequently use computationa...
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12/18/2020
An Empirical Investigation of Command-Line Customization
The interactive command line, also known as the shell, is a prominent me...
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12/14/2020
Enabling collaborative data science development with the Ballet framework
While the open-source model for software development has led to successf...
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07/15/2019
