activity
20172023
most citedDeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning

20 citations · 33 across the 6 of their papers we have counts for

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Showing cs.SEShow all

6 papers · 1 filter

cs.SE20231 cited

TRACED: Execution-aware Pre-training for Source Code

Yangruibo Ding, Ben Steenhoek, Kexin Pei +3

Most existing pre-trained language models for source code focus on learning the static code text, typically augmented with static code structures (abstract syntax tree, dependency…

cs.SE202111 cited

Validating Static Warnings via Testing Code Fragments

Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek +1

Static analysis is an important approach for finding bugs and vulnerabilities in software. However, inspecting and confirming static warnings are challenging and time-consuming. In…

cs.SE20211 cited

DeepLocalize: Fault Localization for Deep Neural Networks

Mohammad Wardat, Wei Le, Hridesh Rajan

Deep neural networks (DNNs) are becoming an integral part of most software systems. Previous work has shown that DNNs have bugs. Unfortunately, existing debugging techniques do not…

cs.SE2019

Testing Criteria for Mobile Apps Based on Callback Sequences

Danilo Dominguez Perez, Wei Le

App quality has been shown to be the most important indicator of app adoption. To assure quality, developers mainly use testing to find bugs in app and apply structural and GUI tes…

cs.SE2019

Invariant Diffs

Ashwin Kallingal Joshy, Wei Le

Software development is inherently incremental. Nowadays, many software companies adopt an agile process and a shorter release cycle, where software needs to be delivered faster wi…

cs.SE2017

Generating Predicate Callback Summaries for the Android Framework

Danilo Dominguez Perez, Wei Le

One of the challenges of analyzing, testing and debugging Android apps is that the potential execution orders of callbacks are missing from the apps' source code. However, bugs, vu…