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06/13/2023
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems
Modern computer systems are highly-configurable, with hundreds of config...
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06/13/2023
TRACED: Execution-aware Pre-training for Source Code
Most existing pre-trained language models for source code focus on learn...
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06/10/2023
Automated Code Editing with Search-Generate-Modify
Code editing is essential in evolving software development. Many automat...
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06/10/2023
Language-Guided Traffic Simulation via Scene-Level Diffusion
Realistic and controllable traffic simulation is a core capability that ...
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06/05/2023
CONCORD: Clone-aware Contrastive Learning for Source Code
Deep Learning (DL) models to analyze source code have shown immense prom...
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06/05/2023
A Static Evaluation of Code Completion by Large Language Models
Large language models trained on code have shown great potential to incr...
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04/25/2023
TraceFixer: Execution Trace-Driven Program Repair
When debugging unintended program behavior, developers can often identif...
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03/14/2023
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning
We introduce a framework to measure how biases change before and after f...
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03/09/2023
Greener yet Powerful: Taming Large Code Generation Models with Quantization
ML-powered code generation aims to assist developers to write code in a ...
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02/21/2023
On ML-Based Program Translation: Perils and Promises
With the advent of new and advanced programming languages, it becomes im...
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12/20/2022
ReCode: Robustness Evaluation of Code Generation Models
Code generation models have achieved impressive performance. However, th...
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10/31/2022
Guided Conditional Diffusion for Controllable Traffic Simulation
Controllable and realistic traffic simulation is critical for developing...
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10/26/2022
Multi-lingual Evaluation of Code Generation Models
We present MBXP, an execution-based code completion benchmark in 10+ pro...
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10/04/2022
NeuDep: Neural Binary Memory Dependence Analysis
Determining whether multiple instructions can access the same memory loc...
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10/03/2022
ContraGen: Effective Contrastive Learning For Causal Language Model
Despite exciting progress in large-scale language generation, the expres...
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09/29/2022
IvySyn: Automated Vulnerability Discovery for Deep Learning Frameworks
We present IvySyn: the first fully-automated framework for vulnerability...
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07/24/2022
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture
Microservices Architecture (MSA) has become a de-facto standard for desi...
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06/15/2022
NatGen: Generative pre-training by "Naturalizing" source code
Pre-trained Generative Language models (e.g. PLBART, CodeT5, SPT-Code) f...
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05/23/2022
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages
Back-translation is widely known for its effectiveness for neural machin...
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03/24/2022
Repairing Group-Level Errors for DNNs Using Weighted Regularization
Deep Neural Networks (DNNs) have been widely used in software making dec...
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01/20/2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality
Modern computer systems are highly configurable, with the total variabil...
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01/11/2022
Predictive Synthesis of API-Centric Code
Today's programmers, especially data science practitioners, make heavy u...
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12/20/2021
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements
Automatically locating vulnerable statements in source code is crucial t...
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10/08/2021
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Understanding the functional (dis)-similarity of source code is signific...
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09/14/2021
Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving
Autonomous driving (AD) systems have been thriving in recent years. In g...
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09/13/2021
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles
Self-driving cars and trucks, autonomous vehicles (AVs), should not be a...
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08/26/2021
Retrieval Augmented Code Generation and Summarization
Software developers write a lot of source code and documentation during ...
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08/15/2021
On Multi-Modal Learning of Editing Source Code
In recent years, Neural Machine Translator (NMT) has shown promise in au...
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03/10/2021
Unified Pre-training for Program Understanding and Generation
Code summarization and generation empower conversion between programming...
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12/16/2020
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity
Detecting semantically similar functions – a crucial analysis capability...
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10/12/2020
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning
Modern computing platforms are highly-configurable with thousands of int...
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10/09/2020
Understanding Spatial Robustness of Deep Neural Networks
Deep Neural Networks (DNNs) are being deployed in a wide range of settin...
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09/17/2020
Deep Learning Software Engineering: State of Research and Future Directions
Given the current transformative potential of research that sits at the ...
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09/03/2020
Deep Learning based Vulnerability Detection: Are We There Yet?
Automated detection of software vulnerabilities is a fundamental problem...
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08/24/2020
Patching as Translation: the Data and the Metaphor
Machine Learning models from other fields, like Computational Linguistic...
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07/14/2020
Multitask Learning Strengthens Adversarial Robustness
Although deep networks achieve strong accuracy on a range of computer vi...
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05/25/2020
MTFuzz: Fuzzing with a Multi-Task Neural Network
Fuzzing is a widely used technique for detecting software bugs and vulne...
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05/23/2020
Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations
This paper introduces Pythia, the first fuzzer that augments grammar-bas...
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05/01/2020
A Transformer-based Approach for Source Code Summarization
Generating a readable summary that describes the functionality of a prog...
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11/18/2019
Rebuttal to Berger et al., TOPLAS 2019
Berger et al., published in TOPLAS 2019, is a critique of our 2014 FSE c...
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10/17/2019
ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance
Configuration space complexity makes the big-data software systems hard ...
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10/06/2019
Unrestricted Adversarial Attacks for Semantic Segmentation
Semantic segmentation is one of the most impactful applications of machi...
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09/03/2019
Metric Learning for Adversarial Robustness
Deep networks are well-known to be fragile to adversarial attacks. Using...
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07/08/2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks
Dynamic taint analysis (DTA) is widely used by various applications to t...
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05/20/2019
Testing Deep Neural Network based Image Classifiers
Image classification is an important task in today's world with many app...
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09/30/2018
Tree2Tree Neural Translation Model for Learning Source Code Changes
The way developers edit day-to-day code tend to be repetitive and often ...
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08/08/2018
A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks
Information Retrieval (IR) plays a pivotal role in diverse Software Engi...
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07/15/2018
NEUZZ: Efficient Fuzzing with Neural Program Learning
Fuzzing has become the de facto standard technique for finding software ...
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06/06/2018
Obfuscation Resilient Search through Executable Classification
Android applications are usually obfuscated before release, making it di...
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06/06/2018