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07/05/2023
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code
Large language models trained on source code can support a variety of so...
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05/08/2023
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification
The use of modern Natural Language Processing (NLP) techniques has shown...
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04/30/2023
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
Knowledge graphs have shown promise for several cybersecurity tasks, suc...
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04/20/2023
Fully Autonomous Programming with Large Language Models
Current approaches to program synthesis with Large Language Models (LLMs...
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03/13/2023
CHESS: A Framework for Evaluation of Self-adaptive Systems based on Chaos Engineering
There is an increasing need to assess the correct behavior of self-adapt...
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11/07/2022
Towards Extending the Range of Bugs That Automated Program Repair Can Handle
Modern automated program repair (APR) is well-tuned to finding and repai...
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08/28/2022
Assessing the Impact of Execution Environment on Observation-Based Slicing
Program slicing reduces a program to a smaller version that retains a ch...
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08/28/2022
On Evaluating Self-Adaptive and Self-Healing Systems using Chaos Engineering
With the growing adoption of self-adaptive systems in various domains, t...
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02/06/2022
Featherweight Assisted Vulnerability Discovery
Predicting vulnerable source code helps to focus attention on those part...
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11/10/2021
Towards More Reliable Automated Program Repair by Integrating Static Analysis Techniques
A long-standing open challenge for automated program repair is the overf...
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07/19/2021
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Data-driven research on the automated discovery and repair of security v...
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01/07/2021
Adaptive Immunity for Software: Towards Autonomous Self-healing Systems
Testing and code reviews are known techniques to improve the quality and...
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09/07/2020
Improving Problem Identification via Automated Log Clustering using Dimensionality Reduction
Goal: We consider the problem of automatically grouping logs of runs tha...
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08/16/2020