Cover Image

DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Morello, Gabriele, Eshghie, Mojtaba, Bobadilla, Sofia, Monperrus, Martin
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset
by: Islam, Mohammad Saiful, et al.
Published: (2024)

Smart Contracts for SMEs and Large Companies
by: Liu, C. G., et al.
Published: (2025)

Supporting Long-term Transactions in Smart Contracts Generated from Business Process Model and Notation (BPMN) Models
by: Liu, Christian Gang
Published: (2025)

Causal AI-based Root Cause Identification: Research to Practice at Scale
by: Jha, Saurabh, et al.
Published: (2025)

OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
by: Chen, Le, et al.
Published: (2024)

A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler
by: Tirichine, Mohammed, et al.
Published: (2024)

DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge
by: May, Daniel, et al.
Published: (2024)

Enhancing Model Context Protocol (MCP) with Context-Aware Server Collaboration
by: Jayanti, Meenakshi Amulya, et al.
Published: (2026)

HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages
by: Chaturvedi, Aman, et al.
Published: (2024)

FC-ADL: Efficient Microservice Anomaly Detection and Localisation Through Functional Connectivity
by: Winchester, Giles, et al.
Published: (2025)

Federated Learning With L0 Constraint Via Probabilistic Gates For Sparsity
by: Huthasana, Krishna Harsha Kovelakuntla, et al.
Published: (2025)

MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing
by: Rahman, Asif, et al.
Published: (2025)

Root Cause Analysis for Microservice Systems via Cascaded Conditional Learning with Hypergraphs
by: Xie, Shuaiyu, et al.
Published: (2025)

UPC Sentinel: An Accurate Approach for Detecting Upgradeability Proxy Contracts in Ethereum
by: Ebrahimi, Amir M., et al.
Published: (2024)

Versioned Analysis of Software Quality Indicators and Self-admitted Technical Debt in Ethereum Smart Contracts with Ethstractor
by: Hassan, Khalid, et al.
Published: (2024)

MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation
by: Wen, Zhongzhen, et al.
Published: (2025)

A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computing
by: Singh, Samaresh Kumar, et al.
Published: (2026)

Rethinking Performance Analysis for Configurable Software Systems: A Case Study from a Fitness Landscape Perspective
by: Huang, Mingyu, et al.
Published: (2024)

CLAID: Closing the Loop on AI & Data Collection -- A Cross-Platform Transparent Computing Middleware Framework for Smart Edge-Cloud and Digital Biomarker Applications
by: Langer, Patrick, et al.
Published: (2023)

Where Should I Deploy My Contracts? A Practical Experience Report
by: Lazăr, Cătălina, et al.
Published: (2025)

AscendCraft: Automatic Ascend NPU Kernel Generation via DSL-Guided Transcompilation
by: Wen, Zhongzhen, et al.
Published: (2026)

A Large-Scale Exploratory Study on the Proxy Pattern in Ethereum
by: Ebrahimi, Amir M., et al.
Published: (2025)

Blink: CPU-Free LLM Inference by Delegating the Serving Stack to GPU and SmartNIC
by: Siavashi, Mohammad, et al.
Published: (2026)

ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks
by: Henning, Sören, et al.
Published: (2024)

Do Large Language Models Understand Performance Optimization?
by: Cui, Bowen, et al.
Published: (2025)

GitFarm: Git as a Service for Large-Scale Monorepos
by: Dwivedi, Preetam, et al.
Published: (2026)

MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era
by: Zhang, Lei, et al.
Published: (2026)

CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems
by: Sohana, Sarah, et al.
Published: (2024)

AlertGuardian: Intelligent Alert Life-Cycle Management for Large-scale Cloud Systems
by: Yu, Guangba, et al.
Published: (2026)

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis
by: Jiang, Zhihan, et al.
Published: (2025)

$μ$OpTime: Statically Reducing the Execution Time of Microbenchmark Suites Using Stability Metrics
by: Japke, Nils, et al.
Published: (2025)

STaleX: A Spatiotemporal-Aware Adaptive Auto-scaling Framework for Microservices
by: Dashtbani, Majid, et al.
Published: (2025)

Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency
by: Sliwko, Leszek
Published: (2025)

Self-Organizing Interaction Spaces: A Framework for Engineering Pervasive Applications in Mobile and Distributed Environments
by: Malhotra, Shubham
Published: (2025)

Feature Noise Resilient for QoS Prediction with Probabilistic Deep Supervision
by: Wang, Ziliang, et al.
Published: (2023)

ALPACA -- Adaptive Learning Pipeline for Comprehensive AI
by: Torka, Simon, et al.
Published: (2024)

LADs: Leveraging LLMs for AI-Driven DevOps
by: Khan, Ahmad Faraz, et al.
Published: (2025)

Action Engine: Automatic Workflow Generation in FaaS
by: Esashi, Akiharu, et al.
Published: (2024)

Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
by: Sliwko, Leszek, et al.
Published: (2026)

From Legacy Fortran to Portable Kokkos: An Autonomous Agentic AI Workflow
by: Gupta, Sparsh, et al.
Published: (2025)