I tiakina i:
| Kaituhi matua: | Anonymous, Anonymous |
|---|---|
| Hōputu: | Recurso digital |
| Reo: | |
| I whakaputaina: |
Zenodo
2026
|
| Urunga tuihono: | https://doi.org/10.5281/zenodo.19776380 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Ngā tūemi rite
Longitudinal Analyses of SAST Tools: A CodeQL Case Study
mā: Ferrand, Jean-Charles Noirot, me ētahi atu.
I whakaputaina: (2026)
mā: Ferrand, Jean-Charles Noirot, me ētahi atu.
I whakaputaina: (2026)
Scalable Thread-Safety Analysis of Java Classes with CodeQL
mā: Jåtten, Bjørnar Haugstad, me ētahi atu.
I whakaputaina: (2025)
mā: Jåtten, Bjørnar Haugstad, me ētahi atu.
I whakaputaina: (2025)
Replication kit of: On the Energy Cost of Static Analysis Precision An Empirical Study of SpotBugs Effort Levels
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper) -- Extended Report
mā: Shen, Mingjie, me ētahi atu.
I whakaputaina: (2023)
mā: Shen, Mingjie, me ētahi atu.
I whakaputaina: (2023)
Combining Large Language Models for High-quality, Cost-efficient Conservative Reassessments of Static Security Findings
mā: Anonymous, Anonymous
I whakaputaina: (2026)
mā: Anonymous, Anonymous
I whakaputaina: (2026)
Does Good Design Prevent Code Clones? An Exploratory Study on SOLID Principles in Java Systems
mā: Anonymous, Anonymous
I whakaputaina: (2025)
mā: Anonymous, Anonymous
I whakaputaina: (2025)
Supplementary data for Perspectives, Needs and Challenges for Sustainable Software Engineering Teams: A FinServ Case Study
mā: Anonymous, Anonymous
I whakaputaina: (2025)
mā: Anonymous, Anonymous
I whakaputaina: (2025)
Identify Vulnerable Code in Running Binaries
mā: Anonymous, Anonymous
I whakaputaina: (2026)
mā: Anonymous, Anonymous
I whakaputaina: (2026)
A Dual Case Study Evaluation of LINDDUN (Supporting Materials)
mā: Anonymous
I whakaputaina: (2025)
mā: Anonymous
I whakaputaina: (2025)
Dataset and Tools
mā: Anonymous
I whakaputaina: (2025)
mā: Anonymous
I whakaputaina: (2025)
Replication Package for "Green AI: Cost of LLM-based Code Completion"
mā: Anonymous, Anonymous
I whakaputaina: (2026)
mā: Anonymous, Anonymous
I whakaputaina: (2026)
Connecting Generations Through Code: GABI, A Community-Driven Framework for Engineering Inclusive Financial Software for the Elderly
mā: Anonymous, Anonymous
I whakaputaina: (2025)
mā: Anonymous, Anonymous
I whakaputaina: (2025)
Code for Anonymous Submission
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
Automated Channel Fault Analysis
mā: Anonymous, Anonymous
I whakaputaina: (2026)
mā: Anonymous, Anonymous
I whakaputaina: (2026)
Code and Data for Submission #462
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
The Dataset and Code of GraphFormer
mā: Anonymous
I whakaputaina: (2025)
mā: Anonymous
I whakaputaina: (2025)
Supplementary Code for submission to JAG
mā: Anonymous
I whakaputaina: (2025)
mā: Anonymous
I whakaputaina: (2025)
[Tool Demo] Leveraging LLMs to Judge Student-Authored Software Requirements and User Stories
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
Development and Validation of a Workplace Well-Being Assessment Tool for Workers with Intellectual Disabilities
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
AgentBelt: Runtime Guardrails for LLM Agent Tool Calls — ASE 2026 Artifact
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
Dataset associated with paper "Studying the Generalization Abilities of Graph Neural Networks for Combinatorial Optimization: A Case Study on the Staff Scheduling Problem"
mā: Anonymous Authors
I whakaputaina: (2026)
mā: Anonymous Authors
I whakaputaina: (2026)
LLMs are Imperfect, Then What? An Empirical Study on LLM Failures in Software Engineering
mā: Anonymous, Anonymous
I whakaputaina: (2024)
mā: Anonymous, Anonymous
I whakaputaina: (2024)
LLMs are Imperfect, Then What? An Empirical Study on LLM Failures in Software Engineering
mā: Anonymous, Anonymous
I whakaputaina: (2024)
mā: Anonymous, Anonymous
I whakaputaina: (2024)
LLMs are Imperfect, Then What? An Empirical Study on LLM Failures in Software Engineering
mā: Anonymous, Anonymous
I whakaputaina: (2025)
mā: Anonymous, Anonymous
I whakaputaina: (2025)
RES Code
mā: Anonymous, Author
I whakaputaina: (2025)
mā: Anonymous, Author
I whakaputaina: (2025)
RES Code
mā: Anonymous, Author
I whakaputaina: (2025)
mā: Anonymous, Author
I whakaputaina: (2025)
Replication package for A Unified Cross-Language Intermediate Representation for Infrastructure-as-Code Smell Detection
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
Replication package for A Unified Cross-Language Intermediate Representation for Infrastructure-as-Code Smell Detection
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
Exploring Generative AI Tools for Software Quality: Insights from a Rapid Multivocal Literature Review
mā: Anonymous
I whakaputaina: (2025)
mā: Anonymous
I whakaputaina: (2025)
Artifacts for Codlis: A Multi-Agent Framework for Interactive Source Code Visualization via Knowledge Graphs
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
Incorporating convergent enzyme thermal evolution into species distribution models unveils future global marine fish distribution under climate change
mā: Anonymous, Anonymous, me ētahi atu.
I whakaputaina: (2025)
mā: Anonymous, Anonymous, me ētahi atu.
I whakaputaina: (2025)
Detecting and Reacting to Data-Drift in Streaming Optimisation Domains - Code and Data
mā: Anonymous
I whakaputaina: (2024)
mā: Anonymous
I whakaputaina: (2024)
GGAgent: Green Coding Agent via Multi-Objective Configuration Optimization
mā: Anonymous
I whakaputaina: (2025)
mā: Anonymous
I whakaputaina: (2025)
Code Repository for: Symbolic regression for empirically realistic population dynamic time series
mā: Anonymous
I whakaputaina: (2026)
mā: Anonymous
I whakaputaina: (2026)
When Faster Isn't Greener: The Hidden Costs of LLM-Based Code Optimization - Replication Package
mā: Anonymous
I whakaputaina: (2025)
mā: Anonymous
I whakaputaina: (2025)
An Empirical Study of Static Analysis Tools for Secure Code Review
mā: Charoenwet, Wachiraphan, me ētahi atu.
I whakaputaina: (2024)
mā: Charoenwet, Wachiraphan, me ētahi atu.
I whakaputaina: (2024)
Code and data for the paper: Connectivity or coverage? The effectiveness of urban green-blue spaces in mitigating global heat exposure
mā: Anonymous
I whakaputaina: (2025)
mā: Anonymous
I whakaputaina: (2025)
Code to reproduce results for "Robust Real-Time Detection of Right Whale Upcalls Using Neural Networks on the Edge"
mā: Anonymous
I whakaputaina: (2024)
mā: Anonymous
I whakaputaina: (2024)
Beyond Confidence: Rethinking Uncertainty Calibration in Deep Code Models
mā: Anonymous Authors
I whakaputaina: (2026)
mā: Anonymous Authors
I whakaputaina: (2026)
ExpML Source Code and Small-Scale Evaluation Transcription
mā: Anonymous Authors
I whakaputaina: (2025)
mā: Anonymous Authors
I whakaputaina: (2025)
Ngā tūemi rite
-
Longitudinal Analyses of SAST Tools: A CodeQL Case Study
mā: Ferrand, Jean-Charles Noirot, me ētahi atu.
I whakaputaina: (2026) -
Scalable Thread-Safety Analysis of Java Classes with CodeQL
mā: Jåtten, Bjørnar Haugstad, me ētahi atu.
I whakaputaina: (2025) -
Replication kit of: On the Energy Cost of Static Analysis Precision An Empirical Study of SpotBugs Effort Levels
mā: Anonymous
I whakaputaina: (2026) -
Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper) -- Extended Report
mā: Shen, Mingjie, me ētahi atu.
I whakaputaina: (2023) -
Combining Large Language Models for High-quality, Cost-efficient Conservative Reassessments of Static Security Findings
mā: Anonymous, Anonymous
I whakaputaina: (2026)