:: Library Catalog

Ata uhi

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Zhu, Ruofan, Wang, Xingyu, Liu, Chengwei, Xu, Zhengzi, Shen, Wenbo, Chang, Rui, Liu, Yang
Hōputu:	Preprint
I whakaputaina:	2024
Ngā marau:	Software Engineering 65-04 D.2; K.6.3
Urunga tuihono:	https://arxiv.org/abs/2401.02090
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

Towards an Incident Management Framework in Proprietary Software Ecosystems
mā: Costa, L. A., me ētahi atu.
I whakaputaina: (2024)

Understanding the Effectiveness of LLMs in Automated Self-Admitted Technical Debt Repayment
mā: Sheikhaei, Mohammad Sadegh, me ētahi atu.
I whakaputaina: (2025)

Generating Highly Structured Test Inputs Leveraging Constraint-Guided Graph Refinement
mā: Yang, Zhaorui, me ētahi atu.
I whakaputaina: (2025)

Invisible Labor in Open Source Software Ecosystems
mā: Meluso, John, me ētahi atu.
I whakaputaina: (2024)

Incidents During Microservice Decomposition: A Case Study
mā: Eldenk, Doğaç, me ētahi atu.
I whakaputaina: (2025)

A Never-Ending Story: Revisiting Requirements Major Misunderstandings
mā: Leite, Julio Cesar
I whakaputaina: (2025)

Detecção de Conflitos Semânticos com Testes Gerados por LLM
mā: Barbosa, Nathalia, me ētahi atu.
I whakaputaina: (2025)

Small is Beautiful: A Practical and Efficient Log Parsing Framework
mā: Wang, Minxing, me ētahi atu.
I whakaputaina: (2026)

TrajAudit: Automated Failure Diagnosis for Agentic Coding Systems
mā: Wang, Minxing, me ētahi atu.
I whakaputaina: (2026)

EpiDroid: Dependency-Guided Recomposition for Deep State Discovery in Mobile GUI Testing
mā: Song, Jiahui, me ētahi atu.
I whakaputaina: (2026)

Integrating DAST in Kanban and CI/CD: A Real World Security Case Study
mā: Thool, Arpit, me ētahi atu.
I whakaputaina: (2025)

Beyond the Tip of the Iceberg: Understanding SATD in Dockerfiles through the Lens of Co-evolution
mā: Minn, Wei, me ētahi atu.
I whakaputaina: (2026)

Challenges in Understanding the Relationship between Teamwork Quality and Project Success in Large-Scale Agile Projects
mā: Dingsøyr, Torgeir, me ētahi atu.
I whakaputaina: (2024)

Automated Detection of Algorithm Debt in Deep Learning Frameworks: An Empirical Study
mā: Simon, Emmanuel Iko-Ojo, me ētahi atu.
I whakaputaina: (2024)

AI Observability for Developer Productivity Tools: Bridging Cost Awareness and Code Quality
mā: Bhati, Happy, me ētahi atu.
I whakaputaina: (2026)

Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions
mā: Das, Satyaki, me ētahi atu.
I whakaputaina: (2025)

Cantera-Based Python Computer Program for Solving Steam Power Cycles with Superheating
mā: Marzouk, Osama A.
I whakaputaina: (2024)

IXAII: An Interactive Explainable Artificial Intelligence Interface for Decision Support Systems
mā: Speckmann, Pauline, me ētahi atu.
I whakaputaina: (2025)

RSMM: A Framework to Assess Maturity of Research Software Project
mā: Deekshitha, me ētahi atu.
I whakaputaina: (2024)

Structural and Connectivity Patterns in the Maven Central Software Dependency Network
mā: Ogenrwot, Daniel, me ētahi atu.
I whakaputaina: (2025)

Design and Evaluation of a Scalable Data Pipeline for AI-Driven Air Quality Monitoring in Low-Resource Settings
mā: Sserujongi, Richard, me ētahi atu.
I whakaputaina: (2025)

FAIRSECO: An Extensible Framework for Impact Measurement of Research Software
mā: Deekshitha, me ētahi atu.
I whakaputaina: (2024)

EMRGF: A Practitioner Framework for Governance-Driven Enterprise Technology Modernization
mā: Punihani, Harveen
I whakaputaina: (2026)

Docker-based CI/CD for Rocq/OCaml projects
mā: Martin-Dorel, Érik
I whakaputaina: (2025)

PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes
mā: Ogenrwot, Daniel, me ētahi atu.
I whakaputaina: (2025)

Empirical Investigation of the Relationship Between Design Smells and Role Stereotypes
mā: Ogenrwot, Daniel, me ētahi atu.
I whakaputaina: (2024)

Empowering Agile-Based Generative Software Development through Human-AI Teamwork
mā: Zhang, Sai, me ētahi atu.
I whakaputaina: (2024)

Refactoring-Aware Patch Integration Across Structurally Divergent Java Forks
mā: Ogenrwot, Daniel, me ētahi atu.
I whakaputaina: (2025)

Coding With AI: From a Reflection on Industrial Practices to Future Computer Science and Software Engineering Education
mā: Chang, Hung-Fu, me ētahi atu.
I whakaputaina: (2025)

SemLoc: Structured Grounding of Free-Form LLM Reasoning for Fault Localization
mā: Yang, Zhaorui, me ētahi atu.
I whakaputaina: (2026)

Virtualization-based Penetration Testing Study for Detecting Accessibility Abuse Vulnerabilities in Banking Apps in East and Southeast Asia
mā: Minn, Wei, me ētahi atu.
I whakaputaina: (2026)

Dynamics of Gender Bias in Software Engineering
mā: Misa, Thomas J.
I whakaputaina: (2025)

Towards Large Language Model Aided Program Refinement
mā: Cai, Yufan, me ētahi atu.
I whakaputaina: (2024)

Same Same But Different: Preventing Refactoring Attacks on Software Plagiarism Detection
mā: Maisch, Robin, me ētahi atu.
I whakaputaina: (2025)

AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
mā: Ogenrwot, Daniel, me ētahi atu.
I whakaputaina: (2026)

Toward Cybersecurity Testing and Monitoring of IoT Ecosystems
mā: Taylor, Steve, me ētahi atu.
I whakaputaina: (2025)

Streamlining Security Vulnerability Triage with Large Language Models
mā: Torkamani, Mohammad Jalili, me ētahi atu.
I whakaputaina: (2025)

How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests
mā: Ogenrwot, Daniel, me ētahi atu.
I whakaputaina: (2026)

Augmenting software engineering with AI and developing it further towards AI-assisted model-driven software engineering
mā: Schieferdecker, Ina K.
I whakaputaina: (2024)

Automating the Detection of Code Vulnerabilities by Analyzing GitHub Issues
mā: Cipollone, Daniele, me ētahi atu.
I whakaputaina: (2025)