Copertina

Agile Software Effort Estimation using Regression Techniques

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sima, Sisay Deresa, Habtie, Ayalew Belay
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology
di: Nguyen, Minh Huynh, et al.
Pubblicazione: (2024)

Leveraging AI for Enhanced Software Effort Estimation: A Comprehensive Study and Framework Proposal
di: Tran, Nhi, et al.
Pubblicazione: (2024)

Future of Artificial Intelligence in Agile Software Development
di: Mahboob, Mariyam, et al.
Pubblicazione: (2024)

User Story Tutor (UST) to Support Agile Software Developers
di: Neo, Giseldo da Silva, et al.
Pubblicazione: (2024)

AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary
di: Herda, Tomas, et al.
Pubblicazione: (2025)

AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop
di: Zhang, Zheying, et al.
Pubblicazione: (2025)

Can LLM Generate Regression Tests for Software Commits?
di: Liu, Jing, et al.
Pubblicazione: (2025)

Data Mining-Based Techniques for Software Fault Localization
di: Cellier, Peggy, et al.
Pubblicazione: (2025)

SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation
di: Oliva, Gustavo A., et al.
Pubblicazione: (2025)

Enhancing Analogy-Based Software Effort Estimation with Firefly Algorithm Optimization
di: Chintada, Tarun, et al.
Pubblicazione: (2025)

The AI-Native Large-Scale Agile Software Development Manifesto
di: Britto, Ricardo, et al.
Pubblicazione: (2026)

Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development
di: Koch, Christopher
Pubblicazione: (2026)

Agile Story-Point Estimation: Is RAG a Better Way to Go?
di: Maha, Lamyea, et al.
Pubblicazione: (2026)

Agile Management for Machine Learning: A Systematic Mapping Study
di: Romao, Lucas, et al.
Pubblicazione: (2025)

Software Vulnerability and Functionality Assessment using LLMs
di: Jensen, Rasmus Ingemann Tuffveson, et al.
Pubblicazione: (2024)

BUILD-AND-FIND: An Effort-Aware Protocol for Evaluating Agent-Managed Codebases
di: Lin, Jhen-Ke
Pubblicazione: (2026)

RefEvo: Agentic Design with Co-Evolutionary Verification for Agile Reference Model Generation
di: Zhang, Yifan, et al.
Pubblicazione: (2026)

Software Defect Prediction using Autoencoder Transformer Model
di: Barma, Seshu, et al.
Pubblicazione: (2025)

Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Review
di: Kooy, Stefan Julian, et al.
Pubblicazione: (2025)

Text Tells the Cost: Predicting and Analyzing Repayment Effort of Self-Admitted Technical Debt
di: Li, Yikun, et al.
Pubblicazione: (2023)

The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data
di: Gopali, Saroj, et al.
Pubblicazione: (2024)

Agile Retrospectives: What went well? What didn't go well? What should we do?
di: Spichkova, Maria, et al.
Pubblicazione: (2025)

A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development
di: Geyer, Werner, et al.
Pubblicazione: (2025)

Unified Software Engineering Agent as AI Software Engineer
di: Applis, Leonhard, et al.
Pubblicazione: (2025)

Software Performance Engineering for Foundation Model-Powered Software
di: Zhang, Haoxiang, et al.
Pubblicazione: (2024)

LLMs: A Game-Changer for Software Engineers?
di: Haque, Md Asraful
Pubblicazione: (2024)

ARLO: A Tailorable Approach for Transforming Natural Language Software Requirements into Architecture using LLMs
di: Helmi, Tooraj
Pubblicazione: (2025)

S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
di: Shaik, Kareem, et al.
Pubblicazione: (2024)

A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile
di: Pasuksmit, Jirat, et al.
Pubblicazione: (2024)

Generating Software Architecture Description from Source Code using Reverse Engineering and Large Language Model
di: Hatahet, Ahmad, et al.
Pubblicazione: (2025)

AI-Driven Self-Evolving Software: A Promising Path Toward Software Automation
di: Cai, Liyi, et al.
Pubblicazione: (2025)

Reasoning-Based Software Testing
di: Giamattei, Luca, et al.
Pubblicazione: (2023)

Self-Evolving Software Agents
di: Robol, Marco, et al.
Pubblicazione: (2026)

An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software
di: Gogani-Khiabani, Sina, et al.
Pubblicazione: (2025)

Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature
di: Assalaarachchi, Lakshana Iruni, et al.
Pubblicazione: (2025)

Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey
di: Arora, Lakshit, et al.
Pubblicazione: (2025)

Software Reuse in the Generative AI Era: From Cargo Cult Towards AI Native Software Engineering
di: Mikkonen, Tommi, et al.
Pubblicazione: (2025)

Shift-Up: A Framework for Software Engineering Guardrails in AI-native Software Development -- Initial Findings
di: Lipsanen, Petrus, et al.
Pubblicazione: (2026)

Mining Software Repositories for Expert Recommendation
di: Marshall, Chad, et al.
Pubblicazione: (2025)

Towards Adaptive Software Agents for Debugging
di: Majdoub, Yacine, et al.
Pubblicazione: (2025)