Cover Image

Leveraging AI for Enhanced Software Effort Estimation: A Comprehensive Study and Framework Proposal

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tran, Nhi, Tran, Tan, Nguyen, Nam
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Agile Software Effort Estimation using Regression Techniques
by: Sima, Sisay Deresa, et al.
Published: (2025)

Verify-Gated Completion as Admission Control in a Governed Multi-Agent Runtime: A Bounded Architecture Case Study
by: Nguyen, Hai-Duong, et al.
Published: (2026)

A Gray Literature Study on Fairness Requirements in AI-enabled Software Engineering
by: Nguyen, Thanh, et al.
Published: (2025)

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

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

A Defect Classification Framework for AI-Based Software Systems (AI-ODC)
by: Alannsary, Mohammed O.
Published: (2025)

Do AI Models Dream of Faster Code? An Empirical Study on LLM-Proposed Performance Improvements in Real-World Software
by: Yi, Lirong, et al.
Published: (2025)

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

Enhancing AI-based Generation of Software Exploits with Contextual Information
by: Liguori, Pietro, et al.
Published: (2024)

Orchestrating Human-AI Software Delivery: A Retrospective Longitudinal Field Study of Three Software Modernization Programs
by: Armesto, Maximiliano, et al.
Published: (2026)

Expectations vs Reality -- A Secondary Study on AI Adoption in Software Testing
by: Karhu, Katja, et al.
Published: (2025)

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

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study
by: Chand, Sivajeet, et al.
Published: (2026)

New Interaction Paradigm for Complex EDA Software Leveraging GPT
by: Wang, Xinyu, et al.
Published: (2023)

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

AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation
by: Khanzadeh, Sourena
Published: (2025)

The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents
by: Wang, Xingyao, et al.
Published: (2025)

MEMRES: A Memory-Augmented Resolver with Confidence Cascade for Agentic Python Dependency Resolution
by: Minh, Dao Sy Duy, et al.
Published: (2026)

Towards Comprehensive Benchmarking Infrastructure for LLMs In Software Engineering
by: Rodriguez-Cardenas, Daniel, et al.
Published: (2026)

Lifecycle-Aware code generation: Leveraging Software Engineering Phases in LLMs
by: Xing, Xing, et al.
Published: (2025)

Reversa: A Reverse Documentation Engineering Framework for Converting Legacy Software into Operational Specifications for AI Agents
by: de Macedo, Sanderson Oliveira, et al.
Published: (2026)

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

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

Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing
by: Dhruv, Akash, et al.
Published: (2024)

Early-Stage Product Line Validation Using LLMs: A Study on Semi-Formal Blueprint Analysis
by: Le, Viet-Man, et al.
Published: (2026)

From Horizontal Layering to Vertical Integration: A Comparative Study of the AI-Driven Software Development Paradigm
by: Zhang, Chi, et al.
Published: (2026)

AI-Tutoring in Software Engineering Education
by: Frankford, Eduard, et al.
Published: (2024)

What Software Engineering Looks Like to AI Agents? -- An Empirical Study of AI-Only Technical Discourse on MoltBook
by: Huo, Junyu, et al.
Published: (2026)

AI Assurance: A Comprehensive Testing Strategy for Enterprise AI Systems
by: Badagi, Chitra, et al.
Published: (2026)

Leveraging LLMs for User Stories in AI Systems: UStAI Dataset
by: Yamani, Asma, et al.
Published: (2025)

Generative AI and Empirical Software Engineering: A Paradigm Shift
by: Treude, Christoph, et al.
Published: (2025)

Agentic AI Software Engineers: Programming with Trust
by: Roychoudhury, Abhik, et al.
Published: (2025)

ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
by: Nam, Doha, et al.
Published: (2025)

Echoes of AI: Investigating the Downstream Effects of AI Assistants on Software Maintainability
by: Borg, Markus, et al.
Published: (2025)

Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science
by: Bethel, E. Wes, et al.
Published: (2024)

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

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

SEER: Sustainability Enhanced Engineering of Software Requirements
by: Roy, Mandira, et al.
Published: (2025)

Enhancing Formal Software Specification with Artificial Intelligence
by: Nassar, Antonio Abu, et al.
Published: (2026)

Future of Code with Generative AI: Transparency and Safety in the Era of AI Generated Software
by: Hanson, David
Published: (2025)