Chakkrit Tantithamthavorn

MONASH UNIVERSITY

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Articles (29)

Collaborators (13)

Christoph Bergmeir

Universidad de Granada

Dinh Phung

MONASH UNIVERSITY

Aldeida Aleti

Senior Lecturer

MONASH UNIVERSITY

Wray Buntine

MONASH UNIVERSITY

John Grundy

MONASH UNIVERSITY

Burak Turhan

University of Oulu

Michael Fu

University of Melbourne

Li Li

Senior Lecturer/Lecturer

MONASH UNIVERSITY

Trung Le

MONASH UNIVERSITY

KENICHI MATSUMOTO

Nara Institute of Science and Technology

Rashina Hoda

Associate Professor in Software Engineering

MONASH UNIVERSITY

Hideaki Hata

Associate Professor

Shinshu University

Hoa Khanh Dam

University of Wollongong

Chakkrit Tantithamthavorn

Research Interests

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Contact this professor

Articles (29)

What Do AI/ML Practitioners Think About AI/ML Bias?

RAGVA: Engineering retrieval augmented generation-based virtual assistants in practice

AI for DevSecOps: A Landscape and Future Opportunities

DAViT: A Domain-Adapted Vision Transformer for Automated Pneumonia Detection and Explanation Using Chest X-Ray Images

DeepVulMatch: Learning and Matching Latent Vulnerability Representations for Dual-Granularity Vulnerability Detection

Enhancing large language models for text-to-testcase generation

Requirements-Driven Automated Software Testing: A Systematic Review

Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey

Pytester: Deep reinforcement learning for text-to-testcase generation

MLOps, LLMOps, FMOps, and Beyond

Ethics in the Age of AI: An Analysis of AI Practitioners’ Awareness and Challenges

Automatically Recommend Code Updates: Are We There Yet?

On the Reliability and Explainability of Language Models for Program Generation

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues

A Formal Explainer for Just-In-Time Defect Predictions

Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection

Vision Transformer Inspired Automated Vulnerability Repair

AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities

Deep Learning for Android Malware Defenses: A Systematic Literature Review

Augmented Agile: Human-Centered AI-Assisted Software Management

Expert Perspectives on Explainability

Explainable AI for SE: Challenges and Future Directions

GPT2SP: A Transformer-Based Agile Story Point Estimation Approach

DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction

VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types

SQAPlanner: Generating Data-Informed Software Quality Improvement Plans

The Impact of Data Merging on the Interpretation of Cross-Project Just-In-Time Defect Models

Predicting Defective Lines Using a Model-Agnostic Technique

An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models

Collaborators (13)

Christoph Bergmeir

Dinh Phung

Aldeida Aleti

Wray Buntine

John Grundy

Burak Turhan

Michael Fu

Li Li

Trung Le

KENICHI MATSUMOTO

Rashina Hoda

Hideaki Hata

Hoa Khanh Dam

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