Huai Liu

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Senior Lecturer

Swinburne University of Technology

Australia

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About

Huai Liu is a Senior Lecturer at Swinburne University of Technology in Australia. His research primarily focuses on metamorphic testing, software reliability assurance, and machine translation systems. His recent publications include studies on failure-revealing test cases in metamorphic testing and the application of reinforcement learning in partition testing. Liu also explores the intersection of digital twins and renewable energy systems to enhance efficiency and safety.

Recent Grants

Grant: Close

Context-aware verification and validation framework for autonomous driving

Open Date: 2021-01-01

Close Date: 2023-01-01

Grant: Close

Transforming and blending units for software testing: Towards alignment with industry standards

Open Date: 2019-01-01

Close Date: 2019-01-01

Grant: Close

CASS Foundation Travel Award

Open Date: 2014-05-01

Close Date: 2014-06-01

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Collaborators (2)

xi zheng

Macquarie University

AUSTRALIA

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Tsong Chen

Swinburne University of Technology

AUSTRALIA

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Huai Liu

Research Interests

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About

Recent Grants

Articles (23)

Metamorphic Relation Generation: State of the Art and Research Directions

A Reinforcement Learning Based Approach to Partition Testing

Semantic Structure Invariance-Based Metamorphic Testing for Machine Translation Systems

TRALSem: A Robust Model for Textual Sentiment Analysis

Identifying the Failure-Revealing Test Cases in Metamorphic Testing: A Statistical Approach

Metamorphic Fault Tolerance: Addressing the Oracle Problem of Reliability Assurance for Contemporary Software Systems

An Interleaving Guided Metamorphic Testing Approach for Concurrent Programs

Set evolution based test data generation for killing stubborn mutants

Digital Twins for Enhancing Efficiency and Assuring Safety in Renewable Energy Systems: A Systematic Literature Review

A Sequential Metamorphic Testing Framework for Understanding Autonomous Vehicle's Decisions

DFuzzer: Diversity-Driven Seed Queue Construction of Fuzzing for Deep Learning Models

Test Data Generation for Mutation Testing Based on Markov Chain Usage Model and Estimation of Distribution Algorithm

Test Data Generation for Mutation Testing Based on Markov Chain Usage Model and Estimation of Distribution Algorithm

A Declarative Metamorphic Testing Framework for Autonomous Driving

Feedback-Directed Metamorphic Testing

Evaluation and assessment of machine learning based user story grouping: A framework and empirical studies

User Story Clustering in Agile Development: a Framework and an Empirical Study

Enhancement of Mutation Testing via Fuzzy Clustering and Multi-Population Genetic Algorithm

Precise learning of source code contextual semantics via hierarchical dependence structure and graph attention networks

Path-directed source test case generation and prioritization in metamorphic testing

Spectral clustering based mutant reduction for mutation testing

Software debugging analysis based on developer behavior data

Enhancement of Mutation Testing via Fuzzy Clustering and Multi-population Genetic Algorithm

Collaborators (2)

xi zheng

Tsong Chen

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