Ge Li

Orcid: 0000-0002-5828-0186

Affiliations:
  • Peking University, Key Laboratory of High Confidence Software Technologies, Bejing, China


According to our database1, Ge Li authored at least 193 papers between 2004 and 2025.

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Bibliography

2025
Large Language Model-Aware In-Context Learning for Code Generation.
ACM Trans. Softw. Eng. Methodol., September, 2025

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization.
CoRR, August, 2025

StackTrans: From Large Language Model to Large Pushdown Automata Model.
CoRR, July, 2025

SCodeSearcher: soft contrastive learning for code search.
Empir. Softw. Eng., June, 2025

Large Language Model Unlearning for Source Code.
CoRR, June, 2025

Computational Thinking Reasoning in Large Language Models.
CoRR, June, 2025

SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning.
CoRR, May, 2025

Rethinking Repetition Problems of LLMs in Code Generation.
CoRR, May, 2025

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation.
CoRR, April, 2025

CodeScore: Evaluating Code Generation by Learning Code Execution.
ACM Trans. Softw. Eng. Methodol., March, 2025

Transformer-based code model with compressed hierarchy representation.
Empir. Softw. Eng., March, 2025

LLMigrate: Transforming "Lazy" Large Language Models into Efficient Source Code Migrators.
CoRR, March, 2025

SEAlign: Alignment Training for Software Engineering Agent.
CoRR, March, 2025

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs.
CoRR, March, 2025

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion.
CoRR, March, 2025

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding.
CoRR, March, 2025

Structured Chain-of-Thought Prompting for Code Generation.
ACM Trans. Softw. Eng. Methodol., February, 2025

FANformer: Improving Large Language Models Through Effective Periodicity Modeling.
CoRR, February, 2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points.
CoRR, February, 2025

SAGA: Summarization-Guided Assert Statement Generation.
J. Comput. Sci. Technol., January, 2025

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing.
CoRR, January, 2025

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Reasoning Runtime Behavior of a Program with LLM: How Far are We?
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2025

UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
AceCoder: An Effective Prompting Technique Specialized in Code Generation.
ACM Trans. Softw. Eng. Methodol., November, 2024

Self-Planning Code Generation with Large Language Models.
ACM Trans. Softw. Eng. Methodol., September, 2024

Self-Collaboration Code Generation via ChatGPT.
ACM Trans. Softw. Eng. Methodol., September, 2024

WELL: Applying bug detectors to bug localization via weakly supervised learning.
J. Softw. Evol. Process., September, 2024

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types.
IEEE Trans. Software Eng., June, 2024

Non-Autoregressive Line-Level Code Completion.
ACM Trans. Softw. Eng. Methodol., June, 2024

Poison Attack and Poison Detection on Deep Source Code Processing Models.
ACM Trans. Softw. Eng. Methodol., March, 2024

CodeBERT-Attack: Adversarial attack against source code deep learning models via pre-trained model.
J. Softw. Evol. Process., March, 2024

Improving domain-specific neural code generation with few-shot meta-learning.
Inf. Softw. Technol., February, 2024

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
Proc. ACM Softw. Eng., 2024

IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion.
Proc. ACM Softw. Eng., 2024

Why language models collapse when trained on recursively generated text.
CoRR, 2024

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation.
CoRR, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.
CoRR, 2024

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion.
CoRR, 2024

Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing.
CoRR, 2024

Generating Equivalent Representations of Code By A Self-Reflection Approach.
CoRR, 2024

Showing LLM-Generated Code Selectively Based on Confidence of LLMs.
CoRR, 2024

FAN: Fourier Analysis Networks.
CoRR, 2024

Python Symbolic Execution with LLM-powered Code Generation.
CoRR, 2024

Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection.
CoRR, 2024

M2CVD: Multi-Model Collaboration for Code Vulnerability Detection.
CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR, 2024

LLM-Powered Test Case Generation for Detecting Tricky Bugs.
CoRR, 2024

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments.
CoRR, 2024

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR, 2024

HiRoPE: Length Extrapolation for Code Models.
CoRR, 2024

Evaluating Large Language Models with Runtime Behavior of Program Execution.
CoRR, 2024

SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation.
CoRR, 2024

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.
CoRR, 2024

Deep learning for code generation: a survey.
Sci. China Inf. Sci., 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

HITS: High-coverage LLM-based Unit Test Generation via Method Slicing.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Knowledge-Aware Code Generation with Large Language Models.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

KareCoder: A New Knowledge-Enriched Code Generation System.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CodeEditor: Learning to Edit Source Code with Pre-trained Models.
ACM Trans. Softw. Eng. Methodol., November, 2023

TACO: Topics in Algorithmic COde generation dataset.
CoRR, 2023

ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation.
CoRR, 2023

Large Language Model-Aware In-Context Learning for Code Generation.
CoRR, 2023

Improving Code Generation by Dynamic Temperature Sampling.
CoRR, 2023

STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing.
CoRR, 2023

ZC3: Zero-Shot Cross-Language Code Clone Detection.
CoRR, 2023

Automated Static Warning Identification via Path-based Semantic Representation.
CoRR, 2023

WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning.
CoRR, 2023

SAGA: Summarization-Guided Assert Statement Generation.
CoRR, 2023

Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism.
CoRR, 2023

Enabling Programming Thinking in Large Language Models Toward Code Generation.
CoRR, 2023

ToolCoder: Teach Code Generation Models to use API search tools.
CoRR, 2023

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation.
CoRR, 2023

Towards Enhancing In-Context Learning for Code Generation.
CoRR, 2023

Self-planning Code Generation with Large Language Model.
CoRR, 2023

Deep Learning Based Code Generation Methods: A Literature Review.
CoRR, 2023

Learning Program Representations with a Tree-Structured Transformer.
Proceedings of the IEEE International Conference on Software Analysis, 2023

ZC<sup>3</sup>: Zero-Shot Cross-Language Code Clone Detection.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Implant Global and Local Hierarchy Information to Sequence based Code Representation Models.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

MCodeSearcher: Multi-View Contrastive Learning for Code Search.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

SkCoder: A Sketch-based Approach for Automatic Code Generation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Self-Edit: Fault-Aware Code Editor for Code Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Deep Learning Based Program Generation From Requirements Text: Are We There Yet?
IEEE Trans. Software Eng., 2022

Towards Robustness of Deep Program Processing Models - Detection, Estimation, and Enhancement.
ACM Trans. Softw. Eng. Methodol., 2022

Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning.
ACM Trans. Softw. Eng. Methodol., 2022

Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks.
J. Syst. Softw., 2022

Preface.
J. Comput. Sci. Technol., 2022

A unified multi-task learning model for AST-level and token-level code completion.
Empir. Softw. Eng., 2022

Poison Attack and Defense on Deep Source Code Processing Models.
CoRR, 2022

Antecedent Predictions Are Dominant for Tree-Based Code Generation.
CoRR, 2022

A Tree-structured Transformer for Program Representation Learning.
CoRR, 2022

What does Transformer learn about source code?
CoRR, 2022

AixBench: A Code Generation Benchmark Dataset.
CoRR, 2022

Non-autoregressive Model for Full-line Code Completion.
CoRR, 2022

Incorporating domain knowledge through task augmentation for front-end JavaScript code generation.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Are we building on the rock? on the importance of data preprocessing for code summarization.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to represent programs with heterogeneous graphs.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Learning to Recommend Method Names with Global Context.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Rethinking Positional Encoding in Tree Transformer for Code Representation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
DeepDir: a deep learning approach for API directive detection.
Sci. China Inf. Sci., 2021

Integrating Tree Path in Transformer for Code Representation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020
Modular Tree Network for Source Code Representation Learning.
ACM Trans. Softw. Eng. Methodol., 2020

Deep code comment generation with hybrid lexical and syntactical information.
Empir. Softw. Eng., 2020

Learning to Represent Programs with Heterogeneous Graphs.
CoRR, 2020

Towards Full-line Code Completion with Neural Language Models.
CoRR, 2020

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree.
CoRR, 2020

LSTM-based argument recommendation for non-API methods.
Sci. China Inf. Sci., 2020

Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree.
Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Retrieve and Refine: Exemplar-based Neural Comment Generation.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Multi-task Learning based Pre-trained Language Model for Code Completion.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

NLocalSAT: Boosting Local Search with Solution Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Generating Adversarial Examples for Holding Robustness of Source Code Processing Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Code Generation as a Dual Task of Code Summarization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural detection of semantic code clones via tree-based convolution.
Proceedings of the 27th International Conference on Program Comprehension, 2019

Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

A Grammar-Based Structural CNN Decoder for Code Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Preface.
J. Comput. Sci. Technol., 2018

Deep Learning in Software Engineering.
CoRR, 2018

Unsupervised deep bug report summarization.
Proceedings of the 26th Conference on Program Comprehension, 2018

Deep code comment generation.
Proceedings of the 26th Conference on Program Comprehension, 2018

Summarizing Source Code with Transferred API Knowledge.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Learning to Infer API Mappings from API Documents.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Improved Knowledge Base Completion by the Path-Augmented TransR Model.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations.
Proceedings of the Knowledge Science, Engineering and Management, 2017

2016
Lightweight semantic service modelling for IoT: an environment-based approach.
Int. J. Embed. Syst., 2016

Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Learning Embeddings of API Tokens to Facilitate Deep Learning Based Program Processing.
Proceedings of the Knowledge Science, Engineering and Management, 2016

How Transferable are Neural Networks in NLP Applications?
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Improved relation classification by deep recurrent neural networks with data augmentation.
Proceedings of the COLING 2016, 2016

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation.
Proceedings of the COLING 2016, 2016

Distilling Word Embeddings: An Encoding Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Natural Language Inference by Tree-Based Convolution and Heuristic Matching.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Compressing Neural Language Models by Sparse Word Representations.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Convolutional Neural Networks over Tree Structures for Programming Language Processing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path.
CoRR, 2015

Backbone Language Modeling for Constrained Natural Language Generation.
CoRR, 2015

Tree-based Convolution: A New Neural Architecture for Sentence Modeling.
CoRR, 2015

On End-to-End Program Generation from User Intention by Deep Neural Networks.
CoRR, 2015

Recognizing Entailment and Contradiction by Tree-based Convolution.
CoRR, 2015

Distilling Word Embeddings: An Encoding Approach.
CoRR, 2015

Building Program Vector Representations for Deep Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Comparative Study on Regularization Strategies for Embedding-based Neural Networks.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Discriminative Neural Sentence Modeling by Tree-Based Convolution.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Learning Non-Taxonomic Relations on Demand for Ontology Extension.
Int. J. Softw. Eng. Knowl. Eng., 2014

Building Program Vector Representations for Deep Learning.
CoRR, 2014

TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing.
CoRR, 2014

Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery.
Proceedings of the Knowledge Science, Engineering and Management, 2014

2013
A Knowware Based Infrastructure for Rule Based Control Systems in Smart Spaces.
Proceedings of the Safe and Secure Software Reuse, 2013

MCT: a tool for commenting programs by multimedia comments.
Proceedings of the 35th International Conference on Software Engineering, 2013

Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

2012
Modeling and Analyzing the Reliability and Cost of Service Composition in the IoT: A Probabilistic Approach.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching.
Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012

2011
A process algebra for environment-based specification of web services.
Proceedings of the IEEE 6th International Symposium on Service Oriented System Engineering, 2011

An Ontology based Method for Building Understandable Hierarchical Classification Structure for Software Assets Browsing.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

An Engineerable Ontology Based Approach for Requirements Elicitation in Process Centered Problem Domain.
Proceedings of the Knowledge Science, Engineering and Management, 2011

APIExample: An effective web search based usage example recommendation system for java APIs.
Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011

2010
Enriching Descriptions for Public Web Services Using Information Captured from Related Web Pages on the Internet.
Proceedings of the Fifth IEEE International Symposium on Service-Oriented System Engineering, 2010

Assisting Developers to Read Code Help-Documents Efficiently through Discovering Document-section Relationships.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

2009
Assisting Trustworthiness Based Web Services Selection Using the Fidelity of Websites.
Proceedings of the Service-Oriented Computing, 7th International Joint Conference, 2009

2008
Recommending Typical Usage Examples for Component Retrieval in Reuse Repositories.
Proceedings of the High Confidence Software Reuse in Large Systems, 2008

2007
Ontology Based Classification Generating Method for Browsing-Based Component Retrieval.
Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007

Scheduling of conflicting refactorings to promote quality improvement.
Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), 2007

An Exploratory Study of Web Services on the Internet.
Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007

A metamodel for the notation of graphical modeling languages.
Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007

Rectifying Prejudicial Feedback Ratings in Reputation based Trust Management.
Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007

2006
Shortening retrieval sequences in browsing-based component retrieval using information entropy.
J. Syst. Softw., 2006

2004
Attribute Ranking: An Entropy-Based Approach to Accelerating Browsing-Based Component Retrieval.
Proceedings of the Software Reuse: Methods, 2004


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