David Lo

Research interests

Publications

• Large Language Models for Software Engineering: A Systematic Literature Review

  ACM Transactions on Software Engineering and Methodology · 2024 · https://doi.org/10.1145/3695988

• Defining Smart Contract Defects on Ethereum

  IEEE Transactions on Software Engineering · 2020 · https://doi.org/10.1109/tse.2020.2989002

• Smart Contract Development: Challenges and Opportunities

  IEEE Transactions on Software Engineering · 2019 · https://doi.org/10.1109/tse.2019.2942301

• DeepJIT: An End-to-End Deep Learning Framework for Just-in-Time Defect Prediction

  Journal · 2019 · https://doi.org/10.1109/msr.2019.00016

• Deep code comment generation with hybrid lexical and syntactical information

  Empirical Software Engineering · 2019 · https://doi.org/10.1007/s10664-019-09730-9

• Deep code comment generation

  Journal · 2018 · https://doi.org/10.1145/3196321.3196334

• Summarizing Source Code with Transferred API Knowledge

  Journal · 2018 · https://doi.org/10.24963/ijcai.2018/314

• Neural-machine-translation-based commit message generation: how far are we?

  Journal · 2018 · https://doi.org/10.1145/3238147.3238190

• S3: syntax- and semantic-guided repair synthesis via programming by examples

  Journal · 2017 · https://doi.org/10.1145/3106237.3106309

• TLEL: A two-layer ensemble learning approach for just-in-time defect prediction

  Information and Software Technology · 2017 · https://doi.org/10.1016/j.infsof.2017.03.007

• Understanding Android App Piggybacking: A Systematic Study of Malicious Code Grafting

  IEEE Transactions on Information Forensics and Security · 2017 · https://doi.org/10.1109/tifs.2017.2656460

• Measuring Program Comprehension: A Large-Scale Field Study with Professionals

  IEEE Transactions on Software Engineering · 2017 · https://doi.org/10.1109/tse.2017.2734091

• What Security Questions Do Developers Ask? A Large-Scale Study of Stack Overflow Posts

  Journal of Computer Science and Technology · 2016 · https://doi.org/10.1007/s11390-016-1672-0

• HYDRA: Massively Compositional Model for Cross-Project Defect Prediction

  IEEE Transactions on Software Engineering · 2016 · https://doi.org/10.1109/tse.2016.2543218

• Practitioners' expectations on automated fault localization

  Journal · 2016 · https://doi.org/10.1145/2931037.2931051

• History Driven Program Repair

  Journal · 2016 · https://doi.org/10.1109/saner.2016.76

• Deep Learning for Just-in-Time Defect Prediction

  Journal · 2015 · https://doi.org/10.1109/qrs.2015.14

• Version history, similar report, and structure: putting them together for improved bug localization

  Journal · 2014 · https://doi.org/10.1145/2597008.2597148

• Network Structure of Social Coding in GitHub

  Journal · 2013 · https://doi.org/10.1109/csmr.2013.41

• Got issues? Who cares about it? A large scale investigation of issue trackers from GitHub

  Journal · 2013 · https://doi.org/10.1109/issre.2013.6698918

• Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports

  Journal · 2012 · https://doi.org/10.1109/icse.2012.6227210

• Where should the bugs be fixed? - more accurate information retrieval-based bug localization based on bug reports

  Journal · 2012 · https://doi.org/10.5555/2337223.2337226

• Duplicate bug report detection with a combination of information retrieval and topic modeling

  Journal · 2012 · https://doi.org/10.1145/2351676.2351687

• Towards more accurate retrieval of duplicate bug reports

  Journal · 2011 · https://doi.org/10.1109/ase.2011.6100061

• A discriminative model approach for accurate duplicate bug report retrieval

  Journal · 2010 · https://doi.org/10.1145/1806799.1806811

Current projects

No projects listed.