| Accessibility in Software Practice: A Practitioner’s Perspective | 0 | 0.34 | 2022 |
| Just-In-Time Defect Identification and Localization: A Two-Phase Framework | 2 | 0.36 | 2022 |
| A Universal Data Augmentation Approach for Fault Localization | 0 | 0.34 | 2022 |
| ShellFusion: Answer Generation for Shell Program ming Tasks via Knowledge Fusion | 0 | 0.34 | 2022 |
| Automating App Review Response Generation Based on Contextual Knowledge | 0 | 0.34 | 2022 |
| A unified multi-task learning model for AST-level and token-level code completion | 0 | 0.34 | 2022 |
| An exploratory study on the repeatedly shared external links on Stack Overflow | 0 | 0.34 | 2022 |
| On the Reproducibility and Replicability of Deep Learning in Software Engineering | 0 | 0.34 | 2022 |
| Are we building on the rock? on the importance of data preprocessing for code summarization. | 0 | 0.34 | 2022 |
| Defining Smart Contract Defects on Ethereum | 4 | 0.44 | 2022 |
| How does working from home affect developer productivity? — A case study of Baidu during the COVID-19 pandemic | 0 | 0.34 | 2022 |
| Diversified Third-Party Library Prediction for Mobile App Development | 2 | 0.36 | 2022 |
| Recommending Code Reviewers for Proprietary Software Projects: A Large Scale Study | 0 | 0.34 | 2022 |
| <sc>DefectChecker</sc>: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode | 1 | 0.36 | 2022 |
| Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum | 0 | 0.34 | 2022 |
| An Empirical Study of Release Note Production and Usage in Practice | 0 | 0.34 | 2022 |
| CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words | 0 | 0.34 | 2022 |
| Making Python code idiomatic by automatic refactoring non-idiomatic Python code with pythonic idioms. | 0 | 0.34 | 2022 |
| VCMatch: A Ranking-based Approach for Automatic Security Patches Localization for OSS Vulnerabilities | 0 | 0.34 | 2022 |
| Technical Q8A Site Answer Recommendation via Question Boosting | 3 | 0.40 | 2021 |
| How does Machine Learning Change Software Development Practices? | 8 | 0.53 | 2021 |
| Code2Que: a tool for improving question titles from mined code snippets in stack overflow | 0 | 0.34 | 2021 |
| Automating the removal of obsolete TODO comments | 4 | 0.41 | 2021 |
| Evaluating Upgradable Smart Contract | 0 | 0.34 | 2021 |
| Which Variables Should I Log? | 2 | 0.37 | 2021 |
| Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction | 1 | 0.34 | 2021 |
| A comprehensive study on security bug characteristics | 1 | 0.36 | 2021 |
| Effort-aware just-in-time defect identification in practice: a case study at Alibaba | 4 | 0.39 | 2020 |
| Perceptions, Expectations, and Challenges in Defect Prediction | 16 | 0.52 | 2020 |
| JITO: a tool for just-in-time defect identification and localization | 1 | 0.35 | 2020 |
| Generating Question Titles for Stack Overflow from Mined Code Snippets | 5 | 0.41 | 2020 |
| DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information | 1 | 0.35 | 2020 |
| Deep code comment generation with hybrid lexical and syntactical information | 17 | 0.57 | 2020 |
| Automating just-in-time comment updating | 3 | 0.37 | 2020 |
| Improving Code Search with Co-Attentive Representation Learning | 4 | 0.38 | 2020 |
| What do Programmers Discuss about Deep Learning Frameworks | 4 | 0.39 | 2020 |
| BIKER - a tool for Bi-information source based API method recommendation. | 1 | 0.35 | 2019 |
| AnswerBot - an answer summary generation tool based on stack overflow. | 1 | 0.36 | 2019 |
| How practitioners perceive coding proficiency | 3 | 0.37 | 2019 |
| A manual inspection of Defects4J bugs and its implications for automatic program repair | 4 | 0.39 | 2019 |
| Domain Specific Code Smells in Smart Contracts. | 0 | 0.34 | 2019 |
| Characterizing and identifying reverted commits | 7 | 0.45 | 2019 |
| Automating App Review Response Generation. | 1 | 0.35 | 2019 |
| Practitioners' views on good software testing practices | 0 | 0.34 | 2019 |
| Retrieve and refine: exemplar-based neural comment generation | 4 | 0.39 | 2019 |
| Automatic Generation of Pull Request Descriptions. | 9 | 0.45 | 2019 |
| Characterization and Prediction of Popular Projects on GitHub | 1 | 0.35 | 2019 |
| AppMoD: Helping Older Adults Manage Mobile Security with Online Social Help | 0 | 0.34 | 2019 |
| Fusing multi-abstraction vector space models for concern localization. | 2 | 0.38 | 2018 |
| Inference of development activities from interaction with uninstrumented applications. | 2 | 0.38 | 2018 |
