Improving Fault Localization and Program Repair with Deep Semantic Features and Transferred Knowledge | 0 | 0.34 | 2022 |
An error consistency based approach to answer aggregation in open-ended crowdsourcing | 0 | 0.34 | 2022 |
DreamLoc: A Deep Relevance Matching-Based Framework for bug Localization | 1 | 0.36 | 2022 |
Adversarial Learning from Crowds. | 0 | 0.34 | 2022 |
Teaching Active Human Learners | 0 | 0.34 | 2021 |
Data Poisoning Attacks on Crowdsourcing Learning | 0 | 0.34 | 2021 |
Retrieval-based neural source code summarization | 16 | 0.55 | 2020 |
CONAN: A framework for detecting and handling collusion in crowdsourcing. | 2 | 0.40 | 2020 |
Best Answerers Prediction With Topic Based GAT In Q&A Sites. | 0 | 0.34 | 2020 |
Predicting Crowdsourcing Worker Performance with Knowledge Tracing. | 0 | 0.34 | 2020 |
How are distributed bugs diagnosed and fixed through system logs | 0 | 0.34 | 2020 |
A Scalable Operating System Experiment Platform Supporting Learning Behavior Analysis | 0 | 0.34 | 2020 |
Robust Adversarial Active Learning with a Novel Diversity Constraint | 0 | 0.34 | 2020 |
Structured Probabilistic End-to-End Learning from Crowds | 0 | 0.34 | 2020 |
Developer recommendation for Topcoder through a meta-learning based policy model | 2 | 0.36 | 2020 |
A novel neural source code representation based on abstract syntax tree | 39 | 1.30 | 2019 |
A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques | 0 | 0.34 | 2019 |
Combining Model Learning And Model Checking To Analyze Java Libraries | 0 | 0.34 | 2019 |
Model Learning: A Survey Of Foundations, Tools And Applications | 0 | 0.34 | 2019 |
On the Cost Complexity of Crowdsourcing. | 2 | 0.38 | 2018 |
大数据驱动的开发者社区中知识交流网络的分析 (Big Data Driven Analysis of Knowledge Exchange Network in Developer Community). | 0 | 0.34 | 2018 |
A Hybrid Approach To Developer Recommendation Based On Multi-Relationship | 0 | 0.34 | 2018 |
Personalized teammate recommendation for crowdsourced software developers. | 2 | 0.37 | 2018 |
On the Cost Complexity of Crowdsourcing. | 0 | 0.34 | 2018 |
Entity-level sentiment analysis of issue comments. | 4 | 0.42 | 2018 |
Automatically Generating API Usage Patterns from Natural Language Queries | 1 | 0.40 | 2018 |
Collusion-Proof Result Inference in Crowdsourcing. | 1 | 0.35 | 2018 |
Don't Get Caught in the Cold, Warm Up Your JVM. | 0 | 0.34 | 2017 |
Handling multi-dimensional complex queries in key-value data stores. | 1 | 0.34 | 2017 |
Adaptive Result Inference for Collecting Quantitative Data With Crowdsourcing. | 2 | 0.39 | 2017 |
Intelligent Development Environment and Software Knowledge Graph. | 7 | 0.48 | 2017 |
A Decision Tree Based Quality Control Framework For Multi-Phase Tasks In Crowdsourcing | 1 | 0.35 | 2017 |
Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition. | 2 | 0.37 | 2017 |
Achieving convergent causal consistency and high availability for cloud storage. | 1 | 0.36 | 2017 |
An efficient and highly available framework of data recency enhancement for eventually consistent data stores. | 1 | 0.36 | 2017 |
Recommending crowdsourced software developers in consideration of skill improvement. | 3 | 0.38 | 2017 |
Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing. | 7 | 0.43 | 2016 |
Recommendflow: Use Topic Model to Automatically Recommend Stack Overflow Q&A in IDE. | 0 | 0.34 | 2016 |
Recommender systems based on ranking performance optimization | 3 | 0.37 | 2016 |
Don't Get Caught in the Cold, Warm-up Your JVM: Understand and Eliminate JVM Warm-up Overhead in Data-Parallel Systems. | 7 | 0.43 | 2016 |
A Truthful Online Auction for Tempo-spatial Crowdsourcing Tasks | 5 | 0.48 | 2015 |
Truthful Incentive Mechanisms for Dynamic and Heterogeneous Tasks in Mobile Crowdsourcing | 1 | 0.35 | 2015 |
On the tradeoff of availability and consistency for quorum systems in data center networks. | 2 | 0.37 | 2015 |
Efficient Testing of Web Services with Mobile Crowdsourcing. | 0 | 0.34 | 2015 |
Service4All: a scalable PaaS platform for service-oriented software | 0 | 0.34 | 2015 |
Combining Machine Learning And Crowdsourcing For Better Understanding Commodity Reviews | 5 | 0.45 | 2015 |
Combining Crowd Contributions with Machine Learning to Detect Malicious Mobile Apps. | 0 | 0.34 | 2015 |
iTest: testing software with mobile crowdsourcing | 8 | 0.58 | 2014 |
A QoS-Aware Load Balancing Policy in Multi-tenancy Environment | 1 | 0.35 | 2014 |
MIAPS: a web-based system for remotely accessing and presenting medical images. | 8 | 0.63 | 2014 |