| SE Information Retrieval |
Industrial |
Fast finding relevant papers through active learning |
Zhe Yu |
tool,
paper1,
paper2
|
| SE Information Retrieval |
Industrial |
Fast finding software security vulnerabilities through active learning |
Zhe Yu |
paper
|
| Privacy |
Industrial::LAS |
Large-scale Assurance of Confidentiality Environment |
Jianfeng Chen |
python tool,
paper
|
| Timeseries Analysis |
Industrial |
Temporal Trends in Issues, Bugs, Enhancements |
Rahul Krishna |
paper
|
| Agile | Github |
Industrial |
We Don't Need Another Hero? The Impact of" Heroes" on Software Development |
Amritanshu Agrawal |
paper
|
| SBSE |
NSF |
Optimizing Large Scale Software Product Line |
Jianfeng Chen |
paper |
| SBSE | Optimization |
NSF |
Hyperparameter tuning on effort estimation |
Patrick Xia |
paper
|
| Transfer Learning |
NSF |
Simpler Transfer Learning with Bellwethers |
Rahul Krishna |
paper
|
| Planning |
NSF |
Recommending Actionable Analytics with XTREE |
Rahul Krishna |
paper
|
| SBSE | Information Retrieval |
N/A |
What is wrong with Topic Modeling? |
Amritanshu Agrawal |
python Tool,
paper
|
| SBSE | Cloud System |
N/A |
Workflow Scheduling in the Cloud |
Jianfeng Chen |
paper |
| SBSE | Defect Prediction |
N/A |
Is better data better than better data miners? |
Amritanshu Agrawal |
python Tool,
paper
|
| Comprehensibility Information Retrieval |
N/A |
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications |
Amritanshu Agrawal |
paper
|
| Optimization, Defect Prediction |
N/A |
Implications of ϵ-Dominance in Software Engineering |
Amritanshu Agrawal |
paper
|
| Autospark, Devops |
N/A |
Tool to setup an on demand Spark cluster on Apache VCL nodes with HDFS |
Amritanshu Agrawal |
tool
|
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