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Data-Driven Software Engineering
V.V. Kovalenko
Software Engineering
Research output
:
Thesis
›
Dissertation (TU Delft)
417
Downloads (Pure)
Overview
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Dive into the research topics of 'Data-Driven Software Engineering'. Together they form a unique fingerprint.
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Weight
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Computer Science
Driven Software
100%
Software Engineering
100%
Evaluation
42%
Model
28%
Real World
28%
Authorship Attribution
28%
Innovation
28%
Tooling
14%
Artifact
14%
Modeling
14%
mining software repository
14%
Synthetic Datasets
14%
Modern Software
14%
Data Mining
14%
Context
14%
Research Worker
14%
Source Codes
14%
Specialized Tool
14%
Individual Contribution
14%
Decision-Making
14%
User
14%
Defect Prediction
14%
Historical Data
14%
Real-World Problem
14%
Research Environment
14%
Recommender Systems
14%
Engineering Process
14%
Accuracy
14%
Record
14%
INIS
computer codes
100%
tools
100%
data
100%
engineering
100%
mining
30%
evaluation
30%
environment
30%
modifications
20%
recommendations
20%
prediction
10%
levels
10%
datasets
10%
range
10%
pipelines
10%
streams
10%
defects
10%
accuracy
10%
reviews
10%
learning
10%
developers
10%
modeling
10%
engines
10%
decision making
10%
Keyphrases
Data-driven Features
66%
Code Authorship Attribution
33%
Source Code Authorship Attribution
33%
Code Reviewer Recommendation
33%
Prediction Engine
33%