Amanote Research
Register
Sign In
A Taxonomy of Data Quality Challenges in Empirical Software Engineering
doi 10.1109/aswec.2013.21
Full Text
Open PDF
Abstract
Available in
full text
Date
June 1, 2013
Authors
Michael Franklin Bosu
Stephen G. MacDonell
Publisher
IEEE
Related search
A Taxonomy of Software Engineering Challenges for Machine Learning Systems: An Empirical Investigation
Lecture Notes in Business Information Processing
Control
Systems Engineering
Information Systems
Business
International Management
Simulation
Management
Management Information Systems
Modeling
An Extended Global Software Engineering Taxonomy
Journal of Software Engineering Research and Development
Challenges for Software Engineering in Automation
Journal of Software Engineering and Applications
A Taxonomy for Requirements Engineering and Software Test Alignment
ACM Transactions on Software Engineering and Methodology
Software
Software Quality Challenges
The Nature of Evidence in Empirical Software Engineering
The Software Quality Challenges
Comparing Approaches for Quality Evaluation of Software Engineering Experiments: An Empirical Study on Software Product Line Experiments
Journal of Computer Science
Computer Networks
Software
Artificial Intelligence
Communications
Formalisms in Software Engineering: Myths Versus Empirical Facts
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
