A Practical Failure Prediction Model based on Code Smells and Software Development Metrics
Author:
Affiliation:
1. Raiffeisen Software GmbH, Austria
2. Business Informatics - Software Engineering, Johannes Kepler University Linz, Austria
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3651640.3651644
Reference16 articles.
1. Using Machine Learning Techniques to Classify and Predict Static Code Analysis Tool Warnings
2. Graham Bath and Judy McKay. 2008. The Software Test Engineer’s Handbook: A Study Guide for the ISTQB Test Analyst and Technical Test Analyst Advanced Level Certificates. Rocky Nook; 1. Edition, San Rafael, CA, United States.
3. Cathal Boogerd and Leon Moonen. 2006. Prioritizing Software Inspection Results using Static Profiling. abs/cs/0607063 (2006). arXiv:cs/0607063http://arxiv.org/abs/cs/0607063
4. Technical debt prioritization using predictive analytics
5. The WyCash portfolio management system
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