Mining software engineering data
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Diagnosing memory leaks using graph mining on heap dumps
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Scenario-based and value-based specification mining: better together
Proceedings of the IEEE/ACM international conference on Automated software engineering
Software intelligence: the future of mining software engineering data
Proceedings of the FSE/SDP workshop on Future of software engineering research
Proceedings of the FSE/SDP workshop on Future of software engineering research
Operating system compatibility analysis of Eclipse and Netbeans based on bug data
Proceedings of the 8th Working Conference on Mining Software Repositories
Analysis the effect of data mining techniques on database
Advances in Engineering Software
Software process evaluation: A machine learning approach
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
On the naturalness of software
Proceedings of the 34th International Conference on Software Engineering
Software mining and fault prediction
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
A CASE Tool for Java Mobile Computing Applications
International Journal of Mobile Computing and Multimedia Communications
A study of subgroup discovery approaches for defect prediction
Information and Software Technology
Data stream mining for predicting software build outcomes using source code metrics
Information and Software Technology
| Hi-index | 4.10 |
To improve software productivity and quality, software engineers are increasingly applying data mining algorithms to various software engineering tasks. However, mining SE data poses several challenges. The authors present various algorithms to effectively mine sequences, graphs, and text from such data.