Shotgun correlations in software measures
Software Engineering Journal
Data mining and knowledge discovery in databases
Communications of the ACM
Using the GQM paradigm to investigate influential factors for software process improvement
Journal of Systems and Software
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Data Mining using MLC++, A Machine Learning Library in C++
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
Data Mining for Very Busy People
Computer
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
Feature subset selection can improve software cost estimation accuracy
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
Proceedings of the 2006 international workshop on Mining software repositories
Discretization from data streams: applications to histograms and data mining
Proceedings of the 2006 ACM symposium on Applied computing
Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Finding Prototypes For Nearest Neighbor Classifiers
IEEE Transactions on Computers
Hierarchical sampling for active learning
Proceedings of the 25th international conference on Machine learning
Does distributed development affect software quality?: an empirical case study of Windows Vista
Communications of the ACM - A Blind Person's Interaction with Technology
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
ACM Computing Surveys (CSUR)
The Journal of Machine Learning Research
Cross-project defect prediction: a large scale experiment on data vs. domain vs. process
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
A review of instance selection methods
Artificial Intelligence Review
Automatically finding the control variables for complex system behavior
Automated Software Engineering
Defect prediction from static code features: current results, limitations, new approaches
Automated Software Engineering
Proceedings of the FSE/SDP workshop on Future of software engineering research
IEEE Transactions on Software Engineering
Genetic Algorithms for Randomized Unit Testing
IEEE Transactions on Software Engineering
Sharing experiments using open-source software
Software—Practice & Experience
Empirical software engineering at Microsoft Research
Proceedings of the ACM 2011 conference on Computer supported cooperative work
ICST '11 Proceedings of the 2011 Fourth IEEE International Conference on Software Testing, Verification and Validation
Active learning in the non-realizable case
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Exploiting the Essential Assumptions of Analogy-Based Effort Estimation
IEEE Transactions on Software Engineering
Data science for software engineering
Proceedings of the 2013 International Conference on Software Engineering
| Hi-index | 0.00 |
The practices of industrial and academic data mining are very different. These differences have significant implications for (a) how we manage industrial data mining projects; (b) the direction of academic studies in data mining; and (c) training programs for engineers who seek to use data miners in an industrial setting.