Searching for "Problems with Precision A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'"." – sorted by Relevance.
-
Problems with Precision: A Response to “Comments on ‘Data Mining Static Code Attributes to Learn
- with Precision: A Response to “Comments on ‘Data Mining Static Code Attributes to Learn Defect Predictors’” Tim
- Cited by 2 (0 self) – Add To MetaCart
-
Data mining static code attributes to learn defect predictors
- to prior pessimism [21], [22], data mining static code attributes to learn defect predictors is useful
- Cited by 9 (3 self) – Add To MetaCart
-
Coactive Learning for Distributed Data Mining
- 1998 Coactive Learning for Distributed Data Mining Abstract We introduce coactive learning as a
- Add To MetaCart
-
of the Data Mining and Machine Learning
- years, there has been a remarkable development of the Data Mining and Machine Learning (ML) arenas
- Add To MetaCart
-
Data Mining of Printed-Circuit Board Defects
- _______________________________________________________________________________ Data Mining of Printed-Circuit Board Defects Andrew Kusiak and Christian Kurasek Abstract—This paper
- Cited by 4 (0 self) – Add To MetaCart
-
Machine Learning and Data Mining
- in Prague Series of Research Reports Report No: GL 157/02 Machine Learning and Data Mining Jiˇrí Palou
- Add To MetaCart
-
Abstract Evaluating Static Analysis Defect Warnings On Production Software
- the warnings found by FindBugs, a static analysis tool that finds defects in Java programs. We discuss
- Cited by 1 (0 self) – Add To MetaCart
-
EQ-Mine: Predicting short-term defects for software evolution
- issues. For defect prediction we expect that data mining features from many different categories
- Cited by 3 (2 self) – Add To MetaCart
-
Lightweight defect localization for java
- to contain a defect. Therefore, the programmer should start searching for the defect in the code
- Cited by 23 (4 self) – Add To MetaCart
-
Types and Classes of Machine Learning and Data Mining
- and used in statistics, machine learning and data mining, is examined from a semantic point of view. Data
- Cited by 3 (2 self) – Add To MetaCart

