Comprehensible software fault and effort prediction: A data mining approach

A Novel Approach for Identifying Software Fault Prediction in mining

Identifying and locating defects in software projects is a difficult work. In particular, when project sizes grow, this task becomes expensive. The aim of this research is to establish a method for identifying software defects using data mining applications methods. In this work we used Synthetic data Program (SD).We used mining methods to construct a two step model that predicts potentially de...

Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach

Advanced Data Mining Approach for Wind Turbines Fault Prediction

Wind turbine operation and maintenance costs depend on the reliability of its components. Thus, a critical task is to detect and isolate faults, as fast as possible, and restore optimal operating conditions in the shortest time. In this paper, a data mining approach is proposed for fault prediction by detecting the faults inception in the wind turbines, in particu lar pitch actuators. The role ...

Haiku: interactive comprehensible data mining

This paper discusses a novel data mining system devised and developed at Birmingham, which attempts to provide a more effective data mining system. It ties in with the workshop goals in a number of different areas. The system tries to allow users to see the big picture and not get caught up in irrelevant detail too early; it uses perception-based approaches to data mining, and it uses interacti...

On Software Fault Prediction by Mining Software Complexity Data with Dynamically Filtered Training Sets

Software fault prediction methods are very appropriate for improving the software reliability. With the creation of large empirical databases of software projects, as a result of stimulated research on estimation models, metrics and methods for measuring and improving processes and products, intelligent mining of these datasets can largely add to the improvement of software reliability. In the ...