Software has become a vital part of human's life-hence building defect free software is a
must. Various studies have been carried out to predict defects, probability of defect prone …

A variety of classification algorithms for software defect detection have been developed over
the years. How to select an appropriate classifier for a given task is an important issue in …

The method of recognizing faults in a software system is acknowledged as software fault
prediction. Software faults predicted in prior stages help in the management of resources …

Use of software product metrics in defect prediction studies highlights the utility of these
metrics. Public availability of software defect data based on the product metrics has resulted …

Software is a complex entity composed in various modules with varied range of defect
occurrence possibility. Efficient and timely prediction of defect occurrence in software allows …

Machine Learning approaches are good in solving problems that have less information. In
most cases, the software domain problems characterize as a process of learning that …

Automated reliability assessment is essential for systems that entail dynamic adaptation
based on runtime mission-specific requirements. One approach along this direction is to …

The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …

An improved software defects prediction algorithm based on combination of Kohonen map
and hierarchical clustering is presented in this paper. The need for software reliability …