IEEE

Comparative Study of Machine Learning Based Defect Prediction Models for Python Software

Abstract: Software Defect Prediction improves the software's stability and ensures the testing process is streamlined by pointing out issues in code. Software developers can manage and use their ...
Computer Weekly

CCRC says multiple Post Office software systems potentially implicated in miscarriages of justice

Statutory body said its work has widened to multiple IT systems, and could even look at potential Post Office miscarriages of ...
The Herald-Dispatch

From delayed launches to frustrated users: why better test management makes everyday software smoother

When an app update is delayed or a new feature launches with bugs, it rarely feels like a “technical issue” to the people using it. For everyday users, it is ...
Scientific Research Publishing

H. Zeng and D. Rine, “A Neural Network Approach for Software Defects Fix Effort Estimation,” Proceedings of the Eighth IASTED International Conference Software Engineering ...

ABSTRACT: A variety of Software Reliability Growth Models (SRGM) have been presented in literature. These models suffer many problems when handling various types of project. The reason is; the nature ...
IEEE

Cross-Entropy: A New Metric for Software Defect Prediction

Abstract: Defect prediction is an active topic in software quality assurance, which can help developers find potential bugs and make better use of resources. To improve prediction performance, this ...