plays an important role in reducing the costs of software development and maintaining the high quality of software systems. The early prediction of defectproneness of the modules can allow software developers to allocate the limited resources on those defect-prone modules such that high quality software can be produced on time and within budget. It is a great challenge to address the class-imba...

Non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to estimate the software reliability, the number of remaining faults in software and the software release timing. In this paper, we propose a new modeling approach for the NHPP-based software reliability models (SRMs) to describe the stochastic behavior of software fault-detection processes. ...

BACKGROUND – The accurate prediction of where faults are likely to occur in code is important since it can help direct test effort, reduce costs and improve the quality of software. As a consequence, many different fault prediction models have been developed and reported in the literature. However, there is no consensus on what constitutes effective fault prediction. OBJECTIVE – To investigate ...

Controlling and minimizing software complexity is the most important objective of each software development paradigm because it affects all other software quality attributes like reusability, reliability, testability, maintainability etc. For this purpose, a number of software complexity measures have been reported to quantify different aspects of complexity. Complexity and fault proneness are ...