Background: The accurate prediction of where faults are likely to occur in code can help
direct test effort, reduce costs, and improve the quality of software. Objective: We investigate …

Background Software fault prediction is the process of develo** models that can be used
by the software practitioners in the early phases of software development life cycle for …

Software defect prediction strives to improve software quality and testing efficiency by
constructing predictive classification models from code attributes to enable a timely …

Defect prediction models help software quality assurance teams to allocate their limited
resources to the most defect-prone modules. Model validation techniques, such as-fold …

Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

Defect prediction models-classifiers that identify defect-prone software modules-have
configurable parameters that control their characteristics (eg, the number of trees in a …

Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …

In this paper, Boolean functions in, 4C0 are studied using harmonic analysis on the cube.
The main result is that an ACO Boolean function has almost all of its “power spectrum” on …

Advance knowledge of which files in the next release of a large software system are most
likely to contain the largest numbers of faults can be a very valuable asset. To accomplish …

Prevention of security breaches completely using the existing security technologies is
unrealistic. As a result, intrusion detection is an important component in network security …