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 …

Software systems have become larger and more complex than ever. Such characteristics
make it very challengeable to prevent software defects. Therefore, automatically predicting …

In a manual examination of more than 7,000 issue reports from the bug databases of five
open-source projects, we found 33.8% of all bug reports to be misclassified-that is, rather …

In this paper we present a comparative analysis of the predictive power of two different sets
of metrics for defect prediction. We choose one set of product related and one set of process …

In software development, resources for quality assurance are limited by time and by cost. In
order to allocate resources effectively, managers need to rely on their experience backed by …

Where do most vulnerabilities occur in software? Our Vulture tool automatically mines
existing vulnerability databases and version archives to map past vulnerabilities to …

Software engineering researchers have long been interested in where and why bugs occur
in code, and in predicting where they might turn up next. Historical bug-occurence data has …

Often software systems are developed by organizations consisting of many teams of
individuals working together. Brooks states in the Mythical Man Month book that product …

The ability to evolve software rapidly and reliably is a major challenge for software
engineering. In this introductory chapter we start with a historic overview of the research …

We exploit recent advances in analysis of graph topology to better understand software
evolution, and to construct predictors that facilitate software development and maintenance …