The Impact of Test Case Summaries on Bug Fixing Performance: An Empirical Investigation

Automated test generation tools have been widely investigated with the goal of reducing the cost of testing activities. However, generated tests have been shown not to help developers in detecting and finding more bugs even though they reach higher structural coverage compared to manual testing. The main reason is that generated tests are...

Predicting the fix time of bugs

Two important questions concerning the coordination of development effort are which bugs to fix first and how long it takes to fix them. In this paper we investigate empirically the relationships between bug report attributes and the time to fix. The objective is to compute prediction models that can be used to recommend whether a new bug should...

Using the Gini Coefficient for Bug Prediction in Eclipse

The Gini coefficient is a prominent measure to quantify the inequality of a distribution. It is often used in the field of economy to describe how goods, e.g., wealth or farmland, are distributed among people. We use the Gini coefficient to measure code ownership by investigating how changes made to source code are distributed among the...

Comparing Fine-Grained Source Code Changes And Code Churn For Bug Prediction

A significant amount of research effort has been dedicated to learning prediction models that allow project managers to efficiently allocate resources to those parts of a software system that most likely are bug-prone and therefore critical. Prominent measures for building bug prediction models are product measures, e.g., complexity or process...

Dynamic analysis of communication and collaboration in OSS projects

Software repositories, such as versioning, bug reporting, and developer mailing list archives contain valuable data for analyzing the history of software projects and its dynamics. In this chapter, we focus on the analysis of the communication and collaboration in software projects and present an approach that works on software archives with...

Visual patterns in software process data

Software development teams gather valuable data about features and bugs in issue tracking systems. This information can be used to measure and improve the efficiency and effectiveness of the development process. In this paper we present an approach that harnesses the extraordinary capability of the human brain to detect visual patterns. We...