Cross-Project Defect Prediction with Respect to Code Ownership Model: An Empirical Study
Journal Title: e-Informatica Software Engineering Journal - Year 2015, Vol 9, Issue 1
Abstract
The paper presents an analysis of 83 versions of industrial, open-source and academic projects. We have empirically evaluated whether those project types constitute separate classes of projects with regard to defect prediction. Statistical tests proved that there exist significant differences between the models trained on the aforementioned project classes. This work makes the next step towards cross-project reusability of defect prediction models and facilitates their adoption, which has been very limited so far.
Authors and Affiliations
Marian Jureczko, Lech Madeyski
ABC-CAG: Covering Array Generator for Pair-wise Testing Using Artificial Bee Colony Algorithm
Testing is an indispensable part of the software development life cycle. It is performed to improve the performance, quality and reliability of the software. Various types of testing such as functional testing and struct...
Using the Cognitive Walkthrough Method in Software Process Improvement
In the past years, efforts in the field of Software Process Improvement were increasingly focusing on human aspects making one aware that people participating in the processes have a high impact on the success of any imp...
Data Flow Approach to Testing Java Programs Supported with DFC
Code based (``white box'') approach to testing can be divided into two main types: control flow coverage and data flow coverage. The data flow testing was introduced to structural programming languages and later adopted...
Generating Graphical User Interfaces from Precise Domain Specifications
Turning requirements into working systems is the essence of software engineering. This paper proposes automation of one of the aspects of this vast problem: generating user interfaces directly from requirements models. I...
Are We Working Well with Others? How the Multi Team Systems Impact Software Quality
Background: There are many studies on software development teams, but few about the interactions between teams. Current findings suggest that these multi-team systems may have a significant impact on software development...