Talks

Network versus Code Metrics to Predict Defects: A Replication Study – ESEM 2011

by kim May 21, 2011

Several defect prediction models have been proposed to identify which entities in a software system are likely to have defects before its release. This paper presents a replication of one such study conducted by Zimmermann and Nagappan [1] on Windows Server 2003 where the authors leveraged dependency relationships between software entities captured using social network [...]

An Empirical Study of the Factors Relating Field Failures and Dependencies – ICST 2011

by kim November 30, 2010

Changing source code in large software systems is complex and requires a good understanding of dependencies between software components. Modification to components with little regard to dependencies may have an adverse impact on the quality of the latter, i.e., increase their risk to fail. We conduct an empirical study to understand the relationship between the [...]

Capturing the Long-Term Impact of Changes – ICSE 2010

by kim February 17, 2010

Developers change source code to add new functionality, fix bugs, or refactor their code. Many of these changes have immediate impact on quality or stability. However, some impact of changes may become evident only in the long term. The goal of this thesis is to explore the long-term impact of changes by detecting dependencies between [...]