Kim Herzig | Software Engineering Chair | Saarland University

Chair moves

by kim March 20, 2010

On the 29th of March 2010, the software engineering chair moves to building E1 1 on the University campus. I am already working in my new office: Building E1 1, 1st floor, room 1.15. We also got new phone numbers (mine is +49 681 302 70986) but the old numbers will be forwarded to 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 [...]

StartSSL Notary

by kim October 23, 2009

As written in an earlier post, I had to replace my current email certificates signed by Thawte. After a long journey through different alternatives, I decided to switch to StartSSL. I already have a new email class2 certificate. This also allows me to act as a StartSSL notary. If you are want to get signed, [...]

THAWTE to discontinue free Email Certificate Services and Web of Trust Service

by kim October 13, 2009

Thawte will be discontinuing their free E-mail Certificates and email cert “web of trust” service, as of Nov 16, 2009. They are offering a free one-time migration to a 1 year Versign certificate services subscription (which is is a chargeable thing after your first year runs out).

Mining the Jazz Repository: Challenges and Opportunities

by kim April 22, 2009

By integrating various development and collaboration tools into one single platform, the Jazz environment offers several opportunities for software repository miners. In particular, Jazz offers full traceability from the initial requirements via work packages and work assignments to the final changes and tests; all these features can be easily accessed and leveraged for better prediction [...]

Predicting Defects in SAP Java Code: An Experience Report – ICSE 2009

by kim April 5, 2009

Which components of a large software system are the most defect-prone? In a study on a large SAP Java system, we evaluated and compared a number of defect predictors, based on code features such as complexity metrics, static error detectors, change frequency, or component imports, thus replicating a number of earlier case studies in an [...]

Predicting Defects in SAP Products: A Replicated Study

by kim April 5, 2009

Given a large body of code, how do we know where to focus our quality assurance effort? By mining the software’s defect history, we can automatically learn which code features correlated with defects in the past—and leverage these correlations for new predictions: “In the past, high inheritance depth was an indicator of a high number [...]

← Previous Entries

Next Entries →