News

We are happy to announce that our paper The SmartSHARK Ecosystem for Software Repository Mining was accepted for publication at the Demostrations Track of the 42nd International Conference on Software Engineering. The paper presents our SmartSHARK ecosystems that is comprised of tools for various software mining tasks, e.g., the scraping of data from the Git version control system, the Jira issue tracker, or mailing lists. SmartSHARK can also collect data the source code, e.g., software metrics, detected refactorings, or the types of changes. Additional tools in the ecosystem allow the application of heuristics and manual validation to further enrich the collected data. SmartSHARK exposes all data for analysis and visualization in a single database, that can be used by researchers to conduct experiments. The International Conference on Software Engineering is the most important conference in the field of software engineering and, together with the top journals in the field, one of the most reputable venues for research publications. 

We are happy to announce that Steffen Herbold's paper With Registered Reports Towards Large Scale Data Curation was accepted for publication at the New Ideas and Emerging Results track of the 42nd International Conference on Software Engineering. The paper proposes an approach for crowd sourcing research tasks based on the concept behind Amazon's mechanical turk. The critical differences are that the research projects are in the form of pre-registered studies and that the motivation for the contribution to the crowd working is not monetary, but credit in the form of authorship. The International Conference on Software Engineering is the most important conference in the field of software engineering and, together with the top journals in the field, one of the most reputable venues for research publications. 

We are happy to announce the Steffen Herbold's article On the cost and profit of software defect prediction was accepted for publication by the IEEE Transactions on Software engineering. The article defines a cost model for software defect prediction. Based on the cost model, we derive required upper and lower boundaries that must be fulfilled in order for a defect prediction model to have any chance of saving costs. As part of the analysis of costs, we determined a systematic problem in nearly the complete body of literature of defect prediction: we ignore the n-to-m relationship between artifacts and defects and usually assume a 1-to-1 or 1-to-m relationship (binary labels, defect counts). However, costs of defect prediction models can vary a lot if the n-to-m relationship accounted for. 

On 26. October 2019, our group member Patrick Harms with support of several students will represent our institute and research group at "Wissenswert - Science Goes City". This is a full day event organized in cooperation of the University of Goettingen and small businesses in the city center of Goettingen. Researchers from the university can present their work to the public using available spaces in shops and stores throughout the city. Patrick Harms will present his research on using Augmented and Virtual Reality for the evaluation of virtual prototypes. The location for this is the StartRaum, Friedrichstraße 3-4, between 12pm and 6pm. More details of the event are available at https://www.uni-goettingen.de/de/wissenswert+-+science+goes+city/613438.html.