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The SmartSHARK Ecosystem for Software Repository Mining [article]

Alexander Trautsch, Fabian Trautsch, Steffen Herbold, Benjamin Ledel, Jens Grabowski
2020 arXiv   pre-print
Software repository mining is the foundation for many empirical software engineering studies.  ...  SmartSHARK is an ecosystem that supports replicable and reproducible research based on software repository mining.  ...  We also thank the GWDG for their great support while we were using their batch system.  ... 
arXiv:2001.01606v1 fatcat:r2go6pkzzvfxpbdqutd7k6fffu

Guest Editorial: Special section on mining software repositories

Romain Robbes, Emily Hill, Christian Bird
2018 Empirical Software Engineering  
The Mining Software Repositories (MSR) field analyzes the rich data available in software repositories to uncover interesting and actionable information about software systems and their developers.  ...  The study then explores the possible reasons for this observation.  ...  Acknowledgments We are grateful for the continuous support and encouragement offered by the editorial board for the Journal of Empirical Software Engineering and by the Editors-in-Chief: Robert Feldt,  ... 
doi:10.1007/s10664-018-9612-y fatcat:s7hqgnzb3zbdhpxnwy3d5japum

METHODS OF AUTOMATIC TOPIC MINING IN PUBLICATIONS IN AGRICULTURE DOMAIN

Waldemar Karwowski
2017 Information System in Management  
., Candoia: A Platform and an Ecosystem for Building and De- ploying Versatile Mining Software Repositories Tools, 2015.  ...  [20] Kim, Sunghun, et al, TA-RE: An exchange language for mining software repositories, Proceedings of the 2006 international workshop on Mining software repositories. ACM, 2006.  ...  anybody could have done if the machines were used for that purpose" said one of the informatics patrons -Gottfried Wilhelm Leibniz.  ... 
doi:10.22630/isim.2017.6.3.3 fatcat:manht4kj7rcpzj4qknh2sgcaku

Problems with SZZ and Features: An empirical study of the state of practice of defect prediction data collection [article]

Steffen Herbold, Alexander Trautsch, Fabian Trautsch, Benjamin Ledel
2021 arXiv   pre-print
Context: The SZZ algorithm is the de facto standard for labeling bug fixing commits and finding inducing changes for defect prediction data.  ...  are important for defect prediction.  ...  We also want to thank the GWDG for the support in using their high performance computing infrastructure, that enabled the collection of the large amounts of software metric data.  ... 
arXiv:1911.08938v3 fatcat:xrj2fi7o6jbdfbym2jdflgeex4