@conference {Mitropoulos:2014:BCM:2597073.2597123,
	title = {The Bug Catalog of the Maven Ecosystem},
	booktitle = {Proceedings of the 11th Working Conference on Mining Software Repositories},
	series = {MSR 2014},
	year = {2014},
	pages = {372{\textendash}375},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Examining software ecosystems can provide the research community with data regarding artifacts, processes, and communities. We present a dataset obtained from the Maven central repository ecosystem (approximately 265GB of data) by statically analyzing the repository to detect potential software bugs. For our analysis we used FindBugs, a tool that examines Java bytecode to detect numerous types of bugs. The dataset contains the metrics results that FindBugs reports for every project version (a JAR) included in the ecosystem. For every version we also stored specific metadata such as the JAR{\textquoteright}s size, its dependencies and others. Our dataset can be used to produce interesting research results, as we show in specific examples.
},
	keywords = {findbugs, Maven Repository, msr data showcase, Software Bugs},
	isbn = {978-1-4503-2863-0},
	doi = {10.1145/2597073.2597123},
	url = {http://doi.acm.org/10.1145/2597073.2597123},
	attachments = {https://flosshub.org/sites/flosshub.org/files/mitro.pdf},
	author = {Mitropoulos, Dimitris and Vassilios Karakoidas and Louridas, Panos and Gousios, Georgios and Diomidis Spinellis}
}
@conference {Saini:2014:DMA:2597073.2597134,
	title = {A Dataset for Maven Artifacts and Bug Patterns Found in Them},
	booktitle = {Proceedings of the 11th Working Conference on Mining Software Repositories},
	series = {MSR 2014},
	year = {2014},
	pages = {416{\textendash}419},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {In this paper, we present data downloaded from Maven, one of the most popular component repositories. The data includes the binaries of 186,392 components, along with source code for 161,025. We identify and organize these components into groups where each group contains all the versions of a library. In order to asses the quality of these components, we make available report generated by the FindBugs tool on 64,574 components. The information is also made available in the form of a database which stores total number, type, and priority of bug patterns found in each component, along with its defect density. We also describe how this dataset can be useful in software engineering research.
},
	keywords = {Empirical Research, Empirical software engineering, findbugs, maven, software quality},
	isbn = {978-1-4503-2863-0},
	doi = {10.1145/2597073.2597134},
	url = {http://doi.acm.org/10.1145/2597073.2597134},
	author = {Saini, Vaibhav and Sajnani, Hitesh and Ossher, Joel and Lopes, Cristina V.}
}
@conference {1012,
	title = {Prioritizing Warning Categories by Analyzing Software History},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {27 - 27},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {Automatic bug finding tools tend to have high false positive rates: most warnings do not indicate real bugs. Usually bug finding tools prioritize each warning category. For example, the priority of "overflow" is 1 and the priority of "jumbled incremental" is 3, but the tools{\textquoteright} prioritization is not very effective.

In this paper, we prioritize warning categories by analyzing the software change history. The underlying intuition is that if warnings from a category are resolved quickly by developers, the warnings in the category are important. Experiments with three bug finding tools (FindBugs, JLint, and PMD) and two open source projects (Columba and jEdit) indicate that different warning categories have very different lifetimes. Based on that observation, we propose a preliminary algorithm for warning category prioritizing.},
	keywords = {bug fixing, change history, columba, findbugs, jedit, jlint, kenyon, pmd, warning},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.26},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300027.pdf},
	author = {Kim, Sunghun and Ernst, Michael D.}
}
