@proceedings {1497,
	title = {Why So Complicated? Simple Term Filtering and Weighting for Location-Based Bug Report Assignment Recommendation},
	year = {2013},
	month = {05-2013},
	pages = {2-11},
	abstract = {Large software development projects receive many
bug reports and each of these reports needs to be triaged. An
important step in the triage process is the assignment of the
report to a developer. Most previous eorts towards improving
bug report assignment have focused on using an activity-based
approach. We address some of the limitations of activity-based
approaches by proposing a two-phased location-based approach
where bug report assignment recommendations are based on the
predicted location of the bug. The proposed approach utilizes
a noun extraction process on several information sources to
determine bug location information and a simple term weighting
scheme to provide a bug report assignment recommendation.
We found that by using a location-based approach, we achieved
an accuracy of 89.41\% and 59.76\% when recommending five
developers for the Eclipse and Mozilla projects, respectively.},
	keywords = {bug, bug report assignment, eclipse, File Activity Histories, Mining Software Artifacts, mozilla, Named Entity Recognition, POS Filtering},
	url = {http://www.cwu.edu/~janvik/papers/msr2013.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/msr2013.pdf}
}
@conference {bird2010lee,
	title = {{Linkster: Enabling Efficient Manual Mining}},
	booktitle = {Demonstration Track, Proceedings of the 17th SIGSOFT Symposium on Foundations of Software Engineering},
	year = {2010},
	note = {"LINKSTER efficiently displays, integrates, and allows inspection and annotation of information from three main sources of data: source code repositories, developer mailing lists archives, and bug tracking databases. LINKSTER requires access to a source code repository for file content and a database which contains the raw mined repository, mailing list, and bug tracking information. All notes and annotations made by the user are also recorded in the database."},
	publisher = {ACM},
	organization = {ACM},
	abstract = {While many uses of mined software engineering data are automatic in nature, some techniques and studies either require, or can be improved, by manual methods. Unfortunately, manually inspecting, analyzing, and annotating mined data can be difficult and tedious, especially when information from multiple sources must be integrated. Oddly, while there are numerous tools and frameworks for automatically mining and analyzing data, there is a dearth of tools which facilitate manual methods. To fill this void, we have developed LINKSTER, a tool which integrates data from bug databases, source code repositories, and mailing list archives to allow manual inspection and annotation. LINKSTER has already been used successfully by an OSS project lead to obtain data for one empirical study.},
	keywords = {artifacts, bug, bug tracking, data mining, email, mailing lists, open source, source code},
	attachments = {https://flosshub.org/sites/flosshub.org/files/bird2010lee.pdf},
	author = {Christian Bird and Adrian Bachman and Rahman, Foyzur and Bernstein, Abraham}
}
@article {1239,
	title = {Weaving a Semantic Web Across OSS Repositories},
	journal = {International Journal of Open Source Software and Processes},
	volume = {2},
	year = {2010},
	month = {32/2010},
	pages = {29 - 40},
	abstract = {Several public repositories and archives of {\textquotedblleft}facts{\textquotedblright} about libre software projects, maintained either by open source communities or by research communities, have been flourishing over the Web in recent years. These have enabled new analysis and support for new quality assurance tasks. This paper presents some complementary existing tools, projects and models proposed both by OSS actors or research initiatives that are likely to lead to useful future developments in terms of study of the FLOSS phenomenon, and also to the very practitioners in the FLOSS development projects. A goal of the research conducted within the HELIOS project is to address bugs traceability issues. In this regard, the authors investigate the potential of using Semantic Web technologies in navigating between many different bugtracker systems scattered all over the open source ecosystem. By using Semantic Web techniques, it is possible to interconnect the databases containing data about open-source software projects development, which enables OSS partakers to identify resources, annotate them, and further interlink those using dedicated properties and collectively designing a distributed semantic graph.},
	keywords = {archive, bug, bugtracker, database, debian, forge, interoperability, ontology, OSLC-CM, RDF, repository of repositories, semantic, semantic Web},
	issn = {1942-3934},
	doi = {10.4018/jossp.2010040103},
	attachments = {https://flosshub.org/sites/flosshub.org/files/wopdasd2009-olivier-berger.pdf},
	author = {Olivier Berger and Valentin Vlasceanu and Christian Bac and Quang Vu Dang and Lauriere, St{\'e}phane}
}
