@conference {zmzkh-icsm-2013,
	title = {How does Context affect the Distribution of Software Maintainability Metrics?},
	booktitle = {Proceedings of the 29th IEEE International Conference on Software Maintainability},
	series = {ICSM {\textquoteright}13},
	year = {2013},
	note = {"FLOSSMole [25] is another data source, from
where we download descriptions (i.e., application domain)
of SourceForge software systems. Furthermore, we download
latest application domain information4
and monthly download
data5 of studied software systems directly from SourceForge."},
	abstract = {Software metrics have many uses, e.g., defect prediction, effort estimation, and benchmarking an organization against peers and industry standards. In all these cases, metrics may depend on the context, such as the programming language. Here we aim to investigate if the distributions of commonly used metrics do, in fact, vary with six context factors: application domain, programming language, age, lifespan, the number of changes, and the number of downloads. For this preliminary study we select 320 nontrivial software systems from SourceForge. These software systems are randomly sampled from nine popular application domains of SourceForge. We calculate 39 metrics commonly used to assess software maintainability for each software system and use Kruskal Wallis test and Mann-Whitney U test to determine if there are significant differences among the distributions with respect to each of the six context factors. We use Cliff{\textquoteright}s delta to measure the magnitude of the differences and find that all six context factors affect the distribution of 20 metrics and the programming language factor affects 35 metrics. We also briefly discuss how each context factor may affect the distribution of metric values.We expect our results to help software benchmarking and other software engineering methods that rely on these commonly used metrics to be tailored to a particular context.},
	keywords = {benchmark, context, contextual factor, flossmole, large scale, metrics, mining software repositories, sampling, software maintainability, sourceforge, static metrics},
	attachments = {https://flosshub.org/sites/flosshub.org/files/icsm2013_contextstudy.pdf},
	author = {Zhang, Feng and Audris Mockus and Ying Zou and Foutse Khomh and Hassan, Ahmed E.}
}
@conference {839,
	title = {Amassing and indexing a large sample of version control systems: towards the census of public source code history},
	booktitle = {6th IEEE Working Conference on Mining Software Repositories},
	year = {2009},
	note = {Related work: "For example, FLOSSMole [8]
collects the list of projects and their metadata from SourceForge,
FreshMeat, Free Software Foundation (FSF), RubyForge,
and ObjectWeb. "

"The list of
home pages from open source directories such as FSF or
FLOSSMole could provide a focused set of web pages for
the search"

"To get the list of projects for SourceForge we used
FLOSSMole project [8] that collects the list of SourceForge
projects and their metadata. We use project ID, because it
was used to specify the VCS URL within the SourceForge
repository."},
	month = {May 16{\textendash}17},
	abstract = {The source code and its history represent the output and process of software development activities and are an in- valuable resource for study and improvement of software development practice. While individual projects and groups of projects have been extensively analyzed, some fundamental questions, such as the spread of innovation or genealogy of the source code, can be answered only by considering the entire universe of publicly available source code and its history. We describe methods we developed over the last six years to gather, index, and update an approximation of such a universal repository for publicly accessible version control systems and for the source code inside a large corporation. While challenging, the task is achievable with limited resources. The bottlenecks in network bandwidth, processing, and disk access can be dealt with using inherent parallelism of the tasks and suitable tradeoffs between the amount of storage and computations, but a completely automated discovery of public version control systems may require enticing participation of the sampled projects. Such universal repository would allow studies of global properties and origins of the source code that are not possible through other means.},
	keywords = {bazaar, cvs, flossmole, git, mercurial, source code, sourceforge, subversion, version control},
	attachments = {https://flosshub.org/sites/flosshub.org/files/11amassing.pdf},
	author = {Audris Mockus}
}
@conference {German03automatingthe,
	title = {Automating the measurement of open source projects},
	booktitle = {Proceedings of the 3rd Workshop on Open Source Software Engineering},
	year = {2003},
	note = {"We have chosen to use Evolution to illustrate some of the capabilities of SoftChange. We focus on the data provided by CVS logs and the CVS commit mailing list. Our data includes changes to the CVS repository from April 1998 to January 2003."},
	pages = {63{\textendash}67},
	abstract = {The proliferation of open source projects raises a number of vital economic, social, and software engineering questions that are subject of intense research. Based on experience analyzing numerous open source and commercial projects we propose a set of tools to support extraction and validation of software project data. Such tools would streamline empirical investigation of open source projects and make it possible to test existing and new theories about the nature of open source projects. Our soft- ware includes tools to extract and summarize information from mailing lists, CVS logs, ChangeLog files, and defect tracking databases. More importantly, it cross-links records from various data sources and identifies all contributors for a software change. We illustrate some of the capabilities by analyzing data from Ximian Evolution project.},
	keywords = {bug reports, bug tracking, changelog, cvs, defects, evolution, log files, logs, mailing list, scm, softchange, source code, ximian, ximian evolution},
	attachments = {https://flosshub.org/sites/flosshub.org/files/germanMockus2003.pdf},
	author = {German, Daniel and Audris Mockus}
}
@article {121,
	title = {Two case studies of open source software development: Apache and Mozilla},
	journal = {ACM Transactions on Software Engineering and Methodology},
	volume = {11},
	number = {3},
	year = {2002},
	note = {apache data sources:
email, cvs, bug database 
regarding email: "We wrote Perl scripts to extract date, sender identity, message subject, and the message body that was further processed to obtain details on code changes and problem reports (see below). Manual inspection was used to resolve such things as multiple email addresses in cases where all automated techniques failed."
(but the rest of the paper does not address this data source at all)

mozilla data sources
bugzilla, cvs

},
	pages = {309-346},
	abstract = {According to its proponents, open source style software development has the capacity to compete successfully, and perhaps in many cases displace, traditional commercial development methods. In order to begin investigating such claims, we examine data from two major open source projects, the Apache web server and the Mozilla browser. By using email archives of source code change history and problem reports we quantify aspects of developer participation, core team size, code ownership, productivity, defect density, and problem resolution intervals for these OSS projects. We develop several hypotheses by comparing the Apache project with several commercial projects. We then test and refine several of these hypotheses, based on an analysis of Mozilla data. We conclude with thoughts about the prospects for high- performance commercial/ open source process hybrids.},
	keywords = {apache, bug fixing, bug reports, bugzilla, change history, core, defect density, email, email archives, mailing list, mozilla, ownership, participation, productivity, scm, source code},
	attachments = {https://flosshub.org/sites/flosshub.org/files/mockusFieldingHerbsleb2002.pdf},
	author = {Audris Mockus and Roy Fielding and Herbsleb, J. D.}
}
