@article {1324,
	title = {Are Developers Fixing Their Own Bugs?},
	journal = {International Journal of Open Source Software and Processes},
	volume = {3},
	year = {2011},
	note = {"The analysis is focused at the level of lines of code and it uses the information stored in the source code management system"},
	pages = {23 - 42},
	abstract = {The process of fixing software bugs plays a key role in the maintenance activities of a software project. Ideally, code ownership and responsibility should be enforced among developers working on the same artifacts, so that those introducing buggy code could also contribute to its fix. However, especially in FLOSS projects, this mechanism is not clearly understood: in particular, it is not known whether those contributors fixing a bug are the same introducing and seeding it in the first place. This paper analyzes the comm-central FLOSS project, which hosts part of the Thunderbird, SeaMonkey, Lightning extensions and Sunbird projects from the Mozilla community. The analysis is focused at the level of lines of code and it uses the information stored in the source code management system. The results of this study show that in 80\% of the cases, the bug-fixing activity involves source code modified by at most two developers. It also emerges that the developers fixing the bug are only responsible for 3.5\% of the previous modifications to the lines affected; this implies that the other developers making changes to those lines could have made that fix. In most of the cases the bug fixing process in comm-central is not carried out by the same developers than those who seeded the buggy code.},
	keywords = {bug fixing, developers, loc, scm},
	issn = {1942-3934},
	doi = {10.4018/jossp.2011040102},
	author = {Izquierdo-Cortazar, Daniel and Capiluppi, Andrea and Jesus M. Gonzalez-Barahona}
}
@article {10.1109/HICSS.2009.1014,
	title = {Using Software Archaeology to Measure Knowledge Loss in Software Projects Due to Developer Turnover},
	journal = {2009 42nd Hawaii International Conference on System Sciences (HICSS 2009)},
	year = {2009},
	pages = {1-10},
	publisher = {IEEE Computer Society},
	address = {Los Alamitos, CA, USA},
	abstract = {Developer turnover can result in a major problem when developing software. When senior developers abandon a software project, they leave a knowledge gap that has to be managed. In addition, new (junior) developers require some time in order to achieve the desired level of productivity. In this paper, we present a methodology to measure the effect of knowledge loss due to developer turnover in software projects. For a given software project, we measure the quantity of code that has been authored by developers that do not belong to the current development team, which we define as orphaned code. Besides, we study how orphaned code is managed by the project. Our methodology is based on the concept of software archaeology, a derivation of software evolution. As case studies we have selected four FLOSS (free, libre, open source software) projects, from purely driven by volunteers to company-supported. The application of our methodology to these case studies will give insight into the turnover that these projects suffer and how they have managed it and shows that this methodology is worth being augmented in future research.},
	keywords = {attrition, case study, developers, evince, evolution, gimp, growth, knowledge collaboration, lines of code, nautilus, quality, sloc, turnover},
	isbn = {978-0-7695-3450-3},
	doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2009.1014},
	attachments = {https://flosshub.org/sites/flosshub.org/files/07-07-08.pdf},
	author = {Izquierdo-Cortazar, Daniel and Gregorio Robles and Ortega, Felipe and Jesus M. Gonzalez-Barahona}
}
@conference {1006,
	title = {Towards a Theoretical Model for Software Growth},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {21 - 21},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {Software growth (and more broadly, software evolution) is usually considered in terms of size or complexity of source code. However in different studies, usually different metrics are used, which make it difficult to compare approaches and results. In addition, not all metrics are equally easy to calculate for a given source code, which leads to the question of which one is the easiest to calculate without losing too much information. To address both issues, in this paper present a comprehensive study, based on the analysis of about 700,000 C source code files, calculating several size and complexity metrics for all of them. For this sample, we have found double Pareto statistical distributions for all metrics considered, and a high correlation between any two of them. This would imply that any model addressing software growth should produce this Pareto distributions, and that analysis based on any of the considered metrics should show a similar pattern, provided the sample of files considered is large enough.},
	keywords = {C, complexity, evolution, freebsd, growth, halstead, lines of code, loc, mccabe, metrics, scm, size, sloc, sloccount, source code},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.31},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300021.pdf},
	author = {Herraiz, Israel and Jesus M. Gonzalez-Barahona and Gregorio Robles}
}
@conference {Robles:2006:GLD:1137983.1138017,
	title = {Geographic location of developers at SourceForge},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {144{\textendash}150},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {The development of libre (free/open source) software is usually performed by geographically distributed teams. Participation in most cases is voluntary, sometimes sporadic, and often not framed by a pre-defined management structure. This means that anybody can contribute, and in principle no national origin has advantages over others, except for the differences in availability and quality of Internet connections and language. However, differences in participation across regions do exist, although there are little studies about them. In this paper we present some data which can be the basis for some of those studies. We have taken the database of users registered at SourceForge, the largest libre software development web-based platform, and have inferred their geographical locations. For this, we have applied several techniques and heuristics on the available data (mainly e-mail addresses and time zones), which are presented and discussed in detail. The results show a snapshot of the regional distribution of SourceForge users, which may be a good proxy of the actual distribution of libre software developers. In addition, the methodology may be of interest for similar studies in other domains, when the available data is similar (as is the case of mailing lists related to software projects).},
	keywords = {distributed, email, email address, free software, geographical location, geography, libre software, mining software repositories, open source software, sourceforge, timezone},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1138017},
	url = {http://doi.acm.org/10.1145/1137983.1138017},
	attachments = {https://flosshub.org/sites/flosshub.org/files/144GeographicLocation.pdf},
	author = {Gregorio Robles and Jesus M. Gonzalez-Barahona}
}
@conference {Robles:2006:MLS:1137983.1137986,
	title = {Mining large software compilations over time: another perspective of software evolution},
	booktitle = {Proceedings of the 2006 international workshop on Mining software repositories},
	series = {MSR {\textquoteright}06},
	year = {2006},
	pages = {3{\textendash}9},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {With the success of libre (free, open source) software, a new type of software compilation has become increasingly common. Such compilations, often referred to as {\textquoteright}distributions{\textquoteright}, group hundreds, if not thousands, of software applications and libraries written by independent parties into an integrated system. Software compilations raise a number of questions that have not been targeted so far by software evolution, which usually focuses on the evolution of single applications. Undoubtedly, the challenges that software compilations face differ from those found in single software applications. Nevertheless, it can be assumed that both, the evolution of applications and that of software compilations, have similarities and dependencies.In this sense, we identify a dichotomy, common to that in economics, of software evolution in the small (micro-evolution) and in the large (macro-evolution). The goal of this paper is to study the evolution of a large software compilation, mining the publicly available repository of a well-known Linux distribution, Debian. We will therefore investigate changes related to hundreds of millions of lines of code over seven years. The aspects that will be covered in this paper are size (in terms of number of packages and of number of lines of code), use of programming languages, maintenance of packages and file sizes.},
	keywords = {debian, distributions, evolution, large software collections, lines of code, loc, metrics, mining software repositories, size, sloc, sloccount, software evolution, software integrators},
	isbn = {1-59593-397-2},
	doi = {http://doi.acm.org/10.1145/1137983.1137986},
	url = {http://doi.acm.org/10.1145/1137983.1137986},
	attachments = {https://flosshub.org/sites/flosshub.org/files/3miningLarge.pdf},
	author = {Gregorio Robles and Jesus M. Gonzalez-Barahona and Martin Michlmayr and Amor, Juan Jose}
}
@booklet {Lopez-Fernandez_applyingsocial,
	title = {Applying Social Network Analysis to the Information in CVS Repositories},
	howpublished = {International Workshop on Mining Software Repositories (MSR 2004)},
	year = {2004},
	pages = {101-105},
	abstract = {The huge quantities of data available in the CVS repositories of large, long-lived libre (free, open source) software projects, and the many interrelationships among those data offer opportunities for extracting large amounts of valuable information about their structure, evolution and internal processes. Unfortunately, the sheer volume of that information renders it almost unusable without applying methodologies which highlight the relevant information for a given aspect of the project. In this paper, we propose the use of a well known set of methodologies (social network analysis) for characterizing libre software projects, their evolution over time and their internal structure. In addition, we show how we have applied such methodologies to real cases, and extract some preliminary conclusions from that experience.},
	keywords = {apache, complex networks, cvs, gnome, kde, libre software engineering, source code, source code repositories, visualization techniques, vizualization},
	attachments = {https://flosshub.org/sites/flosshub.org/files/101ApplyingSocial.pdf},
	author = {L{\'o}pez-Fern{\'a}ndez, L. and Gregorio Robles and Jesus M. Gonzalez-Barahona}
}
