@article {1385,
	title = {Survival analysis on the duration of open source projects},
	journal = {Information and Software Technology},
	volume = {52},
	year = {2010},
	note = {"For the purposes of our study we used data coming only from source code repositories."},
	month = {9/2010},
	pages = {902 - 922},
	abstract = {Context

Open source (FLOSS) project survivability is an important piece of information for many open source stakeholders. Coordinators of open source projects would like to know the chances for the survival of the projects they coordinate. Companies are also interested in knowing how viable a project is in order to either participate or invest in it, and volunteers want to contribute to vivid projects.
Objective

The purpose of this article is the application of survival analysis techniques for estimating the future development of a FLOSS project.
Method

In order to apply such approach, duration data regarding FLOSS projects from the FLOSSMETRICS (This work was partially supported by the European Community{\textquoteright}s Sixth Framework Program under the Contract FP6-033982) database were collected. Such database contains metadata for thousands of FLOSS projects, derived from various forges. Subsequently, survival analysis methods were employed to predict the survivability of the projects, i.e. their probability of continuation in the future, by examining their duration, combined with other project characteristics such as their application domain and number of committers.
Results

It was shown how probability of termination or continuation may be calculated and how a prediction model may be built to upraise project future. In addition, the benefit of adding more committers to FLOSS projects was quantified.
Conclusion

Analysis results demonstrate the usefulness of the proposed framework for assessing the survival probability of a FLOSS project.
},
	keywords = {flossmetrics, prediction, source code, survival analysis},
	issn = {09505849},
	doi = {10.1016/j.infsof.2010.05.001},
	author = {Samoladas, Ioannis and Lefteris Angelis and Ioannis Stamelos}
}
@conference {1211,
	title = {Are FLOSS developers committing to CVS/SVN as much as  they are talking in mailing lists? Challenges for Integrating  data from Multiple Repositories},
	booktitle = {3rd Workshop on Public Data about Software Development (WoPDaSD 2008)},
	year = {2008},
	month = {09/2008},
	pages = {49-54},
	abstract = {This paper puts forward a framework for investigating Free and Open Source Software (F/OSS) developers activities in both source code and mailing lists repositories. We used data dumps of fourteen pro jects from the FLOSSMetrics (FM) retrieval system. Our intentions are (i) to present a possible methodology, its advantages and disadvantages which can benefit future researchers using some aspects of the FM retrieval system{\textquoteright}s data dumps, and (ii) discuss our initial research results on the contributions developers make to both coding and lists activities.},
	keywords = {cvs, cvsanaly, developers, email, email archives, flossmetrics, mailing list, mlstats, source code},
	attachments = {https://flosshub.org/sites/flosshub.org/files/49-542008.pdf},
	author = {Sowe, Sulayman K. and Samoladas, Ioannis and Ioannis Stamelos and Lefteris Angelis}
}
@conference {SGKL09,
	title = {Evaluating the Quality of Open Source Software},
	booktitle = {Electronic Notes in Theoretical Computer Science},
	volume = {233},
	year = {2008},
	note = {"the software source code and the associated data stored in the version control system, the bug tracking databases, the mailing lists, and the wikis allow us to evaluate quality in a transparent way"
"The data collection system collects the raw data from open source projects"
Mailing lists are measured in: Number of unique subscribers, Number of messages in user/support list per month, Number of messages in developers list per month, Average thread depth},
	month = {03/2009},
	pages = {5{\textendash}28},
	publisher = {The Reengineering Forum},
	organization = {The Reengineering Forum},
	abstract = {Traditionally, research on quality attributes was either kept under wraps within the organization that performed it, or carried out by outsiders using narrow, black-box techniques. The emergence of open source software has changed this picture allowing us to evaluate both software products and the processes that yield them. Thus, the software source code and the associated data stored in the version control system, the bug tracking databases, the mailing lists, and the wikis allow us to evaluate quality in a transparent way. Even better, the large number of (often competing) open source projects makes it possible to contrast the quality of comparable systems serving the same domain. Furthermore, by combining historical source code snapshots with significant events, such as bug discoveries and fixes, we can further dig into the causes and effects of problems. Here we present motivating examples, tools, and techniques that can be used to evaluate the quality of open source (and by extension also proprietary) software. },
	keywords = {bug tracking system, email, email archives, mailing list, metrics, open source, process quality attributes, product quality attributes, source code, SQO-OSS, wiki},
	doi = {10.1016/j.entcs.2009.02.058},
	url = {http://www.dmst.aueb.gr/dds/pubs/conf/2008-SQM-SQOOSS/html/SGKL09.html},
	attachments = {https://flosshub.org/sites/flosshub.org/files/entcs-sqooss.pdf},
	author = {Diomidis Spinellis and Gousios, Georgios and Vassilios Karakoidas and Panagiotis Louridas and Paul J. Adams and Samoladas, Ioannis and Ioannis Stamelos}
}
@conference {546,
	title = {The SQO-OSS Quality Model: Measurement Based Open Source Software Evaluation},
	booktitle = {OSS2008: Open Source Development, Communities and Quality (IFIP 2.13)},
	series = {IFIP International Federation for Information Processing},
	volume = {275/2008},
	year = {2008},
	month = {2008///},
	pages = {237 - 248},
	publisher = {Springer},
	organization = {Springer},
	chapter = {19},
	abstract = {Software quality evaluation has always been an important part of software business. The quality evaluation process is usually based on hierarchical quality models that measure various aspects of software quality and deduce a characterization of the product quality being evaluated. The particular nature of open source software has rendered existing models inappropriate for detailed quality evaluations. In this paper, we present a hierarchical quality model that evaluates source code and community processes, based on automatic calculation of metric values and their correlation to a set of predefined quality profiles.1
},
	issn = {978-0-387-09683-4},
	doi = {http://dx.doi.org/10.1007/978-0-387-09684-1_19},
	attachments = {https://flosshub.org/sites/flosshub.org/files/SQO-OSS\%20Quality\%20Model.pdf},
	author = {Samoladas, Ioannis and Gousios, Georgios and Diomidis Spinellis and Ioannis Stamelos}
}
@book {1803,
	title = {Emerging Free and Open Source Software PracticesVolunteers in Large Libre Software Projects},
	series = {Emerging Free and Open Source Software Practices},
	year = {2007},
	pages = {1 - 24},
	publisher = {IGI Global},
	organization = {IGI Global},
	abstract = {Most libre (free, open source) software projects rely on the work of volunteers. Therefore, attracting people who contribute their time and technical skills is of paramount importance, both in technical and economic terms. This reliance on volunteers leads to some fundamental management challenges: Volunteer contributions are inherently difficult to predict, plan, and manage, especially in the case of large projects. In this chapter we present an analysis of the evolution over time of the human resources in large libre software projects, using the Debian project, one of the largest and most complex libre software projects based mainly in voluntary work, as a case study. We have performed a quantitative investigation of data corresponding to roughly seven years, studying how volunteer involvement has affected the software released by the project, and the developer community itself.
},
	doi = {10.4018/978-1-59904-210-7.ch001},
	url = {http://www.igi-global.com/chapter/volunteers-large-libre-software-projects/10080},
	author = {Gregorio Robles and Gonz{\'a}lez-Barahona, Jes{\'u}s M. and Martin Michlmayr},
	editor = {Sowe, Sulayman K. and Stamelos, Ioannis G. and Samoladas, Ioannis}
}
@conference {1214,
	title = {A Preliminary Analysis of Publicly Available FLOSS Measurements: Towards Discovering Maintainability Trends},
	booktitle = {2nd Workshop on Public Data about Software Development (WoPDaSD 2007)},
	year = {2007},
	note = {used SourceKibitzer data downloaded from FLOSSmole},
	month = {2007},
	abstract = {The spread of free/libre/open source software (FLOSS) and the openness of its development model offer researchers a valuable source of information regarding software data. The creation of large portals, which host a vast amount of FLOSS projects make it easy to create large datasets with valuable information regarding the FLOSS development process. In addition initiatives such as FLOSSMole provide researchers with a single point and continuing access to those data. Up to now the majority of datasets from FLOSSMole offered data regarding the development process and not the code itself. From February 2007 FLOSSMole offers data donated 
by SourceKibitzer, which contain source code metrics for FLOSS projects written in Java. In this paper we provide 
a premilinary analysis on those data using machine learning techniques, such as classification rules and decision trees. Using the first available data from February 2007, we tried to build rules that can be used in order to estimate the future values of metrics offered for March. Here we present some preliminary results that are encouraging and deserve to be further analyzed in future releases of SourceKibitzer datasets. },
	keywords = {decision tree, flossmole, java, machine learning, metrics, sourcekibitzer},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Samolades2007.pdf},
	author = {Samoladas, Ioannis and Bibi, Stamatia and Ioannis Stamelos and Sowe, Sulayman K. and Deligiannis, Ignatios}
}
@article {64,
	title = {Study~of~Available~Tools },
	year = {2007},
	institution = {FLOSSmetrics},
	type = {EU Framework deliverable},
	isbn = {D1.1},
	url = {http://flossmetrics.org/sections/deliverables/docs/deliverables/WP1/D1.1- Study_of_Available_Tools.pdf},
	author = {Antoniades, Ionannis~ and Samoladas, Ioannis and Sowe, Sulayman K. and Gregorio Robles and Koch, Stefan and Fraczek, Ksenia and Hadzisalihovic, Anis}
}
@article {flosswp219,
	title = {Assessing Free/Open Source Software Quality},
	year = {2003},
	month = {May},
	abstract = {According to its proponents, one of the most acclaimed advantages of Free/Open Source Software (F/OSS) is its superior quality. However, this suggestion is an open issue, since there is little concrete evidence to justify whether F/OSS quality is indeed better or worse than that of proprietary software products. The general perspective of this article is to discuss the current status of F/OSS quality and to assess its performance in various aspects of quality, based on existing literature. Specifically, this article will provide some answers to various questions raised by the assertion concerning the quality of F/OSS. In this regard issues addressed in this article include the quality framework, through which F/OSS quality should be investigated and the performance of F/OSS in various quality factors within this quality framework. Answers to these issues are given by providing evidence from various research papers, empirical studies and reports based on experience about the quality of F/OSS products. The overall results seem to indicate that F/OSS has achieved an acceptable level of quality, although there is more to be done in order to outperform proprietary software.},
	attachments = {https://flosshub.org/sites/flosshub.org/files/samoladasstamelos.pdf},
	author = {Samoladas, Ioannis}
}
