@inbook {1730,
	title = {An Empirical Study of the Relation Between Strong Change Coupling and Defects Using History and Social Metrics in the Apache Aries Project},
	booktitle = {Open Source Systems: Adoption and Impact},
	series = {IFIP Advances in Information and Communication Technology},
	volume = {451},
	year = {2015},
	pages = {3-12},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	abstract = {Change coupling is an implicit relationship observed when artifacts change together during software evolution. The literature leverages change coupling analysis for several purposes. For example, researchers discovered that change coupling is associated with software defects and reveals relationships between software artifacts that cannot be found by scanning code or documentation. In this paper, we empirically investigate the strongest change couplings from the Apache Aries project to characterize and identify their impact in software development. We used historical and social metrics collected from commits and issue reports to build classification models to identify strong change couplings. Historical metrics were used because change coupling is a phenomenon associated with recurrent co-changes found in the software history. In turn, social metrics were used because developers often interact with each other in issue trackers to accomplish the tasks. Our classification models showed high accuracy, with 70-99 \% F-measure and 88-99 \% AUC. Using the same set of metrics, we also predicted the number of future defects for the artifacts involved in strong change couplings. More specifically, we were able to predict 45.7 \% of defects where these strong change couplings reoccurred in the post-release. These findings suggest that developers and projects managers should detect and monitor strong change couplings, because they can be associated with defects and tend to happen again in the subsequent release.},
	isbn = {978-3-319-17836-3},
	doi = {10.1007/978-3-319-17837-0_1},
	url = {http://dx.doi.org/10.1007/978-3-319-17837-0_1},
	author = {Wiese, Igor Scaliante and Kuroda, Rodrigo Takashi and Re, Reginaldo and Oliva, Gustavo Ansaldi and Gerosa, MarcoAur{\'e}lio},
	editor = {Damiani, Ernesto and Frati, Fulvio and Dirk Riehle and Wasserman, Anthony I.}
}
@inbook {1734,
	title = {Examining Usability Work and Culture in OSS},
	booktitle = {Open Source Systems: Adoption and Impact},
	series = {IFIP Advances in Information and Communication Technology},
	volume = {451},
	year = {2015},
	pages = {58-67},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	abstract = {Organizational culture has been recognized as an influential factor affecting the successes and failures of usability work in organizations; however, there is a lack of research on organizational culture in open source software (OSS) development. This paper shows that there are different kinds of cultures in OSS development projects and builds propositions on the relationship between culture and usability work in OSS development projects. Partly those are derived from the literature, partly from an exploratory empirical inquiry. We speculate whether there is an ideal culture type for usability work in OSS development or whether usability work should be modified to fit the different cultures of OSS development projects.
},
	keywords = {culture, empirical study, open source software, Usability},
	isbn = {978-3-319-17836-3},
	doi = {10.1007/978-3-319-17837-0_6},
	url = {http://dx.doi.org/10.1007/978-3-319-17837-0_6},
	author = {Rajanen, Mikko and Iivari, Netta},
	editor = {Damiani, Ernesto and Frati, Fulvio and Dirk Riehle and Wasserman, Anthony I.}
}
@article {1856,
	title = {The Economic Case for Open Source Foundations},
	journal = {Computer},
	volume = {43},
	year = {2010},
	month = {01/2010},
	pages = {86 - 90},
	abstract = {An open source foun-da-tion is a group of peo-ple and com-pa-nies that has come together to jointly develop com-mu-nity open source soft-ware. Exam-ples include the Apache Soft-ware Foun-da-tion, the Eclipse Foun-da-tion, and the Gnome Foun-da-tion. There are many rea-sons why soft-ware devel-op-ment firms join and sup-port a foun-da-tion. One com-mon eco-nomic moti-va-tion is to save costs in the devel-op-ment of the soft-ware by spread-ing them over the par-tic-i-pat-ing par-ties. How-ever, this is just the begin-ning. Beyond shar-ing costs, par-tic-i-pat-ing firms can increase their rev-enue through the pro-vi-sion and increased sale of com-ple-men-tary prod-ucts. Also, by estab-lish-ing a suc-cess-ful open source plat-form, soft-ware firms can com-pete more effec-tively across tech-nol-ogy stacks and thereby increase their address-able mar-ket. Not to be neglected, com-mu-nity open source soft-ware is a com-mon good, cre-at-ing increased gen-eral wel-fare and hence good-will for the involved com-pa-nies.},
	issn = {0018-9162},
	doi = {10.1109/MC.2010.24},
	url = {http://dirkriehle.com/2010/01/06/the-economic-case-for-open-source-foundations/},
	author = {Dirk Riehle}
}
@conference {579,
	title = {Estimating Commit Sizes Efficiently},
	booktitle = {OSS2009: Open Source Ecosystems: Diverse Communities Interacting (IFIP 2.13)},
	series = {IFIP Advances in Information and Communication Technology },
	volume = {299/2009},
	year = {2009},
	month = {2009///},
	pages = {105 - 115},
	publisher = {Springer},
	organization = {Springer},
	chapter = {11},
	abstract = {The quantitative analysis of software projects can provide insights that let us better understand open source and other software development projects. An important variable used in the analysis of software projects is the amount of work being contributed, the commit size. Unfortunately, post-facto, the commit size can only be estimated, not measured. This paper presents several algorithms for estimating the commit size. Our performance evaluation shows that simple, straightforward heuristics are superior to the more complex text-analysis-based algorithms. Not only are the heuristics significantly faster to compute, they also deliver more accurate results when estimating commit sizes. Based on this experience, we design and present an algorithm that improves on the heuristics, can be computed equally fast, and is more accurate than any of the prior approaches.
},
	issn = {978-3-642-02031-5},
	doi = {http://dx.doi.org/10.1007/978-3-642-02032-2_11},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Estimating\%20Commit\%20Sizes\%20Effciently.pdf},
	author = {Hofmann, Philipp and Dirk Riehle}
}
@booklet {492,
	title = {The Economic Motivation of Open Source: Stakeholder Perspectives},
	year = {2007},
	month = {April},
	abstract = {Open source software has changed the rules of the game, impacting significantly the economic behavior of stakeholders in the software ecosystem. In this new environment, developers strive to be committers, vendors feel pressure to produce open source products, and system integrators anticipate boosting profits.},
	attachments = {https://flosshub.org/sites/flosshub.org/files/computer-2007.pdf},
	author = {Dirk Riehle}
}
