Open Source Software (OSS) is continuously gaining acceptance in commercial organizations. It is in this regard that those organizations strive for a better understanding of evolutionary aspects of OSS projects. The study of evolutionary patterns of OSS projects and communities has received substantial attention from the research community over the last decade. These efforts have resulted in an ample set of research results for which there is a need for up-to-date comprehensive overviews and literature surveys. This paper reports on a systematic literature survey aimed at the identification and structuring of research on evolution of OSS projects. In this review we systematically selected and reviewed 101 articles published in relevant venues. The study outcome provides insight in what constitutes the main contributions of the field, identifies gaps and opportunities, and distills several important future research directions.

Abstract. Software development requires effective communication, coordination and collaboration among developers working on interdependent modules of the same project. The need for coordination is even more evident in open source projects where development is often more dispersed and distributed. In this paper, we study the match between the coordination needs established by the technical domain (i.e. source code) and the actual coordination activities carried out by the development team, such hypothetical match is also known as socio-technical congruence. We carry out our study by empirically examining Conway's law in FreeBSD project. Our study shows that the congruence measure is significantly high in FreeBSD and that the congruence value remains stable as the project matured.

Comprehension of Open Source Software (OSS) projects is traditionally driven by the plethora of data produced and maintained by these projects. The data, in one hand, encapsulates the tacit knowledge on the evolution of the software itself. And, on the other hand, provides the history of communication and collaboration of the community. Acquisition and analysis of such data has been mostly manual or semiautomated and error-prone, mainly due to unstructured and substandard data representation. This increases the validity threat of the reported results and makes it incomparable across the studies. With the advancement of data management tools and technologies, many third party data providers are putting serious effort to provide OSS project's data in a standard and platform independent format. In this paper, we propose a framework to fully automate the analysis and visualization of OSS evolution data through the use of existing data services. As a proof of concept we implemented a tool named POMAZ. We demonstrate the applicability of the tool in the context of two related open source projects FFmpeg and GStreamer.

Abstract.We investigate the different aspects of measuring trust in Open Source Software (OSS) communities. In the theoretical part we review seminal works related to trust in OSS development. This investigation provides background to our empirical part where we measure trust in a community (in terms of kudo). Our efforts provide further avenues to develop trust-based measurement tools. These are helpful for academics and practitioners interesting in quantifiable traits of OSS trust.

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