In nature the diversity of species and genes in ecological communities affects the functioning of these communities. Biologists have found out that more diverse communities appear to be more productive than less diverse communities. Moreover such communities appear to be more stable in the face of perturbations. In this paper, we draw the analogy between ecological communities and Open Source Software (OSS) ecosystems, and we investigate the diversity and structure of OSS communities. To address this question we use the MSR 2014 challenge dataset, which includes data from the top-10 software projects for the top programming languages on GitHub. Our findings show that OSS communities on GitHub consist of 3 types of users (core developers, active users, passive users). Moreover, we show that the percentage of core developers and active users does not change as the project grows and that the majority of members of large projects are passive users.

The process of selecting open-source software (OSS) for adoption is not straightforward as it involves exploring various sources of information to determine the quality, maturity, activity, and user support of each project. In the context of the OSSMETER project, we have developed a forge-agnostic metamodel that captures the meta-information common to all OSS projects. We specialise this metamodel for popular OSS forges in order to capture forge-specific meta-information. In this paper we present a dataset conforming to these metamodels for over 500,000 OSS projects hosted on three popular OSS forges: Eclipse, SourceForge, and GitHub. The dataset enables different kinds of automatic analysis and supports objective comparisons of cross-forge OSS alternatives with respect to a user's needs and quality requirements.

Modelling plays a vital and pervasive role in software engineering: it provides means to manage complexity via abstraction, and enables the creation of larger, more complex systems. Search-based software engineering (SBSE) offers a productive and proven approach to software engineering through automated discovery of near-optimal solutions to problems, and has proven itself to be effective on a wide variety of software-and systems engineering problems. CMSBSE 2013 was a forum allowing researchers from both communities to meet, discuss synergies and differences, and present topics related to the intersection of search and modelling. Particular goals of CMSBSE were to highlight that SBSE and modelling have substantial conceptual and technical synergy, and to identify and present opportunities in which they can be combined, whilst also aiming to grow the community working in this area.

Article HCI standards on trial: you be the jury Share on Authors: Jaclyn R. Schrier View Profile , Evelyn L. Williams View Profile , Kevin S. MacDonell View Profile , Larry A. Peterson View Profile , Paulien F. Strijland View Profile , Anna M. Wichansky View Profile , James R. Williams View Profile Authors Info & Claims CHI '92: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsJune 1992 Pages 635–638https://doi.org/10.1145/142750.143058Published:01 June 1992 1citation321DownloadsMetricsTotal Citations1Total Downloads321Last 12 Months2Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access