The focus of this paper is to review what is known about free and open source software development (FOSSD) work practices, development processes, project and community dynamics, and other socio-technical relationships. It focuses on exploring how FOSS is developed and evolved based on an extensive review of a set of empirical studies of FOSSD projects that articulate different levels of analysis. These characterize what has been analyzed in FOSSD studies across levels that examine (i) why individuals participate; (ii) resources and capabilities supporting development activities; (iii) how cooperation, coordination, and control are realized in projects; (iv) alliance formation and inter-project social networking; (v) FOSS as a multi-project software ecosystem, and (vi) FOSS as a social movement. Next, there is a discussion of limitations and constraints in the FOSSD studies so far. Last, attention shifts to identifying emerging opportunities for future FOSSD studies that can give rise to the development of new software engineering tools or techniques, as well as to new empirical studies of software development.

Software development tools primarily focus on supporting the technical work. Yet no matter the tools employed, the process followed, or the size of the team, important aspects of development are non-technical, and largely unsupported. For example, increasing distribution of development teams highlights the issues of coordination and cooperation. This paper focuses on one area: managing change requests. Interviews with industry and open-source programmers were used to create designs for the visual inspection of change requests. This paper presents fieldwork findings and two designs. We conclude by reflecting on the issues that task visualizations that support social inferences address in software development. Categories and Subject Descriptors D.2.2 [Software Engineering]: Design Tools and Techniques –

Successful online communities have complex cooperative arrangements, articulations of work, and integration practices. They require technical infrastructure to support a broad division of labor. Yet the research literature lacks empirical studies that detail which types of work are valued by participants in an online community. A content analysis of Wikipedia barnstars – personalized tokens of appreciation given to participants – reveals a wide range of valued work extending far beyond simple editing to include social support, administrative actions, and types of articulation work. Our analysis develops a theoretical lens for understanding how wiki software supports the creation of articulations of work. We give implications of our results for communities engaged in large-scale collaborations.

One of the reasons why large-scale software development is difficult is the number of dependencies that software engineers need to face: e.g., dependencies among the software components and among the development tasks. These dependencies create a need for communication and coordination that requires continuous effort by software developers. Empirical studies, including our own, suggest that technical dependencies among software components create social dependencies among the software developers implementing these components. Based on this observation, we developed Ariadne, a Java plug-in for Eclipse. Ariadne analyzes a Java project to identify program dependencies and collects authorship information about the project by connecting to a configuration management repository. Through this process, Ariadne can “translate ” technical dependencies among software components into social dependencies among software developers. This paper describes the design of Ariadne, how it identifies technical dependencies among software components, how it extracts information from configuration management systems and, finally, how it translates this into social dependencies. Ariadne’s purpose is to create a bridge between technical and social dependencies.

Studies have shown that programmers frequently seek external information during programming, from source code and documents, as well as from other programmers because much of the information remains in the heads of programmers. Programmers therefore often ask other programmers questions to seek information in a timely fashion to carry out their work. This information seeking entails several conflicting factors. From the perspective of the information-seeking programmer, not asking questions degrades productivity. Conversely, asking questions interrupts other programmers and degrades their productivity, and may be frowned upon by peers due to the perceived social inconsideration of the information seeker. From the perspective of the recipients of the question, even though helping is costly, not helping also incurs social costs due to the deviation from social norms. To balance all these factors, this paper proposes the STeP_IN (Socio-Technical Platform for In situ Networking) framework to guide the design of systems that support information seeking during different phases of programming. The framework facilitates access to the information in the heads of other programmers while minimizing the negative impacts on the overall productivity of the team.

Large-scale software engineering requires communication and collaboration to successfully build and ship products. We conducted a survey with Microsoft engineers on inter-team coordination and found that the most impactful problems concerned finding and keeping track of other engineers. Since engineers are connected by their shared work, a tool that discovers connections in their work-related repositories can help. Here we describe the Codebook framework for mining software repositories. It is flexible enough to address all of the problems identified by our survey with a single data structure (graph of people and artifacts) and a single algorithm (regular language reachability). Codebook handles a larger variety of problems than prior work, analyzes more kinds of work artifacts, and can be customized by and for end-users. To evaluate our framework’s flexibility, we built two applications, Hoozizat and Deep Intellisense. We evaluated these applications with engineers to show effectiveness in addressing multiple inter-team coordination problems. Categories and Subject Descriptors:

Open source software projects such as Apache and Mozilla present an opportunity for information visualization. Since these projects typically require collaboration between developers located far apart, the amount of electronic communication between them is large. Our goal is to apply information visualization techniques to assist software engineering scientists and project managers with analyzing the data. We present a visualization technique that provides an intuitive, time-series, interactive summary view of the the social groups that form, evolve and vanish during the entire lifetime of the project. This visualization helps software engineering researchers understand the organization, structure, and evolution of the communication and collaboration activities of a large, complex software project.

Offshore software development projects provoke new issues to the collaborative endeavor of software development due to their global distribution and involvement of various people, processes, and tools. These problems relate to the geographical distance and the associated time-zone differences; cultural, organizational, and process issues; as well as language problems. However, existing tool support is neither adequate nor grounded in empirical observations. This paper presents two empirical studies of global software development teams and their usage of tools. The results are then used to motivate and inform the construction of more useful software development tools for offshore projects. This research focuses on issues that are tool-related but have not yet been solved by existing tools. The two software tools presented as solutions, Ariadne and TraVis, explicitly address yet unresolved issues in global software development and also integrate with prevalent other solutions.

Social network-based systems usually suffer from two major limitations: they tend to rely on a single data source (e.g. email traffic), and the form of network patterns is often privileged over their content. To go beyond these limitations we describe a system we developed to visualize and navigate hybrid networks constructed from multiple data sources – with a direct link between formal representations and the raw content. We illustrate the benefits of our approach by analyzing patterns of collaboration in a large Open Source project, using hybrid networks to uncover important roles that would otherwise have been missed. Author Keywords Online communities, social networks, natural language processing, visualization. ACM Classification Keywords H5.m. Information interfaces and presentation (e.g., HCI):

Abstract not found