skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: World of code: an infrastructure for mining the universe of open source VCS data
Open source software (OSS) is essential for modern society and, while substantial research has been done on individual (typically central) projects, only a limited understanding of the periphery of the entire OSS ecosystem exists. For example, how are tens of millions of projects in the periphery interconnected through technical dependencies, code sharing, or knowledge flows? To answer such questions we a) create a very large and frequently updated collection of version control data for FLOSS projects named World of Code (WoC) and b) provide basic tools for conducting research that depends on measuring interdependencies among all FLOSS projects. Our current WoC implementation is capable of being updated on a monthly basis and contains over 12B git objects. To evaluate its research potential and to create vignettes for its usage, we employ WoC in conducting several research tasks. In particular, we find that it is capable of supporting trend evaluation, ecosystem measurement, and the determination of package usage. We expect WoC to spur investigation into global properties of OSS development leading to increased resiliency of the entire OSS ecosystem. Our infrastructure facilitates the discovery of key technical dependencies, code flow, and social networks that provide the basis to determine the structure and evolution of the relationships that drive FLOSS activities and innovation.  more » « less
Award ID(s):
1633437
PAR ID:
10106629
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
MSR '19 Proceedings of the 16th International Conference on Mining Software Repositories
Page Range / eLocation ID:
143-154
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. (, ESEC/FSE '19: 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering)
    Open Source Software (OSS) forms an infrastructure on which numerous (often critical) software applications are based. Substantial research was done to investigate central projects such as Linux kernel but we have only a limited understanding of how the periphery of the larger OSS ecosystem is interconnected through technical dependencies, code sharing, and knowledge flows. We aim to close this gap by a) creating a nearly complete and rapidly updateable collection of version control data for FLOSS projects; b) by cleaning, correcting, and augmenting the data to measure several types of dependencies among code, developers, and projects; c) by creating models that rely on the resulting supply chains to investigate structural and dynamic properties of the entire OSS. The current implementation is capable of being updated each month, occupies over 300Tb of disk space with 1.5B commits and 12B git objects. Highly accurate algorithms to correct identity data and extract dependencies from the source code are used to characterize the current structure of OSS and the way it has evolved. In particular, models of technology spread demonstrate the implicit factors developers use when choosing software components. We expect the resulting research platform will both spur investigations on how the huge periphery in OSS both sustains and is sustained by the central OSS projects and, as a result, will increase resiliency and effectiveness of the OSS. 
    more » « less
  2. ; ; (, Proceedings of the ACM on Human-Computer Interaction)
    Free and/or open-source software (or F/OSS) projects now play a major and dominant role in society, constituting critical digital infrastructure relied upon by companies, academics, non-profits, activists, and more. As F/OSS has become larger and more established, we investigate the labor of maintaining and sustaining those projects at various scales. We report findings from an interview-based study with contributors and maintainers working in a wide range of F/OSS projects. Maintainers of F/OSS projects do not just maintain software code in a more traditional software engineering understanding of the term: fixing bugs, patching security vulnerabilities, and updating dependencies. F/OSS maintainers also perform complex and often-invisible interpersonal and organizational work to keep their projects operating as active communities of users and contributors. We particularly focus on how this labor of maintaining and sustaining changes as projects and their software grow and scale across many dimensions. In understanding F/OSS to be as much about maintaining a communal project as it is maintaining software code, we discuss broadly applicable considerations for peer production communities and other socio-technical systems more broadly. 
    more » « less
  3. ; ; ; ; ; (, Proceedings of the ACM on Human-Computer Interaction)
    Sustainable Open Source Software (OSS) forms much of the fabric of our digital society, especially successful and sustainable ones. But many OSS projects do not become sustainable, resulting in abandonment and even risks for the world's digital infrastructure. Prior work has looked at the reasons for this mainly from two very different perspectives. In software engineering, the focus has been on understanding success and sustainability from the socio-technical perspective: the OSS programmers' day-to-day activities and the artifacts they create. In institutional analysis, on the other hand, emphasis has been on institutional designs (e.g., policies, rules, and norms) that structure project governance. Even though each is necessary for a comprehensive understanding of OSS projects, the connection and interaction between the two approaches have been barely explored. In this paper, we make the first effort toward understanding OSS project sustainability using a dual-view analysis, by combining institutional analysis with socio-technical systems analysis. In particular, we (i) use linguistic approaches to extract institutional rules and norms from OSS contributors' communications to represent the evolution of their governance systems, and (ii) construct socio-technical networks based on longitudinal collaboration records to represent each project's organizational structure. We combined the two methods and applied them to a dataset of developer digital traces from 253 nascent OSS projects within the Apache Software Foundation (ASF) incubator. We find that the socio-technical and institutional features relate to each other, and provide complimentary views into the progress of the ASF's OSS projects. Refining these combined analyses can help provide a more precise understanding of the synchronization between the evolution of institutional governance and organizational structure. 
    more » « less
  4. ; ; ; (, IEEE International Working Conference on Mining Software Repositories)
    The data collected from open source projects provide means to model large software ecosystems, but often suffer from data quality issues, specifically, multiple author identification strings in code commits might actually be associated with one developer. While many methods have been proposed for addressing this problem, they are either heuristics requiring manual tweaking, or require too much calculation time to do pairwise comparisons for 38M author IDs in, for example, the World of Code collection. In this paper, we propose a method that finds all author IDs belonging to a single developer in this entire dataset, and share the list of all author IDs that were found to have aliases. To do this, we first create blocks of potentially connected author IDs and then use a machine learning model to predict which of these potentially related IDs belong to the same developer. We processed around 38 million author IDs and found around 14.8 million IDs to have an alias, which belong to 5.4 million different developers, with the median number of aliases being 2 per developer. This dataset can be used to create more accurate models of developer behaviour at the entire OSS ecosystem level and can be used to provide a service to rapidly resolve new author IDs. 
    more » « less
  5. ; ; (, ACM)
    Recent work on open source sustainability shows that successful trajectories of projects in the Apache Software Foundation Incubator (ASFI) can be predicted early on, using a set of socio-technical measures. Because OSS projects are socio-technical systems centered around code artifacts,we hypothesize that sustainable projects may exhibit different code and process patterns than unsustainable ones, and that those patterns can grow more apparent as projects evolve over time. Here we studied the code and coding processes of over 200 ASFI projects, and found that ASFI graduated projects have different patterns of code quality and complexity than retired ones. Likewise for the coding processes – e.g., feature commits or bug-fixing commits are correlated with project graduation success. We find that minor contributors and major contributors (who contribute <5%, respectively >=95% commits) associate with graduation outcomes, implying that having also developers who contribute fewer commits are important for a project’s success. This study provides evidence that OSS projects, especially nascent ones, can benefit from introspection and instrumentation using multidimensional modeling of the whole system, including code, processes, and code quality measures, and how they are interconnected over time. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email