219,012 research outputs found

    Cybernetics of Conflict within Multi-Partner Technology and Software Engineering Programmes

    Get PDF
    Large technology and software engineering programmes, such as enterprise system pro- grammes, are increasingly implemented through a mixture of customer and specialist third-party resources. These multi-partner working environments can be thought of as a complex social system, which oftentimes experience various forms of conflict. This can be due to competing objectives and priorities of the various organizations, along with incompatibilities of team members within the work-based social network of the implementation programme. If not brought under control, conflict can lead to complex emergent behaviours and dynamics within the wider social network, which can severely impact the likelihood of successful programme implementation of these software-intensive systems. Using social network analysis and thematic coding analysis within a case study, we show that the project management of complex software-intensive implementations requires considerable focus on control and communication across the programme-wide social network of team members, which we represent as a cybernetic system. A conceptual framework has been developed that extends extant literature around conflict in teams by framing the individual projects and the overall programme-wide implementation as cybernetic systems. The conceptual framework illustrates how a cybernetics approach to conflict within enterprise system implementations, can provide new insights into how conflict develops within project teams. Finally, we argue that the cybernetic approach allows us to develop project management interventions to mitigate the risk of conflict development, or control and regulate conflict once it has developed. We conclude by setting the agenda for future research on how conflict can be controlled within the implementation of software-intensive systems, such as enterprise systems

    git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories

    Full text link
    Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature is the inference of developer networks capturing e.g. collaboration, coordination, or communication from the commit history of projects. Most of the studied networks are based on the co-authorship of software artefacts defined at the level of files, modules, or packages. While this approach has led to insights into the social aspects of software development, it neglects detailed information on code changes and code ownership, e.g. which exact lines of code have been authored by which developers, that is contained in the commit log of software projects. Addressing this issue, we introduce git2net, a scalable python software that facilitates the extraction of fine-grained co-editing networks in large git repositories. It uses text mining techniques to analyse the detailed history of textual modifications within files. This information allows us to construct directed, weighted, and time-stamped networks, where a link signifies that one developer has edited a block of source code originally written by another developer. Our tool is applied in case studies of an Open Source and a commercial software project. We argue that it opens up a massive new source of high-resolution data on human collaboration patterns.Comment: MSR 2019, 12 pages, 10 figure
    corecore