11,744 research outputs found

    A-posteriori provenance-enabled linking of publications and datasets via crowdsourcing

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    This paper aims to share with the digital library community different opportunities to leverage crowdsourcing for a-posteriori capturing of dataset citation graphs. We describe a practical approach, which exploits one possible crowdsourcing technique to collect these graphs from domain experts and proposes their publication as Linked Data using the W3C PROV standard. Based on our findings from a study we ran during the USEWOD 2014 workshop, we propose a semi-automatic approach that generates metadata by leveraging information extraction as an additional step to crowdsourcing, to generate high-quality data citation graphs. Furthermore, we consider the design implications on our crowdsourcing approach when non-expert participants are involved in the process<br/

    A survey of the use of crowdsourcing in software engineering

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    The term 'crowdsourcing' was initially introduced in 2006 to describe an emerging distributed problem-solving model by online workers. Since then it has been widely studied and practiced to support software engineering. In this paper we provide a comprehensive survey of the use of crowdsourcing in software engineering, seeking to cover all literature on this topic. We first review the definitions of crowdsourcing and derive our definition of Crowdsourcing Software Engineering together with its taxonomy. Then we summarise industrial crowdsourcing practice in software engineering and corresponding case studies. We further analyse the software engineering domains, tasks and applications for crowdsourcing and the platforms and stakeholders involved in realising Crowdsourced Software Engineering solutions. We conclude by exposing trends, open issues and opportunities for future research on Crowdsourced Software Engineering

    Crisis Analytics: Big Data Driven Crisis Response

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    Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point. There is great optimism that big data tools can be leveraged to process the large amounts of crisis-related data (in the form of user generated data in addition to the traditional humanitarian data) to provide an insight into the fast-changing situation and help drive an effective disaster response. This article introduces the history and the future of big crisis data analytics, along with a discussion on its promise, challenges, and pitfalls

    Crowdsourcing in Software Development: A State-of-the-Art Analysis

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    As software development cycles become shorter and shorter, while software complexity increases and IT budgets stagnate, many companies are looking for new ways of acquiring and sourcing knowledge outside their boundaries. One promising solution to aggregate know-how and manage large distributed teams in software development is crowdsourcing. This paper analyzes the existing body of knowledge regarding crowdsourcing in software development. As a result, we propose a fundamental framework with five dimensions to structure the existing insights of crowdsourcing in the context of software development and to derive a research agenda to guide further research
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