Open Collaborative Data -- using OSS principles to share data in SW engineering

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding


Reliance on data for software systems engineering is increasing, e.g., to train machine learning applications. We foresee increasing costs for data collection and maintenance, leading to the risk of development budgets eaten up by commodity features, thus leaving little resources for differentiation and innovation. We therefore propose Open Collaborative Data (OCD) - a concept analogous to Open Source Software (OSS) - as a means to share data. In contrast to Open Data (OD), which e.g., governmental agencies provide to catalyze innovation, OCD is shared in open collaboration between commercial organizations, similar to OSS. To achieve this, there is a need for technical infrastructure (e.g., tools for version and access control), licence models, and governance models, all of which have to be tailored for data. However, as data may be sensitive for privacy, anonymization and obfuscation of data is also a research challenge. In this paper, we define the concept of Open Collaborative Data, demonstrate it by map data and image recognition examples, and outline a research agenda for OCD in software engineering as a basis for more efficient evolution of software systems.


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Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Programvaruteknik
Titel på värdpublikationProceedings of the International Conference on Software Engineering
Undertitel på gästpublikationNew Ideas and Emerging Research track
FörlagIEEE Computer Society
StatusAccepted/In press - 2019 maj 25
Peer review utfördJa
Evenemang41st International Conference on Software Engineering (ICSE), 2019 - Montreal, Kanada
Varaktighet: 2019 maj 252019 maj 31


Konferens41st International Conference on Software Engineering (ICSE), 2019


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