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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Of Cyborg Developers and Big Brother Programming AI
Organization Unit
  • Carol Alexandru
  • Harald Gall
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Event Title The Hawaii International Conference on System Sciences
Event Type conference
Event Location Hawaii, USA
Event Start Date January 3 - 2018
Event End Date January 6 - 2018
Place of Publication Hawaii, USA
Publisher s.n.
Abstract Text The main reason modern machine learning mechanisms outperform hand-crafted solutions is the availability of high-quality data in large quantities. We observe that although many day-to-day activities in software engineering (such as bug triaging, reverting regressions, or even implementing code for properly scoped problems) could possibly be automated, we lack the necessary monitoring tools to capture all relevant information. Bug trackers and version control rely mostly on plain text, and specifications are informal or at best semi-structured. After setting the stage via a short excursion to the year 2047, we discuss how a ubiquitous AI, which can learn from every interaction a human developer has with a machine, could take over more and more of the mundane responsabilities in software engineering. We outline how this change will affect software engineering practice as well as education.
Other Identification Number merlin-id:15273
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