20190611-Survey Results SurveyDesignEngineerSystemComplexityFactors
Seth Bullock, Matthew Potts
Abstract
Seth Bullock, Matthew Potts
Abstract
This dataset contains the results of a survey entitled "When we attempt to design and engineer a novel system, which aspects of the system’s complexity are most significant for the project’s success or failure?", distributed to members of the International Council of Systems Engineers (INCOSE) between 11th March 2019 to 10th June 2019. The data is used to contribute towards a PhD in Systems Engineering being carried out at the University of Bristol as part of an Engineering and Physical Sciences Research Council (EPSRC) funded project (iCASE 16000139) entitled `Ensuring Flexible Design Strategies for Complex Systems Engineering'. You can find the survey at https://data.bris.ac.uk/datasets/2mlbi0pc4rdiy250iavo7uh0om/20190611-SurveyDesignEngineerSystemComplexityFactors.pdf.
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This dataset contains the results of a survey entitled "When we attempt to design and engineer a novel system, which aspects of the system’s complexity are most significant for the project’s success or failure?", distributed to members of the International Council of Systems Engineers (INCOSE) between 11th March 2019 to 10th June 2019. The data is used to contribute towards a PhD in Systems Engineering being carried out at the University of Bristol as part of an Engineering and Physical Sciences Research Council (EPSRC) funded project (iCASE 16000139) entitled `Ensuring Flexible Design Strategies for Complex Systems Engineering'. You can find the survey at https://data.bris.ac.uk/datasets/2mlbi0pc4rdiy250iavo7uh0om/20190611-SurveyDesignEngineerSystemComplexityFactors.pdf.
Key concepts: Computer science, Geography