Mind the gap can and should software engineering data sharing become a path of less resistance?
The facility to process data is, arguably, the defining capability underpinning the transformative power of software: the relationships of each to the other are deep and extensive. This is reflected in the degree to which both software engineering practitioners and researchers rely upon data to dire...
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| Published in: | 2018 IEEE ACM 40th International Conference on Software Engineering Software Engineering in Practice Track (ICSE SEIP) pp. 43 - 44 |
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| Format: | Conference Proceeding |
| Language: | English |
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New York, NY, USA
ACM
27.05.2018
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| ISBN: | 9781450356596, 1450356591 |
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| Abstract | The facility to process data is, arguably, the defining capability underpinning the transformative power of software: the relationships of each to the other are deep and extensive. This is reflected in the degree to which both software engineering practitioners and researchers rely upon data to direct their endeavours. Ironically however, while both the industrial and research communities are dependent upon data these dependencies present a dichotomy. Practitioners can suffer an abundance of data, much of it dark, which they struggle to interpret and apply beneficially. Isolated by gaps between industry and academia researchers often find themselves lacking data, watching as their industrial counterparts pursue a different and distinct course of action.
Integrating evidence with experience gained in practice and through engagement with research this talk offers an industrial perspective on whether this situation can be improved upon; and what the benefits of achieving this outcome, particularly for practitioners, might be. |
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| AbstractList | The facility to process data is, arguably, the defining capability underpinning the transformative power of software: the relationships of each to the other are deep and extensive. This is reflected in the degree to which both software engineering practitioners and researchers rely upon data to direct their endeavours. Ironically however, while both the industrial and research communities are dependent upon data these dependencies present a dichotomy. Practitioners can suffer an abundance of data, much of it dark, which they struggle to interpret and apply beneficially. Isolated by gaps between industry and academia researchers often find themselves lacking data, watching as their industrial counterparts pursue a different and distinct course of action.
Integrating evidence with experience gained in practice and through engagement with research this talk offers an industrial perspective on whether this situation can be improved upon; and what the benefits of achieving this outcome, particularly for practitioners, might be. The facility to process data is, arguably, the defining capability underpinning the transformative power of software: the relationships of each to the other are deep and extensive. This is reflected in the degree to which both software engineering practitioners and researchers rely upon data to direct their endeavours. Ironically however, while both the industrial and research communities are dependent upon data these dependencies present a dichotomy. Practitioners can suffer an abundance of data, much of it dark, which they struggle to interpret and apply beneficially. Isolated by gaps between industry and academia researchers often find themselves lacking data, watching as their industrial counterparts pursue a different and distinct course of action. Integrating evidence with experience gained in practice and through engagement with research this talk offers an industrial perspective on whether this situation can be improved upon; and what the benefits of achieving this outcome, particularly for practitioners, might be. |
| Author | Wallace, Ken |
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| Keywords | evaluation assessment digital commons data industrial practice defects software engineering evidence informed |
| Language | English |
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| Snippet | The facility to process data is, arguably, the defining capability underpinning the transformative power of software: the relationships of each to the other... |
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| SubjectTerms | Assessment Computer science Data Defects Digital Commons Evaluation Evidence Informed General and reference -- Cross-computing tools and techniques -- Evaluation General and reference -- Cross-computing tools and techniques -- Measurement General and reference -- Cross-computing tools and techniques -- Metrics Industrial Practice Information systems -- Information systems applications -- Data mining Medical services Resistance Safety Software Software and its engineering Software engineering Software measurement |
| Subtitle | can and should software engineering data sharing become a path of less resistance? |
| Title | Mind the gap |
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