
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | February 13, 2017 |
Latest Amendment Date: | February 13, 2017 |
Award Number: | 1652397 |
Award Instrument: | Continuing Grant |
Program Manager: |
Samee Khan
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | September 1, 2017 |
End Date: | March 31, 2018 (Estimated) |
Total Intended Award Amount: | $525,582.00 |
Total Awarded Amount to Date: | $199,938.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
520 LEE ENTRANCE STE 211 AMHERST NY US 14228-2577 (716)645-2634 |
Sponsor Congressional District: |
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Primary Place of Performance: |
338 Davis Hall Buffalo NY US 14260-2500 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | CSR-Computer Systems Research |
Primary Program Source: |
01001920DB NSF RESEARCH & RELATED ACTIVIT 01002021DB NSF RESEARCH & RELATED ACTIVIT 01002122DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
Smartphones and the applications (apps) that they run are transforming our world. Web apps and software marketplaces have made it easier than ever before to distribute software to anyone and anywhere. However, writing good smartphone apps remains challenging. Developers must anticipate and adapt to numerous different devices and users, and to the changing conditions and environments caused by mobility. One minute the network is fast and free, the next it is slow and metered. The importance of adaptation to successful mobile apps is well understood. However, little language and system support exists to help developers create and improve adaptive mobile apps.
This project investigates a new system enabling the next generation of adaptive apps. Central to the approach is a new language construct that allows developers to express flexibility within their source code. This allows decisions that today must be made during development to be deferred, and leaves flexibility that can be harnessed to enable adaptation. Intelligently utilizing flexibility exposed by developers requires novel approaches to automated pre-deployment testing and dynamic adaptation policy generation. The project also explores how to guide developers toward useful flexibility, and how flexibility should be managed and exposed in current and next-generation programming languages.
The integrated educational plan also explores how to harness flexibility, but uses it to adapt online courses to make them more effective. Beginning with a concept library containing overlapping and self-reinforcing lessons, the project explores two forms of flexibility. Lessons can be reordered to express different prerequisites, and within each lesson multiple explanations an be used for different students. Integrated quiz results and other forms f feedback will be used to determine the success or failure of different approaches. These new personalized learning techniques will be applied to an existing online course on the internet created by the investigator.
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