Software adaptation for an unmanned undersea vehicle

Avi Pfeffer; Curt Wu; Gerald Fry; Kenny Lu; Steve Marotta; Mike Reposa; Yuan Shi; T. K. Satish Kumar; Craig A. Knoblock; David Parker; Irfan Muhammad; Christopher Novakovic

doi:10.1109/MS.2018.2886815

Software adaptation for an unmanned undersea vehicle

Avi Pfeffer, Curt Wu, Gerald Fry, Kenny Lu, Steve Marotta, Mike Reposa, Yuan Shi, T. K. Satish Kumar, Craig A. Knoblock, David Parker, Irfan Muhammad, Christopher Novakovic

Computer Science

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

288 Downloads (Pure)

Abstract

Most current software systems are not adaptable, making them less capable of achieving their objectives. We are developing a method to optimize software for new environments automatically. An independent evaluation has demonstrated that this method adapts to degraded sensors, changing environmental conditions, and a loss of power.

Original language	English
Article number	8648259
Pages (from-to)	91-96
Number of pages	6
Journal	IEEE Software
Volume	36
Issue number	2
Early online date	21 Feb 2019
DOIs	https://doi.org/10.1109/MS.2018.2886815
Publication status	Published - 1 Mar 2019

Keywords

remotely operated vehicles
underwater vehicles
current software systems
software adaptation
environmental conditions
unmanned undersea vehicle
Software development management
Probabilistic logic
Navigation
Sensor systems
Optimization

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10.1109/MS.2018.2886815Licence: None: All rights reserved

Avi_Pfeffer_et_al_Software_adaptation_for_an_unmanned_undersea_vehicle_IEEE_Software_2018
Checked for eligibility: 22/03/2019 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A. Pfeffer et al., "Software Adaptation for an Unmanned Undersea Vehicle," in IEEE Software, vol. 36, no. 2, pp. 91-96, March-April 2019. doi: 10.1109/MS.2018.2886815
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Cite this

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AU - Kumar, T. K. Satish

AU - Knoblock, Craig A.

AU - Parker, David

AU - Muhammad, Irfan

AU - Novakovic, Christopher

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Software adaptation for an unmanned undersea vehicle

Abstract

Keywords

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