Software adaptation for an unmanned undersea vehicle
Research output: Contribution to journal › Article › peer-review
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Software adaptation for an unmanned undersea vehicle. / Pfeffer, Avi; Wu, Curt; Fry, Gerald; Lu, Kenny; Marotta, Steve; Reposa, Mike; Shi, Yuan; Kumar, T. K. Satish; Knoblock, Craig A.; Parker, David; Muhammad, Irfan; Novakovic, Christopher.
In: IEEE Software, Vol. 36, No. 2, 8648259, 01.03.2019, p. 91-96.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Software adaptation for an unmanned undersea vehicle
AU - Pfeffer, Avi
AU - Wu, Curt
AU - Fry, Gerald
AU - Lu, Kenny
AU - Marotta, Steve
AU - Reposa, Mike
AU - Shi, Yuan
AU - Kumar, T. K. Satish
AU - Knoblock, Craig A.
AU - Parker, David
AU - Muhammad, Irfan
AU - Novakovic, Christopher
PY - 2019/3/1
Y1 - 2019/3/1
N2 - 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.
AB - 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.
KW - remotely operated vehicles
KW - underwater vehicles
KW - current software systems
KW - software adaptation
KW - environmental conditions
KW - unmanned undersea vehicle
KW - Software development management
KW - Probabilistic logic
KW - Navigation
KW - Sensor systems
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85062172091&partnerID=8YFLogxK
U2 - 10.1109/MS.2018.2886815
DO - 10.1109/MS.2018.2886815
M3 - Article
VL - 36
SP - 91
EP - 96
JO - IEEE Software
JF - IEEE Software
SN - 0740-7459
IS - 2
M1 - 8648259
ER -