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89
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KBSE
1997
IEEE
15 years 3 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
146
Voted
MOBIHOC
2005
ACM
15 years 10 months ago
Power balanced coverage-time optimization for clustered wireless sensor networks
We consider a wireless sensor network in which sensors are grouped into clusters, each with its own cluster head (CH). Each CH collects data from sensors in its cluster and relays...
Tao Shu, Marwan Krunz, Sarma B. K. Vrudhula
SIGSOFT
2002
ACM
15 years 11 months ago
Improving program slicing with dynamic points-to data
Program slicing is a potentially useful analysis for aiding program understanding. However, slices of even small programs are often too large to be generally useful. Imprecise poi...
Markus Mock, Darren C. Atkinson, Craig Chambers, S...
67
Voted
ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
15 years 7 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
99
Voted
TON
2010
147views more  TON 2010»
14 years 9 months ago
Coverage-time optimization for clustered wireless sensor networks: a power-balancing approach
—In this paper, we investigate the maximization of the coverage time for a clustered wireless sensor network (WSN) by optimal balancing of power consumption among cluster heads (...
Tao Shu, Marwan Krunz