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» Predicting risk of software changes
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ICST
2009
IEEE
14 years 2 months ago
Seasonal Variation in the Vulnerability Discovery Process
Vulnerability discovery rates need to be taken into account for evaluating security risks. Accurate projection of these rates is required to estimate the effort needed to develop ...
HyunChul Joh, Yashwant K. Malaiya
NIPS
2007
13 years 9 months ago
Structured Learning with Approximate Inference
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
Alex Kulesza, Fernando Pereira
ICDCN
2009
Springer
14 years 2 months ago
Tracking Dynamics Using Sensor Networks: Some Recurring Themes
Abstract. Much of the data consumed today is dynamic, typically gathered from distributed sources including sensors, and used in real-time monitoring and decision making applicatio...
Krithi Ramamritham
RE
2002
Springer
13 years 7 months ago
Automating Speculative Queries through Event-Based Requirements Traceability
Posing speculative questions about a software system is an important yet often unsupported activity. Current impact analysis techniques tend to focus upon the functionality of the...
Jane Cleland-Huang, Carl K. Chang, Gaurav Sethi, K...
VLSID
2001
IEEE
129views VLSI» more  VLSID 2001»
14 years 8 months ago
Power-aware Multimedia Systems using Run-time Prediction
The need for low-power multimedia processing is integral to portable and embedded devices such as cell phones, wireless terminals, multimedia handhelds and PDAs. The multimedia pr...
Pavan Kumar, Mani B. Srivastava