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» Practical Random Number Generation in Software
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IPPS
2008
IEEE
14 years 4 months ago
Software monitoring with bounded overhead
In this paper, we introduce the new technique of HighConfidence Software Monitoring (HCSM), which allows one to perform software monitoring with bounded overhead and concomitantl...
Sean Callanan, David J. Dean, Michael Gorbovitski,...
TOSEM
1998
80views more  TOSEM 1998»
13 years 9 months ago
Discovering Models of Software Processes from Event-Based Data
Many software process methods and tools presuppose the existence of a formal model of a process. Unfortunately, developing a formal model for an on-going, complex process can be d...
Jonathan E. Cook, Alexander L. Wolf
AAAI
2004
13 years 11 months ago
Hiding Satisfying Assignments: Two Are Better than One
The evaluation of incomplete satisfiability solvers depends critically on the availability of hard satisfiable instances. A plausible source of such instances consists of random k...
Dimitris Achlioptas, Haixia Jia, Cristopher Moore
INFSOF
2006
151views more  INFSOF 2006»
13 years 9 months ago
Prioritized interaction testing for pair-wise coverage with seeding and constraints
Interaction testing is widely used in screening for faults. In software testing, it provides a natural mechanism for testing systems to be deployed on a variety of hardware and so...
Renée C. Bryce, Charles J. Colbourn
ISPW
2008
IEEE
14 years 4 months ago
Accurate Estimates without Calibration?
Most process models calibrate their internal settings using historical data. Collecting this data is expensive, tedious, and often an incomplete process. Is it possible to make acc...
Tim Menzies, Oussama El-Rawas, Barry W. Boehm, Ray...