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Search Publications by: Raghu N Kacker (Fed)

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Displaying 151 - 175 of 187

Practical Combinatorial Testing: Beyond Pairwise

June 1, 2008
Author(s)
David R. Kuhn, Yu Lei, Raghu N. Kacker
With new algorithms and tools, developers can apply high-strength combinatorial testing to detect elusive failures that occur only when multiple components interact. In pairwise testing, all possible pairs of parameter values are covered by at least one

IPOG/IPOG-D: Efficient Test Generation for Multi-way Combinatorial Testing

November 29, 2007
Author(s)
Yu Lei, Raghu N. Kacker, D. Richard Kuhn, Vadim Okun, James F. Lawrence
We present two strategies for multi-way testing (i.e., t-way testing with t > 2). The first strategy generalizes an existing strategy, called In-Parameter-Order, from pairwise testing to multi-way testing. This strategy requires all t-way combinations to

Evolution of Modern Approaches to Express Uncertainty in Measurement

November 27, 2007
Author(s)
Raghu N. Kacker, K D. Sommer, Bernd Siebert
The object of this paper is to discuss evolution of the concept of uncertainty in measurement and methods for its quantification from the classical error analysis to the modern approaches based on the Guide to the Expression of Uncertainty in Measurement

A Combinatorial Testing Strategy for Concurrent Programs

June 7, 2007
Author(s)
Yu Lei, Richard Carver, Raghu N. Kacker, David Kung
One approach to testing concurrent programs is called reachability testing, which derives test sequences automatically and on-the-fly, without constructing a static model. Existing reachability testing algorithms are exhaustive in that they are intended to

IPOG: A General Strategy for t-Way Software Testing

March 29, 2007
Author(s)
Yu Lei, Raghu N. Kacker, D. Richard Kuhn, Vadim Okun, James F. Lawrence
Most existing work on t-way testing has focused on 2-way (or pairwise) testing, which aims to detect faults caused by interactions between any two parameters. However, faults can also be caused by interactions involving more than two parameters. In this

Comments on 'Bayesian evaluation of comparison data' by Ignacio Lira

January 1, 2007
Author(s)
Raghu N. Kacker, Blaza Toman
A recent paper by Ignacio Lira in Metrologia 43 (2006) S231-S234 addresses a well-known problem in combining information from interlaboratory evaluations. Lira presents an expression, which he claims to be the kernel of a Bayesian posterior probability

Random-Effects Model for Meta-analysis of Clinical Trials: An Update

January 1, 2007
Author(s)
Rebecca DerSimonian, Raghu N. Kacker
The random-effects model is a useful approach for meta-analysis of clinical studies. It explicitly accounts for the heterogeneity of studies through a statistical parameter representing the inter-study variation. We discuss several iterative and non

Bayesian Alternative to the Guide's Use of the Welch-Satterthwaite Formula

January 3, 2006
Author(s)
Raghu N. Kacker
The Guide to the Expression of Uncertainty in Measurement suggests that to account for the statistical uncertainty in a combined standard uncertainty that arises when one or more of its components are evaluated from a limited number of independent normally

Coefficient of Contribution to the Combined Standard Uncertainty

January 1, 2006
Author(s)
Raghu N. Kacker, Rudiger Kessel, Michael Berglund
The International Organization for Standardization (ISO) Guide to the Expression of Uncertainty in Measurement (GUM) describes a generic procedure for determining an estimate for the measurand and its associated combined standard uncertainty from the

Uncertainties in Scaling Factors for ab Initio Vibrational Frequencies

September 1, 2005
Author(s)
Karl K. Irikura, Russell D. Johnson III, Raghu N. Kacker
Vibrational frequencies determined from ab initio calculations are often scaled by empirical factors. An empirical scaling factor partially compensates for the errors arising from vibrational anharmonicity and incomplete treatment of electron correlation

Uncertainties in Scaling Factors for Ab Intio Vibrational Frequencies

August 26, 2005
Author(s)
K Irikura, R Johnson, Raghu N. Kacker
The n-qubit concurrence canonical decomposition (CCD) is a generalization of the two-qubit canonical decomposition SU(4)=[SU(2) (x) SU(2)] ? [SU(2) (x) SU(2)], where ? is the commutative group which phases the maximally entangled Bell basis. A prequel