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Search Publications by: Raghu N Kacker (Fed)

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Displaying 276 - 300 of 373

Uncertainties in Scaling Factors for ab Initio Vibrational Zero-Point Energies

March 21, 2009
Author(s)
Karl K. Irikura, Russell D. Johnson III, Raghu N. Kacker, Ruediger Kessel
Vibrational zero-point energies (ZPEs) determined from ab initio calculations are often scaled by empirical factors. An empirical scaling factor partially compensates for the effects arising from vibrational anharmonicity and incomplete treatment of

An Interaction-based Test Sequence Generation Approach for Testing Web Applications

December 3, 2008
Author(s)
Wenhua Wang, Sreedevi Sampath, Yu Lei, Raghu N. Kacker
Web applications often use dynamic pages that interact with each other by accessing shared objects, e.g., session objects. Interactions between dynamic pages need to be carefully tested, as they may give rise to subtle faults that cannot be detected by

A Method to Quantify Uncertainty Due to Bias in Chemical Analyses

October 16, 2008
Author(s)
Raghu N. Kacker
A widely accepted approach to assure that the certified property of a chemical reference material is independent of the method of analysis is to analyze by two or more judiciously chosen methods. The statistical problem then is to determine the consensus

On-Line Process Control

October 16, 2008
Author(s)
Raghu N. Kacker, Nien-Fan Zhang
The natural state of manufacturing and measurement processes is usually nonstationary. The methods of statistical process control (SPC) are therefore inappropriate for on-line control. This paper provides a simple and generic protocol for on-line control

Why and When Should One Calibrate a Measurement System

October 16, 2008
Author(s)
Raghu N. Kacker
A measurement without its uncertainty is not adequate. The stated uncertainty ceases to be valid when the measurement system goes out of calibration. A conventional re-calibration interval may not be optimal for all usage conditions. The cost of re

Comparison of statistical consistency and metrological consistency

September 6, 2008
Author(s)
Raghu N. Kacker, Ruediger Kessel, Klaus-Dieter Sommer, Xin Bian
The conventional concept of consistency in multiple evaluations of the same measurand is based on statistical error analysis. This concept is based on regarding the evaluations as realizations from sampling probability distributions of potential

Refining the In-Parameter-Order Strategy for Constructing Covering Arrrays

September 1, 2008
Author(s)
Michael Forbes, James F. Lawrence, Yu Lei, Raghu N. Kacker, D. Richard Kuhn
Covering arrays are structures for well-representing extremely large input spaces and are used to efficiently implement blackbox testing for software and hardware. This paper proposes refinements over the In-Parameter-Order strategy (for arbitrary $t$)

Automated Combinatorial Test Methods: Beyond Pairwise Testing

June 2, 2008
Author(s)
David R. Kuhn, Raghu N. Kacker, Yu Lei
Pairwise testing has become a popular approach to software quality assurance because it often provides effective error detection at low cost. However, pairwise (2-way) coverage is not sufficient for assurance of mission-critical software. Combinatorial

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