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Search Publications by: Raghu N Kacker (Fed)

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Displaying 76 - 100 of 195

Improving IPOG’s Vertical Growth Based on a Graph Coloring Scheme

April 13, 2015
Author(s)
Raghu N. Kacker, David R. Kuhn, Yu Lei
In this paper, we show that the vertical growth phase of IPOG is optimal for t-way test generation when t = 2, but it is no longer optimal when t is greater than 2. We present an improvement that reduces the number of tests generated during vertical growth

Calibration Considerations for Mission Success

April 1, 2015
Author(s)
Raghu N. Kacker
As more and more data from different sensors, either on the same or from different platforms, are used together for studies of changes in the earth’s atmosphere and surface properties, Department of Defense applications, or for the many other applications

Combinatorial Coverage as an Aspect of Test Quality

March 31, 2015
Author(s)
David R. Kuhn, Raghu N. Kacker, Yu Lei
There are relatively few good methods for evaluating test set quality, after ensuring basic requirements traceability. Structural coverage, mutation testing, and related methods can be used if source code is available, but these approaches may entail

Obtaining a Trapezoidal Distribution

March 9, 2015
Author(s)
James F. Lawrence, Raghu N. Kacker, Ruediger Kessel
Given a most believed value for a quantity together with upper and lower possible deviations from that value, a rectangular distribution might be used to represent state-of-knowledge about the quantity. If the deviations are themselves known by probability

An Empirical Comparison of Combinatorial and Random Testing

April 4, 2014
Author(s)
Raghu N. Kacker, David R. Kuhn
Some conflicting results have been reported on the comparison between t-way combinatorial testing and random testing. In this paper, we report a new study that applies t-way and random testing to the Siemens suite. In particular, we investigate the

An Empirical Comparison of Combinatorial and Random Testing

April 1, 2014
Author(s)
Laleh Ghandehari, Jacek Czerwonka, Yu Lei, Soheil Shafiee, Raghu N. Kacker, D. Richard Kuhn
Some conflicting results have been reported on the comparison between t-way combinatorial testing and random testing. In this paper, we report a new study that applies t-way and random testing to the Siemens suite. In particular, we investigate the

Estimating Fault Detection Effectiveness

April 1, 2014
Author(s)
David R. Kuhn, Raghu N. Kacker, Yu Lei
[Poster] A t-way covering array can detect t-way faults, however they generally include other combinations beyond t-way as well. For example, a particular test set of all 5-way combinations is shown capable of detecting all seeded faults in a test program

Bootstrap Variability Studies in ROC Analysis on Large Datasets

March 19, 2014
Author(s)
Jin Chu Wu, Alvin F. Martin, Raghu N. Kacker
The nonparametric two-sample bootstrap is employed to compute uncertainties of measures in receiver operating characteristic (ROC) analysis on large datasets in areas such as biometrics, and so on. In this framework, the bootstrap variability was

Fault Localization Based on Failure-Inducing Combinations

November 7, 2013
Author(s)
Raghu N. Kacker
Combinatorial testing has been shown to be a very effective testing strategy. After a failure is detected, the next task is to identify the actual fault that causes the failure. In this paper, we present an approach to fault localization that leverages the

CCM: A Tool for Measuring Combinatorial Coverage of System State Space

October 10, 2013
Author(s)
Itzel Dominguez, D. Richard Kuhn, Raghu N. Kacker, Yu Lei
This poster presents some measures of combinatorial coverage that can be helpful in estimating residual risk related to insufficient testing of rare interactions, and a tool for computing these measures.

Measurement Uncertainty in Cell Image Segmentation Data Analysis

August 13, 2013
Author(s)
Jin Chu Wu, Michael W. Halter, Raghu N. Kacker, John T. Elliott, Anne L. Plant
Cell image segmentation is a part of quantitative studies regarding cell movement and cell behavior, and it plays a critical role in molecular biology and cellular biochemistry. Therefore, it is fundamentally important to evaluate the performance levels of

Significance Test with Data Dependency in Speaker Recognition Evaluation

July 25, 2013
Author(s)
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker, Vincent M. Stanford
To evaluate the performance of speaker recognition systems, a detection cost function defined as a weighted sum of the probabilities of type I and type II errors is employed. The speaker datasets may have data dependency due to multiple uses of the same

Combinatorial Methods in Testing

June 20, 2013
Author(s)
David R. Kuhn, Raghu N. Kacker
Chapter 1 in "Introduction to Combinatorial Testing" from CRC Press. Background material for Introduction to Combinatorial Testing from NIST SP 800-142 and other technical papers, which explain concepts of combinatorial testing, application to the Document

Combinatorial Testing Applied

June 20, 2013
Author(s)
David R. Kuhn, Raghu N. Kacker
Chapter 2 in "Introduction to Combinatorial Testing" from CRC Press. Background material for Introduction to Combinatorial Testing from NIST SP 800-142 and other technical papers, which explain concepts of combinatorial testing, application to the Document

Evolution From Design of Experiments

June 20, 2013
Author(s)
David R. Kuhn, Raghu N. Kacker
Chapter 14 in "Introduction to Combinatorial Testing" from CRC Press. Background material for Introduction to Combinatorial Testing from NIST SP 800-142 and other technical papers, which explain concepts of combinatorial testing, application to the

Measuring Combinatorial Coverage

June 20, 2013
Author(s)
David R. Kuhn, Raghu N. Kacker
Chapter 7 in "Introduction to Combinatorial Testing" from CRC Press. Background material for Introduction to Combinatorial Testing from NIST SP 800-142 and other technical papers, which explain concepts of combinatorial testing, application to the Document

A General Conformance Testing Framework for IEEE 11073 PHD's Communication Model

May 31, 2013
Author(s)
Raghu N. Kacker, Linbin Yu, Yu Lei, David R. Kuhn, Ram D. Sriram, Kevin G. Brady
ISO/IEEE 11073 Personal Health Data (IEEE 11073 PHD) is a set of standards that addresses the interoperability of personal healthcare devices. As an important part of IEEE 11073 PHD, ISO/IEEE 1107-20601 optimized exchange protocol (IEEE 11073-20601)