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Search Publications by: Raghu N Kacker (Fed)

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Displaying 76 - 100 of 373

Combinatorial and MC/DC Coverage Levels of Random Testing

August 18, 2017
Author(s)
Sergiy Vilkomir, Aparna Alluri, D. Richard Kuhn, Raghu N. Kacker
Software testing criteria differ in effectiveness, numbers of required test cases, and processes of test generation. Specific criteria are often compared with random testing as the simplest basic approach and, in some cases, random testing shows a

Combinatorial Testing of Full Text Search in Web Applications

August 18, 2017
Author(s)
M S Raunak, David R. Kuhn, Raghu N. Kacker
Database driven web applications are some of most widely developed systems today. Testing these applications effectively and discovering difficult-to-find bugs continues to be a challenge for software engineers. In this paper, we show that combinatorial

An Analysis of Vulnerability Trends, 2008 - 2016

July 29, 2017
Author(s)
David R. Kuhn, Mohammad Raunak, Raghu N. Kacker
This analysis reviews trends within the different vulnerability types and subsidiary weaknesses, with a goal of identifying practices that may have the strongest impact on reducing vulnerabilities.

A novel measure and significance testing in data analysis of cell image segmentation

April 20, 2017
Author(s)
Jin Chu Wu, Michael W. Halter, Raghu N. Kacker, John T. Elliott, Anne L. Plant
Background: Cell image segmentation (CIS) is an essential part of quantitative imaging of biological cells. Designing a performance measure and conducting significance testing are critical for evaluating and comparing the CIS algorithms for image-based

The Impact of Data Dependency on Speaker Recognition Evaluation

February 8, 2017
Author(s)
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker
The data dependency due to multiple use of the same subjects has impact on the standard error (SE) of the detection cost function (DCF) in speaker recognition evaluation. The DCF is defined as a weighted sum of the probabilities of type I and type II

Combinatorial Methods in Security Testing

October 20, 2016
Author(s)
Dimitris Simos, D. Richard Kuhn, Artemios Voyiatzis, Raghu N. Kacker
This article introduces combinatorial testing-based approaches for security testing and presents case studies and experiences. The success of the presented research program motivates further intensive research on the field of combinatorial security testing

Estimating t-way Fault Profile Evolution During Testing

August 25, 2016
Author(s)
David R. Kuhn, Raghu N. Kacker, Lei Yu
Empirical studies have shown that most software interaction faults involve one or two variables interacting, with progressively fewer triggered by three or more, and no failure has been reported involving more than six variables interacting. This paper

Evaluating the Effectiveness of BEN in Locating Different Types of Software Fault

August 4, 2016
Author(s)
Raghu N. Kacker, David R. Kuhn, Jagan Chandrasekaran, Yu Lei
Debugging or fault localization is one of the most challenging tasks during software development. Automated fault localization tools have been developed to reduce the amount of effort and time software developers have to spend on debugging. In this paper

Pseudo-exhaustive Testing of Attribute Based Access Control Rules

August 4, 2016
Author(s)
David R. Kuhn, Chung Tong Hu, David F. Ferraiolo, Raghu N. Kacker, Yu Lei
Access control typically requires translating policies or rules given in natural language into a form such as a programming language or decision table, which can be processed by an access control system. Once rules have been described in machine

Estimating t-way Fault Profile Evolution During Testing

June 10, 2016
Author(s)
Raghu N. Kacker, David R. Kuhn
Empirical studies have shown that most software interaction faults involve one or two variables interacting, with progressively fewer triggered by three or more, and no failure has been reported involving more than six variables interacting. This paper