Practical experiences with statistical usage testing. Statistical Methods for Inter-rater Reliability Assessment 1-6. Kappa statistic is not satisfactory for assessing the extent of agreement between raters. The Discovery of Grounded Theory: Strategies for Qualitative Research.
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of the 15th International Symposium on Software Reliability Engineering (ISSRE’04). International Journal of Research in Management and Technology, 2, 1. Human reliability analysis: A review of the state of the art. of the 2001 Annual Reliability and Maintainability Symposium (RAMS’01). A methodology for operational profile refinement. of the 3rd International Conference on Quality Software. MaTeLo-Statistical usage testing by annotated sequence diagrams, Markov chains and TTCN-3. Software Practice and Experience 34, 11, 1025-1050. JCrasher: An automatic robustness tester for Java. Basic Statistics for Social Research: Step-by-Step Calculations and Computer Techniques Using Minitab.
Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory 3rd Ed. Constructing Grounded Theory: A Practical Guide through Qualitative Analysis. of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE’07). Automated GUI testing guided by usage profiles. of the 9th International Symposium on Software Reliability Engineering (ISSRE’98). Expressing and implementing operational profiles for reactive software validation. of the 53rd Annual Reliability and Maintainability Symposium. Software reliability improvement through operational profile driven testing. Many open research questions related to OP definition and development are identified based on the survey and classification. To facilitate understanding of the relationships between OP classes and their elements, a meta-model was developed that can be used to support OP standardization.
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The classes are organized as a taxonomy composed of common OP features (e.g., profiles, structure, and scenarios), software boundaries (which define the scope of the OP), OP dependencies (such as those of the code or in the field of interest), and OP development (which specifies when and how an OP is developed). This article is articulated around a main dimension, that is, OP classes, which are a characterization of the OP model and the basis for generating test cases. The survey follows a mixed method based on systematic maps and qualitative analysis. I currently use R for cleaning and analyzing data, for documenting research procedures, and producing reports.This article is devoted to the survey, analysis, and classification of operational profiles (OP) that characterize the type and frequency of software inputs and are used in software testing techniques. While I use and have expertise in a variety of software programs for data analysis (including SPSS, SAS, MPlus, AMOS, ArcView GIS, and AtlasTI), I have focused my recent training on becoming fluent in R. Within each of these analytic techniques, I am experienced with both general and generalized approaches, including those for count and binary data.
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Over the past decade, in particular, I have refined my expertise in statistical analysis techniques, including factor analysis, cluster analysis, classification procedures, structural equation modeling (including path analysis, multiple groups analysis, and full structural models), and multilevel and longitudinal data analysis (including discontinuous growth models). Over the course of my education and career, I have developed expertise in all phases of research design and analysis, but my primary focus is in the management, cleaning, and analysis of complicated data (including experience with databases of several million cases). Over the last 20 years, I have gained a strong background in academic and applied research settings, including research in medicine and epidemiology, substance abuse prevention, homelessness, and criminal justice. I also currently teach two PhD-level statistics courses in the College of Social Work. Since receiving my PhD, I have worked as a statistical analyst, social, and medical researcher, participating in the design, analysis and reporting for numerous research projects in these fields. I am now a Research Assistant Professor at the Utah Criminal Justice Center in the College of Social Work at the University of Utah. I received my PhD in Social Psychology from the University of Utah in 2004 and have worked in the fields of marketing, social, and medical research since 1997, beginning as a research assistant at the Ohio State University.
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