Clemson University

About: Clemson University is a education organization based out in Clemson, South Carolina, United States. It is known for research contribution in the topics: Population & Control theory. The organization has 20556 authors who have published 42518 publications receiving 1170779 citations. The organization is also known as: Clemson Agricultural College of South Carolina.

Survey of robust control for rigid robots

Abstract: Current approaches to the robust control of the motion of rigid robots are surveyed, and the available literature is summarized. The five major design approaches discussed are the linear-multivariable approach, the passivity approach, the variable-structure approach, the saturation approach, and the robust-adaptive approach. Some guidelines for choosing a method are offered. >

Criterion validity, severity cut scores, and test-retest reliability of the Beck Depression Inventory-II in a university counseling center sample.

Abstract: The criterion validity of the Beck Depression Inventory-II (BDI-II; A. T. Beck, R. A. Steer, & G. K. Brown, 1996) was investigated by pairing blind BDI-II administrations with the major depressive episode portion of the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I; M. B. First, R. L. Spitzer, M. Gibbon, & J. B. W. Williams, 1997) in a sample of 137 students receiving treatment at a university counseling center. Student BDI-II scores correlated strongly (r =.83) with their number of SCID-I depressed mood symptoms. A BDI-II cut score of 16 yielded a sensitivity rate of 84% and a false-positive rate of 18% in identifying depressed mood. Receiver operating characteristic analyses were used to produce cut scores for determining severity of depressed mood. In a second study, a sample of 46 student clients were administered the BDI-II twice, yielding test-retest reliability of.96.

A Fortran language system for mutation-based software testing

Abstract: Mutation analysis is a powerful technique for testing software systems. The Mothra software testing project uses mutation analysis as the basis for an integrated software testing environment. Mutation analysis requires executing many slightly differing versions of the same program to evaluate the quality of the data used to test the program. The current version of Mothra includes a complete language system that translates a program to be tested into intermediate code so that it and its mutated versions can be executed by an interpreter. In this paper, we discuss some of the unique requirements of a language system used in a mutation-based testing environment. We then describe how these requirements affected the design and implementation of the Fortran 77 version of the Mothra system. We also describe the intermediate language used by Mothra and the features of the language system that are needed for software testing. The appendices contain a full description of the intermediate language and the mutation operators used by Mothra. The design and implementation techniques that were developed for Mothra are applicable for constructing not just software testing systems, but any type of program analysis system or language system for a special-purpose application. In particular, we discuss decisions made and techniques developed by the Mothra team that can be useful in such applications as debuggers, program measurement tools, software development environments and other types of program analysis systems.