Error Analysis Software
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See also 4 References Software[edit] ASUE This is a powerful web interface powered by webMathematica for evaluating uncertainty symbolically error level analysis software using GUM. Besides, the webpage also allows symbolic uncertainty evaluation
Image Error Level Analysis Software
using ASUE framework (with reference), which is an extension to GUM framework Dempster Shafer with
Error Propagation Calculator Excel
Intervals (DSI) Toolbox is a MATLAB toolbox for verified computing under Dempster–Shafer theory. It provides aggregation rules, fast (non-)monotonic function propagation, plots of basic probability
Error Propagation Software
assignments, verified Fault tree analysis, and much more. EasyGraph is a graphing package that supports error propagation directly into the error bars. Epc is an open source script based tool that calculates the propagation of errors in variables. To quote the text on the Epc web page "This is error propagation matlab done by repeated calculation of the expression using variable-values which are generated using a random number generator whose mean and standard-deviation match the values specified for the variable". Error Calculator Free/libre cross-platform calculator with minimalistic interface. Designed for use in practical courses at natural sciences. Exposes all formulae needed to calculate the results, interoperability with office, support for physical quantities with units. Error Propagation Calculator Free cross-platform calculator (OSX/Windows/Linux) written in Python. Essentially a GUI interface for the python Uncertainties library. Very easy to use and install. ErrorCalc is a scientific calculator app for iPhone or iPad that performs error propagation (Supports Algebraic and RPN modes of entry) FuncDesigner GUMsim is a Monte Carlo simulator and uncertainty estimator for Windows GUM Tree is a design pattern for propagating measurement uncertainty. There is an implementation in R and add-ons for Excel (real and complex numbers). GUM Tree C
LAAS - CNRS, 7 Avenue du Colonel Roche, 31077 Toulouse Cedex - FRANCE Published in: ·Proceeding ISSTA '96 Proceedings of the 1996 ACM SIGSOFT international symposium on uncertainty propagation formula Software testing and analysis Pages 158-171 ACM New York, NY, USA ©1996 tableofcontents error propagation excel spreadsheet ISBN:0-89791-787-1 doi>10.1145/229000.226313 ·Newsletter ACM SIGSOFT Software Engineering Notes Homepage Volume 21 Issue 3, May 1996 Pages 158-171 ACM New York, wolfram alpha error propagation NY, USA tableofcontents doi>10.1145/226295.226313 1996 Article Bibliometrics ·Downloads (6 Weeks): 1 ·Downloads (12 Months): 45 ·Downloads (cumulative): 1,107 ·Citation Count: 27 Recent authors with related interests Concepts in this article https://en.wikipedia.org/wiki/List_of_uncertainty_propagation_software powered by Concepts inSoftware error analysis: a real case study involving real faults and mutations Software bug A software bug is the common term used to describe an error, flaw, mistake, failure, or fault in a computer program or system that produces an incorrect or unexpected result, or causes it to behave in unintended ways. Most bugs arise from mistakes and errors made by people in either http://dl.acm.org/citation.cfm?id=226313 a program's source code or its design, and a few are caused by compilers producing incorrect code. morefromWikipedia Mathematical analysis Mathematical analysis, which mathematicians refer to simply as analysis, is a branch of pure mathematics that includes the theories of differentiation, integration and measure, limits, infinite series, and analytic functions. These theories are often studied in the context of real numbers, complex numbers, and real and complex functions. Analysis may be conventionally distinguished from geometry. morefromWikipedia Mutation In molecular biology and genetics, mutations are changes in a genomic sequence: the DNA sequence of a cell's genome or the DNA or RNA sequence of a virus. These random sequences can be defined as sudden and spontaneous changes in the cell. Mutations are caused by radiation, viruses, transposons and mutagenic chemicals, as well as errors that occur during meiosis or DNA replication. They can also be induced by the organism itself, by cellular processes such as hypermutation. morefromWikipedia Tools and Resources Buy this Article Recommend the ACM DLto your organization Request Permissions TOC Service: Email RSS Save to Binder Export Formats: BibTeX EndNote ACMRef Upcoming Conference: ISSTA '17 Share: | Author Tags error handling and recovery experimentation measurement software design techn
von GoogleAnmeldenAusgeblendete FelderBooksbooks.google.dehttps://books.google.de/books/about/Software_Error_Analysis.html?hl=de&id=QRN4c1ygyZcC&utm_source=gb-gplus-shareSoftware Error AnalysisMeine BücherHilfeErweiterte BuchsucheDruckversionKein E-Book verfügbarSilicon PressAmazon.deBuch.deBuchkatalog.deLibri.deWeltbild.deIn Bücherei suchenAlle Händler»Stöbere bei Google Play https://books.google.com/books?id=QRN4c1ygyZcC&pg=PR15&lpg=PR15&dq=error+analysis+software&source=bl&ots=3VTIqj3z70&sig=giYVKe8uFL-slhDOpqHzVW7S014&hl=en&sa=X&ved=0ahUKEwieuvDQ9sfPAhUKxWMKHXuDAKgQ6AEIQTAF nach Büchern.Stöbere im größten eBookstore der Welt und lies noch heute im Web, auf deinem Tablet, Telefon oder E-Reader.Weiter zu Google Play »Software Error AnalysisWendy W. Peng, Dolores R. WallaceSilicon Press, 1995 0 Rezensionenhttps://books.google.de/books/about/Software_Error_Analysis.html?hl=de&id=QRN4c1ygyZcC Voransicht des Buches » Was andere error propagation dazu sagen-Rezension schreibenEs wurden keine Rezensionen gefunden.Ausgewählte SeitenTitelseiteInhaltsverzeichnisInhaltSUMMARY 5-33 APPENDIX A ERROR DETECTION TECHNIQUES A-1 APPENDIX B ERROR ANALYSIS TECHNIQUES CITED IN SOFTWARE A-23 Table B2 Error Analysis Techniques Cited in Reviewed Documents B-5 Urheberrecht Häufige Begriffe und Wortgruppenanalyzing anomaly error level analysis automated bar graph components Computer control chart control flow analysis correct Critical Software data collection data flow data flow analysis data points determine development process diagrams Disadvantages documentation error analysis error analysis techniques error data error detection techniques evaluation execution faults FIPS formal methods functions Guidelines high integrity software high integrity systems identify IEEE implementation incorrect input inspection interface analysis ITSEC lifecycle phase logic measure Metrics Primitive Nuclear number of errors operational output parameters performed plotted reliability estimation models reliability models requirements specification sample simulation software development Software Engineering software product software quality assurance software reliability estimation software requirements software system Software Testing SPC techniques standards static analysis static analysis techniques statistical process control testing total number traceability analysis
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