Analysis of Error Processes in Computer Software
Schneidewind, Norman F.
MetadataShow full item record
A non-homogeneous Poisson process is used to model the occurrence of errors detected during functional testing of command and control software. The parameters of the detection process are estimated by using a combination of maximum likelihood and weighted least squares methods. Once parameter estimates are obtained, forecasts can be made of cumulative number of detected errors. Forecasting equations of cumulative corrected errors, errors detected but not corrected, and the time required to detect or correct a specified number of errors, are derived from the detected error function. The various forecasts provide decision aids for managing software testing activities. Naval Tactical Data System software error data are used to evaluate several variations ~of the forecasting methodology and to test the accuracy of the forecasting equations. Because of changes which take place in the actual detected error process, it was found that recent error observations are more representative of future error occurrences than are early observations. Based on a limited test of the model, acceptable accuracy was obtained when using the preferred forecasting method.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Johnson, Steven A. (Monterey, California. Naval Postgraduate School, 2003-03);The space environment has unique hazards that force electronic systems designers to use different techniques to build their systems. Radiation can cause Single Event Upsets (SEUs) which can cause state changes in satellite ...
Moses, O. Douglas (Monterey, California. Naval Postgraduate School, 1991-02); NPS-AS-91-005Learning curve models have gained widespread acceptance as a technique for analyzing and forecasting the cost of item produced from a repetitive process. Considerable research has investigated augmenting the traditional ...
Learning curve and rate adjustment models: Comparative prediction accuracy under varying conditions Moses, O. Douglas (Monterey, California. Naval Postgraduate School, 1990-11); NPS-AS-9 1-001Learning curve models have gained widespread acceptance as a technique for analyzing and forecasting the cost of items produced from a repetitive process. Considerable research has investigated augmenting the traditional ...