A Novel Fault Analysis Based Dynamic Programming Approach for Regression Testing
نویسنده
چکیده
Regression Testing is basically performed to identify and rectify the client problem after the implementation of software product in client environment. In such case, instead of performing the all testing stages in same way, an intelligent mechanism is been implemented to identify the optimized sequence of test generation. One of such approach is fault analysis based approach. It means the module having the fault will be tested first and relatively other modules will be tested. In this paper, at first the regression testing approach is explored and later on a fault analysis based dynamic programming approach is suggested to find optimal test sequence. Keywords— Regression Testing, Fault Analysis, Optimal Sequence, Test Suite
منابع مشابه
Stability Assessment Metamorphic Approach (SAMA) for Effective Scheduling based on Fault Tolerance in Computational Grid
Grid Computing allows coordinated and controlled resource sharing and problem solving in multi-institutional, dynamic virtual organizations. Moreover, fault tolerance and task scheduling is an important issue for large scale computational grid because of its unreliable nature of grid resources. Commonly exploited techniques to realize fault tolerance is periodic Checkpointing that periodically ...
متن کاملCost Analysis of Acceptance Sampling Models Using Dynamic Programming and Bayesian Inference Considering Inspection Errors
Acceptance Sampling models have been widely applied in companies for the inspection and testing the raw material as well as the final products. A number of lots of the items are produced in a day in the industries so it may be impossible to inspect/test each item in a lot. The acceptance sampling models only provide the guarantee for the producer and consumer that the items in the lots are acco...
متن کاملDesign of nonlinear parity approach to fault detection and identification based on Takagi-Sugeno fuzzy model and unknown input observer in nonlinear systems
In this study, a novel fault detection scheme is developed for a class of nonlinear system in the presence of sensor noise. A nonlinear Takagi-Sugeno fuzzy model is implemented to create multiple models. While the T-S fuzzy model is used for only the nonlinear distribution matrix of the fault and measurement signals, a larger category of nonlinear systems is considered. Next, a mapping to decou...
متن کاملFault Type Estimation in Power Systems
This paper presents a novel approach for fault type estimation in power systems. The Fault type estimation is the first step to estimate instantaneous voltage, voltage sag magnitude and duration in a three-phase system at fault duration. The approach is based on time-domain state estimation where redundant measurements are available. The current based model allows a linear mapping between the m...
متن کاملA Novel Fault Detection and Classification Approach in Transmission Lines Based on Statistical Patterns
Symmetrical nature of mean of electrical signals during normal operating conditions is used in the fault detection task for dependable, robust, and simple fault detector implementation is presented in this work. Every fourth cycle of the instantaneous current signal, the mean is computed and carried into the next cycle to discover nonlinearities in the signal. A fault detection task is complete...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013