An Intelligent Method for Test Data Generation Based on Optimized Interval Arithmetic

An Intelligent Method Based on State Space Search for Automatic Test Case Generation

Search-Based Software Testing reformulates testing as search problems so that test case generation can be automated by some chosen search algorithms. This paper reformulates path-oriented test case generation as a state space search problem and proposes an intelligent method Best-First-Search Branch & Bound to solve it, utilizing the algorithms of Branch & Bound and Backtrack to search the spac...

Optimized random number generation in an interval

Article history: Received 17 January 2008 Available online 14 March 2009 Communicated by F. Dehne

Cross-Efficiency Evaluation Based on an Interval Method

Test Data Generation Based on Test Path Discovery Using Intelligent Water Drop

Automatic test data generation is required to generate test cases dynamically for a specific software program. Manual generation of test data is too tedious and a time consuming task. This paper proposes a technique using Intelligent Water Drop (IWD) for automatic generation of test data. Correctly generated test data helps in reducing the effort while testing the software. This paper discusses...

An Intelligent Anti-Islanding Scheme for Synchronous-Based Distributed Generation Using Reduced-Noise Morphological Gradient

This paper presents a pattern recognition-based scheme for detection of islanding conditions in synchronous- based distributed generation (DG) systems. The main idea behind the proposed scheme is the use of spatial features of system parameters such as the frequency, magnitude of positive sequence voltage, etc. In this study, the system parameters sampled at the point of common coupling (PCC) w...