Optimized Test Sequence Generation from Usage Models using Ant Colony Optimization
نویسندگان
چکیده
منابع مشابه
Software Test Data Generation using Ant Colony Optimization
State-based testing is frequently used in software testing. Test data generation is one of the key issues in software testing. A properly generated test suite may not only locate the errors in a software system, but also help in reducing the high cost associated with software testing. It is often desired that test data in the form of test sequences within a test suite can be automatically gener...
متن کاملOptimal Distributed Generation (DG) Allocation in Distribution Networks using an Improved Ant Colony Optimization (ACO) Algorithm
Abstract: The development of distributed generation (DGs) units in recent years have created challenges in the operation of power grids, especially distribution networks. One of these issues is the optimal allocation (location and capacity) of these units in distribution networks. In this thesis, a method based on the improved ant colony optimization algorithm is presented to solve the problem ...
متن کاملEstimation of Global Solar Irradiance Using a Novel combination of Ant Colony Optimization and Empirical Models
In this paper, a novel approach for the estimation of global solar irradiance is proposed based on a combination of empirical correlation and ant colony optimization. Empirical correlation has been used to estimate monthly average of daily global solar irradiance on a horizontal surface. The Ant Colony Optimization (ACO) algorithm has been applied as a swarm-intelligence technique to tune the c...
متن کاملTest Case Selection & Prioritization Using Ant Colony Optimization
Regression testing is a crucial and often costly software maintenance activity. In order to regain confidence in correctness of the system whenever modifications are made, we retest the software using existing test suite. But regression test suites are often too large to re-execute in the given time and cost constraints and thus we use test case selection and prioritization techniques. Ant Colo...
متن کاملNoC-Based SoC Test Scheduling Using Ant Colony Optimization
Jin-Ho Ahn et al. 129 In this paper, we propose a novel ant colony optimization (ACO)-based test scheduling method for testing network-on-chip (NoC)-based systems-on-chip (SoCs), on the assumption that the test platform, including specific methods and configurations such as test packet routing, generation, and absorption, is installed. The ACO metaheuristic model, inspired by the ant’s foraging...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Software Engineering & Applications
سال: 2010
ISSN: 0976-2221
DOI: 10.5121/ijsea.2010.1202