Software Cost Regressing Testing Based Hidden MORKOV Model

Maintenance of software system accounts for much of the total cost associated with developing software. The nature of the modifying the software is a highly error-prone task which is the main reason for the cost. Correcting fault by changing software or add new functionality can cause existing functionality to regress, introducing new faults. To avoid such defects, one can re-test software after modifications, a task commonly known as regression testing. Re-execution of test cases developed for previous versions is typically called Regression test. However, is often costly and sometimes even infeasible due to time and resource constraints. Re-running test cases that do not exercise changed or change-impacted parts of the program carries extra cost and gives no benefit. This paper presents a novel framework for optimizing regression testing activities, based on a probabilistic view of regression testing. The proposed frame- work is built around predicting the probability that each test case finds faults in the regression testing phase, and optimizing the test suites accordingly. To predict such probabilities, we model regression testing using a Hidden Morkov Model Network (HMMN), a powerful probabilistic tool for modeling uncertainty in systems. We build this model using information measured directly from the software system. The results show that the proposed framework can outperform other techniques on some cases and performs comparably on the others. This paper shows that the proposed framework can help testers improve the cost effectiveness of their regression testing tasks. This paper examines theoretically the cultural issues that influence web design/usability and the significance of this influence to the general usability of a website and also establish how culture can be utilized to develop more usable websites. Thus the main contribution of this study is to identify what characterizes usable websites with reference to cultural needs of the user, specific web features applicable to cultural dimension that that can enhance cultural understanding and help web designers to customize the web sites to specific cultures.