No abstract

Software testing is the major process in software development life cycle. Regression testing is very costly and inevitable activity that is to be performed in a restricted environment to ensure the validity of modified software. It is inefficient to rerun every test case from test suite when some kind of modification is done in the software. Test case selection and prioritization techniques select and organize the test cases in a test suite based on some criteria such that the faults are covered quickly with minimum execution time. This task can be done on basis of the Ant Colony Optimization technique (ACO) of Swarm Intelligence as it is not deeply studied yet. The main objective of this thesis is to solve the path problem: Means to find the shortest path and Resolve the time problem: Means to minimize the time of finding shortest path. Because of time and cost constraint, it is not possible to perform extensive regression testing. Techniques such as test case selection and prioritization are used to solve the problem of time and cost constraints. In this paper we are modifying the previous technique to get better results in case of execution time and then the Effectiveness of techniques is checked with the help of APFD metric.

No abstract

To stay ahead in competition, software organizations have to deliver required functionality consistently guaranteed with high quality. The quality expectations of customers at purchase time from the software is the major reason of emergent attention of software organizations to implement quality management in software development. Nowadays, use of Component Based Software Development (CBSD) approach is considered success factor for business because of its underlying benefits like reusability, on-time delivery, high quality, and less cost. But success of CBSD depends upon the quality of components used. Many quality models have been proposed to provide high quality products, some of these are for general usage and others are for specific applications or domains. These specific purpose models are improved or modified forms of basic quality models especially ISO 9126. This paper presents key challenges or deterrents to the development of standard, complete and pervasive software quality models, solution to these challenges and their importance is also discussed.

Wireless Mesh Networks are looming as a key technology for next generation of existing wireless networks. The network falls into the category of infrastructure less wireless networks that rely on high mobility and dynamic topology. Though mesh topology provides good reliability, market coverage and scalability, there are number of issues and challenges in WMN. Amongst all, the most prevailing issue is the problem of packet loss due to congestion. The routing protocol always uses the best shortest path for the transmission of data. Congestion occurs when each time the protocol chooses the same path. Congestion problem can be overcome by involving a congestion control algorithm. In this paper, a congestion control scheme based on AODV routing protocol has been proposed. In this technique, buffers at the intermediate nodes are checked against two cases. First the capacity of the buffer on the whole is checked, if it crosses a certain threshold then second condition i.e. the capacity of the packets present in the buffer for the available destinations is checked against a second threshold. If it crosses a certain threshold value then data forwarding is carried out through alternate paths. The proposed technique has improved the performance of AODV protocol. Simulation results for AODV carried out in NS-2 clearly show the increase in throughput and decrease in end to end delay.