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Sarabjit kaur,Fon Sim Ong,Sathyaprakash Balaji Makam 글로벌지식마케팅경영학회 2020 Global Marketing Conference Vol.2020 No.11
Service failure of high severity can lead to high recovery satisfaction when recovery efforts are seen very fair. Customers satisfied with recovery efforts and displaying high attachment anxiety will continue to repurchase. Attachment avoidance did not have an impact on the behavioural intentions and neither did the brand authenticity perception.
Test-Case Prioritization Using Adaptive Approach
Sarabjit Kaur,Bhanu Priya 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.5
Test-case prioritization provides the way to organize the order of test cases according to the priority. There are many approaches which are used for test case prioritization. Adaptive approach can be used for test case prioritization. At the execution time adaptive approach gives the all information regarding to current execution or previous execution of program. The adaptive approach evaluating the effectiveness of the test cases. This also provides the information regarding to errors. The adaptive approach arrange the priority of each test cases in decreasing order. We have conducted results which are based upon java programs. We are generating 100 test cases based upon java language. In, this paper we are using APSC metric which describe the statement coverage of test cases. The adaptive approach select the test case then execute it, after execution the priority of the test case will be calculated. This paper also gives the information of statement coverage as well as gives information regarding to those statement which are not covered or unselected. The error rate of test case execution will be also described using adaptive approach. As well as we can say that this paper presents the detail study regarding to APSC metric with the help of adaptive approach.
Sarabjit Kaur,Saloni Ghai 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.11
Test case prioritization is basically the process of prioritizing the execution order of test cases in order to increase the fault detection rate. If fault detection rate is being gradually improved during regression testing then it will provide faster feedback to system developers which ultimately deliver the software earlier. Many of the existing test case prioritization techniques illustrated that test cases can be executed in any order but the concept of functional dependency plays an important role between test cases. In this paper we have described about testing, its types, test case prioritization and its techniques. Regression testing is normally being used to retest the component of a system that verifies that defects are removed or not from the effected part of the software after modifications. This paper enhances the hill climbing approach for test case prioritization by using functional dependency technique. This prioritization approach schedules test cases based upon functional dependency technique .Our approach is quiet efficient as compare to any other technique. Regression testing is quite popular as it helps to make the system error free after modifications.
Improved Hyper-Heuristic Scheduling with Load-Balancing and RASA for Cloud Computing Systems
Geetinder kaur,Sarabjit kaur 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.1
Nowadays cloud computing has turned into a key innovation and has become a great solution for indulging a flexible utility oriented , online allocation and storage of computing resources and client’s information in lower expense, on- interest and dynamically scalable framework on pay per use premise. This technology is a new pattern emerging in IT environment with immense necessities of framework and resources. Job Scheduling Problem is an essential issue. For efficient usage and managing resources, administrations, scheduling plays a critical role. This paper apportion the performance enhancement of Hyper- Heuristic Scheduling Approach to schedule cloudlets and resources, by taking account of both , computation time and transmission cost with two detection operators. Load Balancing and RASA concept is applied for efficient Load Scheduling, resource utilization and thereby enhancing the overall performance of cloud computing environment. The numerical investigations of HHSA were performed on CloudSim. Experimental results generated via simulation shows that enhanced heuristic scheduling approach is much better than individual heuristic approach in terms of minimizing makespan time.