Universiti Teknologi Malaysia

About: Universiti Teknologi Malaysia is a education organization based out in Johor Bahru, Malaysia. It is known for research contribution in the topics: Membrane & Control theory. The organization has 21644 authors who have published 39500 publications receiving 520635 citations.

Test case prioritization approaches in regression testing: A systematic literature review

Abstract: Context Software quality can be assured by going through software testing process. However, software testing phase is an expensive process as it consumes a longer time. By scheduling test cases execution order through a prioritization approach, software testing efficiency can be improved especially during regression testing. Objective It is a notable step to be taken in constructing important software testing environment so that a system's commercial value can increase. The main idea of this review is to examine and classify the current test case prioritization approaches based on the articulated research questions. Method Set of search keywords with appropriate repositories were utilized to extract most important studies that fulfill all the criteria defined and classified under journal, conference paper, symposiums and workshops categories. 69 primary studies were nominated from the review strategy. Results There were 40 journal articles, 21 conference papers, three workshop articles, and five symposium articles collected from the primary studies. As for the result, it can be said that TCP approaches are still broadly open for improvements. Each approach in TCP has specified potential values, advantages, and limitation. Additionally, we found that variations in the starting point of TCP process among the approaches provide a different timeline and benefit to project manager to choose which approaches suite with the project schedule and available resources. Conclusion Test case prioritization has already been considerably discussed in the software testing domain. However, it is commonly learned that there are quite a number of existing prioritization techniques that can still be improved especially in data used and execution process for each approach.

The influence of physical environment on emotions, customer satisfaction and behavioural intentions in Chinese resort hotel industry

Abstract: The objective of this study is to examine the influence of physical environment on emotions, customer satisfaction and behavioural intentions in Chinese resort hotel industry. A convenient sampling technique was used to select the sample. A total of 500 questionnaires were distributed to customers of resort hotels in four different cities of China out of which 170 were returned (35% response rate). The result from the finding suggests that customers who have higher perceptions of the physical environment are more likely to have positive emotions, increasing customer satisfaction and behavioural intentions. Therefore, Chinese resort hotels need to pay attention to upgrading their facilities in order to elicit positive emotion and maintain their relationship with customer satisfaction.

Big data emerging technology: Insights into innovative environment for online learning resources

Abstract: Digital devices like tablets, smart phones, and laptop have become increasingly raised and utilised in higher education. As a result, current trends on ICT (information and communication technology) used in education begin widely with focusing on teaching and learning. The new concept of big data in recent ICT domain extends the promising research direction on online learning and big data integration through promising content that can be tailored for each student based on the context and Internet behaviour of users in online learning. This paper aims to explore innovative design for innovative online learning in Higher education using Big Data approach. Critical review from referred journals and books was conducted using thematic analysis. This paper proposes model reference which can be implemented with the technology in teaching and learning to improve student learning environment and outcomes and to enhance students’ development, performance and achievement in learning process in higher education.