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Abstract

From BRICS nations, India is the second largest tourism market after China in Asia. Technological revolution has added new dimensions to the way technologies being used in all the sectors. Also, the use of electronic gadgets leaves trail of data, which is very huge in size, this data (Big Data) is exploited by every sector for providing better services and gaining competitive edge. This trend grabbed the attention of researchers and industry for development of more optimized tools and techniques. There are many general frameworks proposed by industry and researchers for implementation of Big Data in industry but, there is no framework proposed for tourism sector. In this paper, the authors propose unified IT infrastructure framework named as tAdvisor for effective data analytics using Big Data Analytics approach for increasing productivity in tourism sector. Various challenges and issues related with the implementation of Big Data Analytics is also discussed in the paper.

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Software Testing is a very important phase in the cycle of software development. It is the only phase which ensures the reliability on the software. Generally 40-50% of the software development cost is spent on this phase. Though many automatic testing tools are present, but still most research is required in this field to reduce cost and time allotted for this phase. Test Oracle is a process which ensures that expected Oracle is obtained for the given input which increase automation process. In search -based test generation techniques test inputs are generated in a large amount. To generate expected output for each and every test input is quite a difficult and time taking job. Test -Oracle is a mechanism that can determine the expected or predicted output for each given test input. In this paper, two approaches are discussed for generation of expected outputs with the help of artificial neural network and data mining approach i.e. decision tree.

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