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Big data analysis has a huge importance not only to students and researchers but also to small, medium and large businesses. This is mainly due to the fact that big data is almost abundant storage of critical information. Any kind of products and services that people enj oy or do not find very helpful, at least a handful of people around the world will always post about it on social media. In this paper, we have discussed a proper methodology for the utilization and interpretation of twitter data which lead to some interesting insights into the world of public opinions about the iPhone 6. We also included various feature popularities and male-and-female reactions to the product. We found mixed opinions, most of which were consistent with the general comments and opinions expressed by users.

A software testing process that tries to uncover new bugs for an existing system from the previous test suite due to expansion of the software is known as Regression Testing. The test suite will hold the same test cases that were tested for the system in its earlier version. For regression testing, prioritizing the test cases is always a complex as well as challenging task. In fact researchers have been proposing many approaches to arrange the test cases so that the cost of the software can be reduced in terms of human labor, time, and money as well. Many such approaches have shown quite good results too. In this paper, we have proposed a new approach of prioritizing the test cases that extends hamming distance based prioritization with code coverage based techniques. Our proposed method helps to unfold the previous bugs as well as the newly arrived bugs at the early cycle of the regression testing.