To test software products effectively, large number of test cases are designed. But it is nearly impossible to execute all the tests due to tight time constraints and some other reasons such as availability of experts etc. Due to these reasons, the necessity of reducing the number of test cases comes into existence. Test case prioritization helps to reduce the number of test cases. This paper presents an approach that focuses on prioritizing the test cases. Proposed approach prioritizes test cases on the basis of requirements identified and risk factors that can occur in a software project.

Cloud computing is a new model for providing computing services, where computing is delivered as a service over the Internet. Cloud computing is a very popular choice among SMEs because computing services are provided at much lower prices compared to their own IT infrastructure. In the cloud computing model, computing services and data storage are outsourced to cloud service providers. Customers do not have full control over applications and their data. Therefore, an added overhead of security risks comes along, and the security of data becomes the primary concern for cloud customers when considering cloud services. This paper explores various deployment models of cloud computing services and IoT (Internet of Things), figures out associated data security issues with them, and suggests a metric-based solution to assess security provided by cloud services.

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details, and poor data collection practices can risk data quality and integrity. Some of the examples of research misconduct and unethical research practices are fabricating, falsifying, collecting or selecting data for getting desired results, and testing until the desired results are obtained.

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