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In the area of software development, Computer Science PhD topics encompass software defect prediction, which plays a crucial role in the software development lifecycle. Detecting defect modules during software construction is facilitated by defect prediction techniques. The utilization of software defect prediction simplifies the testing process; however, accurately predicting defects remains a challenging task. Given its importance, extensive research is being conducted in this area to achieve precise and reliable software defect prediction. Computer Science PhD scholars can delve into this expansive research scope to advance the field.
Over the past years, Cloud computing has laid its importance as a modern technology dealing with distributed services to its users. Cloud computing has three main aspects: SaaS (software as a service), PaaS (platform as a service) and IaaS (infrastructure as a service) based on the service they provide. In cloud services, the biggest challenge is to successfully address the security and privacy issues associated with their deployment. This has increased the possibility of research in the field of cloud computing.
Resource allocation and management in cloud computing is a significant concern, given its distributed nature. Cloud environments require effective Resource Allocation Strategies (RAS) to optimize resource utilization and allocation for users while meeting the demands of cloud applications. As this is a trending area of the PhD topics for CSE, scholars can focus on providing novel approaches for resource allocation and management in cloud computing. Exploring innovative strategies in this area is essential for advancing the field and addressing the challenges of cloud-based resource management.
Availability of multimedia data has been increased to a more significant extent due to advancement in various technologies. For processing these data, data mining approaches are carried out where specific techniques will be used to extract the relevant data from an extensive collection of data. Data mining can be used in various applications dealing with prediction extending from weather to health (disease prediction). The possibility of research on the field of prediction using data mining is widely open.
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