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Sharma, Sarika, Kumar, Deepak.  2019.  Agile Release Planning Using Natural Language Processing Algorithm. 2019 Amity International Conference on Artificial Intelligence (AICAI). :934–938.
Once the requirement is gathered in agile, it is broken down into smaller pre-defined format called user stories. These user stories are then scoped in various sprint releases and delivered accordingly. Release planning in Agile becomes challenging when the number of user stories goes up in hundreds. In such scenarios it is very difficult to manually identify similar user stories and package them together into a release. Hence, this paper suggests application of natural language processing algorithms for identifying similar user stories and then scoping them into a release This paper takes the approach to build a word corpus for every project release identified in the project and then to convert the provided user stories into a vector of string using Java utility for calculating top 3 most occurring words from the given project corpus in a user story. Once all the user stories are represented as vector array then by using RV coefficient NLP algorithm the user stories are clustered into various releases of the software project. Using the proposed approach, the release planning for large and complex software engineering projects can be simplified resulting into efficient planning in less time. The automated commercial tools like JIRA and Rally can be enhanced to include suggested algorithms for managing release planning in Agile.
Narwal, Priti, Kumar, Deepak, Sharma, Mayank.  2016.  A Review of Game-Theoretic Approaches for Secure Virtual Machine Resource Allocation in Cloud. Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies. :93:1–93:5.

Cloud Computing is a new evolutionary and dynamic platform that makes use of virtualization technology. In Cloud computing environment, virtualization abstracts the hardware system resources in software so that each application can be run in an isolated environment called the virtual machine and hypervisor does the allocation of virtual machines to different users that are hosted on same server. Although it provides many benefits like resource-sharing, cost-efficiency, high-performance computability and decrease in hardware cost but it also imposes a number of security threats. The threats can be directly on Virtual Machines (VMs) or indirectly on Hyper-visor through virtual machines that are hosted on it. This paper presents a review of all possible security threats and also their countermeasures by using Game-Theoretic approaches. Game Theory can be used as a defensive measure because of independent and strategic rational decision making nature of cloud users where each player would compete for best possible solution