Enhance maintainability and usability of cloud-based platforms for content management solutions

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The vibrant market of content management solutions (CMS), in particular Platform as a Service (PaaS) Cloud CMS offerings, expands rapidly: it grew at a rate of 8.6% per year to US $5.1 billion in 2013. CMS enables rapid delivery of personalized content to users, simplifies user collaboration, improves access to information, and streamlines content management processes, while meeting compliance requirements. This study will focus on improving user experience with Cloud-based PaaS CMS software product called WebPal, developed by Palomino. We will achieve this goal by tackling two objectives: 1) reduce the number of defects that disrupt workflow of CMS end users and 2) streamline WebPal end users approval/update of product workflow. Although these objectives are relevant to the CMS cloud provider, no solution currently exists that satisfies Palomino's requirements. Existing techniques will be leveraged and novel approaches will be developed and synthesized to deliver the solution needed to achieve these objectives. The first objective will be reached by introducing defect root cause analysis process that will identify gaps in existing software development processes and suggest corrective actions needed to close the gaps. The second objective will be reached by building a machine-learning-based classifier that will enable automatic approval of low-risk changes to the content. This research will strengthen marketability of Palomino, ensuring that this Canadian company is a strong contender in the rapidly growing CMS PaaS space. The research will also greatly improve user experience of Palomino's clients, reducing expenses on their internal processes.