A framework of automated project Management automation using artificial intelligence

  • nabila latif lgu
Keywords: AI – Artificial Intelligence, BPR - Business Process Reengineering, BPM – Business Process Management, SE - Software Engineering, SEM – Software Engineering Management, SPM – Software Process Management, SPI – Software Process Improvement


This paper points an analytical study on the software development organization to understand automation technologies and their use in Software Engineering Management (SEM) processes. Software Project Management (SPM) deals with planning, controlling, executing and monitoring. SPM approaches are more centering towards the basic necessity for the achievement of software project management. It has been trying to oversee software development utilizing existing project management procedures driven by software development organization and this is one of the problem area for this study. This paper is a systematic examination for the prerequisites and consideration of BPR in SPM, investigates to spot and emphasis the significant success factors for the execution of a BPR utilizing advantages of Artificial Intelligence (AI) in software development organization. BPR is organizational technique that improves capacity to react to difficulties of qualitative outcome by change and improvement in software engineering procedures, profitability, product quality and competitive advantages. AI will be the best methodology and extent of automation SEM processes for software development organization. This paper also highlights an applied perspective on software engineering model move for upgrades in ability of project managers to deal with agile thinking and problem solving for advancement of SPM utilizing Artificial Intelligence.


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How to Cite
nabila latif, “A framework of automated project Management automation using artificial intelligence”, IJCBS, vol. 1, no. 3, Aug. 2020.