Business Process Reengineering: A Scope of Automation in Software Project Management using Artificial Intelligence
Krunal Bhavsar1, Vrutik Shah2, Samir Gopalan3
1Krunal Bhavsar*, Department of Computer Science and Engineering, Indus University, Ahmedabad, Gujarat, India.
2Dr. Vrutik Shah, Research Guide, Department of Computer Science & Engineering, Indus University, Ahmedabad, India.
3Dr. Samir Gopalan, Research Co-Guide, Business Administration & Management, Indus University, Ahmedabad, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3589-3594 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2640129219/2019©BEIESP | DOI: 10.35940/ijeat.B2640.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research paper aims an analytical study on the software development organization insight into trending automation technologies and their implementation Software Engineering Management (SEM) processes. Software Project Management (SPM) is a scientific art for planning, controlling execution and monitoring. SPM approaches are more focusing towards the essential requirement for the success of software project development. It has been very challenging to manage software development using existing project management procedures driven by software development organizations and this is one of the areas of problem statement for this research. This paper discusses an analytical study for the requirements and consideration of BPR in SPM, explores to spot and emphasizes the important success factors for the execution of a BPR using benefits of Artificial Intelligence (AI) in software development organization. BPR is organizational mechanism that improves ability to respond to challenges of qualitative result by change and improvement in software engineering processes, productivity, product quality and competitive advantages. AI will be the best approach and scope of automation SEM processes for software development organizations. This paper also represents a conceptual view of software engineering model shift for improvements in capability of project managers to handle agile thinking and problem solving for betterment of SPM using Artificial Intelligence.
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.