Volume-4 Issue-1, January 2024 – Indian Journal of Software Engineering and Project Management (IJSEPM)

B902204020724

IJSEPM Journal — Sat, 27 Jan 2024 12:53:02 +0000

The Indian Journal of Software Engineering and Project Management (IJSEPM) has ISSN 2582-8339 (online) which is an online, open access, peer reviewed, periodical half yearly international journal. This journal is published by Lattice Science Publication (LSP) in the months of January and July. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Software Engineering and Project Management that covers Software Life Cycles Development Models, Project Planning and Management, Software Requirements Analysis, Software Design Analysis, Software Testing and Integration, Software Implementation and Maintenance, Software Maintenance and Maintainability, Software Metrics or Attributes, Software Risk Assessment and Containment, Reliability, Software Quality and Quality Assurance, Software Cost Estimation, Object Oriented Developments, Object Oriented Metrics, Object Oriented Testing and Formal Notations. Author (s) can submit articles electronically round the year. The Editors reserve the right to reject articles without sending them out for review. Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. Briefs and research notes are not published in this journal. Submitted articles must be within the scope of the journal. All articles go through a double-blind peer review policy. After the final acceptance of the article, based upon the detailed review process and submission of required documents, the article will publish online immediately. However, the assignment of the article of specific issue (see archive) will be taken up by the editors later; and the author will be intimated accordingly. For theme based special issues, time bound special calls for articles will be announced. #Ethics of Software Engineering and Management #Software Life Cycles Development Models #Project Planning and Management #Software Requirements Analysis #Software Design Analysis #Software Testing and Integration #Software Implementation and Maintenance #Software Maintenance and Maintainability #Software Metrics or Attributes #Software Risk Assessment and Containment #Reliability #Software Quality and Quality Assurance #Software Cost Estimation #Object Oriented Developments #Object Oriented Metrics #Object Oriented Testing #Formal Notations #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Artificial Intelligence in Project Management: A Study of The Role of Ai-Powered Chatbots in Project Stakeholder Engagement
Herat Joshi

Herat Joshi, Department of Project Manager, Great River Health System, Burlington, Iowa (United States of America (USA).

Abstract: Artificial Intelligence (AI) is increasingly becoming a cornerstone in the evolution of project management. Its capabilities extend beyond simple automation, fostering improved decision-making processes and enhancing collaborative efforts. Among the various AI tools available, chatbots stand out as particularly transformative for project management. This study delves into the role of AI-powered chatbots in project stakeholder engagement, a critical aspect of successful project management. Chatbots, powered by sophisticated AI algorithms, can provide continuous support and interaction with project stakeholders. This is particularly vital in managing complex projects where continuous communication and prompt responses can significantly influence project success. The study examines how these AI-driven chatbots facilitate stakeholder engagement, focusing on key benefits such as improved communication, increased stakeholder satisfaction, and better overall project outcomes. Through a detailed analysis, we have identified that chatbots enhance communication by offering stakeholders immediate, personalized responses, thereby reducing response times and improving the efficiency of information exchange. This immediacy and personalization contribute to heightened stakeholder satisfaction, as stakeholders feel their concerns and queries are addressed promptly and effectively. Furthermore, our findings suggest that these improvements in stakeholder engagement directly correlate with enhanced project outcomes, including better adherence to timelines, improved project quality, and increased likelihood of meeting project objectives. However, the deployment of chatbots in project management is not without its challenges. One significant hurdle is the need for advanced natural language processing (NLP) capabilities. Effective chatbots must understand and process complex human language nuances to interact effectively with stakeholders. Another challenge observed is the potential for chatbots to become disruptive or annoying. This can occur when chatbots fail to provide relevant or accurate information, or when their interaction style does not align with stakeholder expectations. In conclusion, AI-powered chatbots hold substantial promise for revolutionizing stakeholder engagement in project management. While they present remarkable benefits in improving communication, stakeholder satisfaction, and project outcomes, there are challenges that need to be addressed. These include enhancing NLP capabilities and fine-tuning the interaction style of chatbots to suit diverse stakeholder groups. With these improvements, AI-powered chatbots could significantly contribute to the success of various projects, marking a new era in project management where AI plays a pivotal role in stakeholder engagement and overall project success.

Keywords: Artificial Intelligence (AI), Project Management, Chatbots, Stakeholder Engagement, Communication Efficiency, Natural Language Processing (NLP), Project Outcomes, Stakeholder
Scope of the Article: Communication

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A9019014124

IJSEPM Journal — Sat, 27 Jan 2024 12:44:42 +0000

“A Study on the Software Development Life Cycle–Waterfall Model” at a Aviation Management Consultant
Pranav S Kayande¹, Sidharth Phadnis²

¹Prof. (Dr.) Pranav S Kayande, D Y Patil B School, Tathawade, Pune (Maharashtra), India.

²Mr. Sidharth Phadnis, Business Systems Analyst and Scrum Master, Real Page Inc, Pune (Maharashtra), India.

Abstract: We have selected the study of software development life cycle- waterfall model, herein after is referred to as SDLC for brevity purpose. We have been allowed to study in the software firm – Aviation Management Consultants. The researchers studied the software named –“Routonomics” developed by the firm. The software enables the airlines to prepare the business plan with 5 years perspective. The purpose of selection of this subject is that SDLC- Waterfall Model is the reference model of any software related work. Many SDLC models evolved from this basic concept. Further, the firm introduced a small change in one of the reports to enable us to understand the practical perception of the SDLC. The researchers were involved in the simulated development of small change in the report.

Keywords: SDLC, Aviation Management System, Project Management.
Scope of the Article: Ethics of Software Engineering and Management

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