Paper Title

A Comparative Study of Agile, Iterative, and Waterfall SDLC Methodologies in Salesforce Implementations

Article Identifiers

Registration ID: IJNRD_226973

Published ID: IJNRD2301390

DOI: Click Here to Get

Authors

UMABABU CHINTA , SHALU JAIN , PANDI KIRUPA GOPALAKRISHNA PANDIAN

Keywords

Agile, Iterative, Waterfall, SDLC, Salesforce CRM, methodology comparison, enterprise implementation

Abstract

This comparative study investigates the implementation of Salesforce Customer Relationship Management (CRM) systems using three distinct Software Development Life Cycle (SDLC) methodologies: Agile, Iterative, and Waterfall. The primary objective is to determine which methodology provides the most efficient framework in terms of flexibility, time to market, and stakeholder satisfaction within large enterprise environments. The Agile methodology, known for its flexibility and iterative delivery of functionality, is hypothesized to provide rapid deployment and high adaptability to changing requirements. In contrast, the Waterfall methodology, characterized by its structured and sequential approach, is anticipated to offer predictability and clear, well-defined project phases, which could be beneficial in highly regulated industries. The Iterative model, which combines elements of both Agile and Waterfall, is supposed to offer a balance between structure and flexibility, potentially leading to optimized process control and risk management. The study employs a qualitative analysis through case studies and interviews with project managers and development teams across various industries that have implemented Salesforce using these methodologies. Quantitative data are gathered through performance metrics such as project completion time, budget adherence, and post-implementation defect rates. This multi-faceted approach allows for an in-depth understanding of the implications of each methodology on the system’s deployment and operational success. Findings suggest that Agile methodologies tend to enhance customer satisfaction and team morale by promoting more frequent communication and collaboration. However, this can sometimes lead to scope creep if not properly managed. The Waterfall approach, while less flexible, provides a straightforward, disciplined trajectory, making it easier for teams with less experience in CRM implementations to follow a definitive plan. The Iterative approach is noted for its ability to allow learning and adaptation, which is particularly effective in projects where new user requirements emerge sporadically. This study contributes to the field by providing empirical insights into how different SDLC methodologies influence the implementation of complex CRM systems like Salesforce. It also offers practical guidance for organizations in selecting the most appropriate development approach based on their specific operational needs and project constraints. The study concludes with recommendations for future research, particularly in exploring hybrid models that could combine the strengths of these methodologies to further enhance the efficiency and effectiveness of Salesforce CRM implementations in diverse organizational contexts.

How To Cite (APA)

UMABABU CHINTA, SHALU JAIN, & PANDI KIRUPA GOPALAKRISHNA PANDIAN (January-2023). A Comparative Study of Agile, Iterative, and Waterfall SDLC Methodologies in Salesforce Implementations. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(1), d759-d771. https://ijnrd.org/papers/IJNRD2301390.pdf

Issue

Volume 8 Issue 1, January-2023

Pages : d759-d771

Other Publication Details

Paper Reg. ID: IJNRD_226973

Published Paper Id: IJNRD2301390

Downloads: 000122003

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301390.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301390

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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Current Issue: Volume 10 | Issue 10 | October 2025

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