Impact of Agile Methodology in IT Industries: A Comparative Study

Nafeeul Alam Walee, Tasnim Akter Onisha, Azeezat Akinola, Gijs Van Deventer, Lei Chen

Research output: Contribution to book or proceedingConference articlepeer-review

Abstract

Against the backdrop of the ever-evolving IT industry, this comparative study explores the differences among various project management methods, highlighting key distinctions between Agile and traditional approaches by evaluating the benefits of Agile and the drawbacks of not adopting agile methods. Agile practices have gained recognition for their adaptability and efficiency, addressing dynamic industry demands. Our multifaceted approach, which examines the pros and cons of Agile methodologies across various industries employs different machine learning algorithms-logistic regression, linear regression, and decision tree regressor. The study quantitatively measures Agile's impact compared to other methodologies using prediction probabilities, classifications, confusion metrics, R-squared, and Mean Squared Error (MSE) for performance analysis. Results highlight that linear regression outperforms other models with 71 % accuracy and 82 % precision. These findings offer valuable insights into understanding Agile's impact on IT industries, encouraging further exploration and refinements to make informed decisions on project management strategies and fostering future research to enhance IT project success rates.

Original languageEnglish
Title of host publicationSoutheastCon 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1167-1172
Number of pages6
ISBN (Electronic)9798350317107
DOIs
StatePublished - 2024
Event2024 IEEE SoutheastCon, SoutheastCon 2024 - Atlanta, United States
Duration: Mar 15 2024Mar 24 2024

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)1091-0050
ISSN (Electronic)1558-058X

Conference

Conference2024 IEEE SoutheastCon, SoutheastCon 2024
Country/TerritoryUnited States
CityAtlanta
Period03/15/2403/24/24

Keywords

  • Agile Method
  • Comparison Study
  • Machine Learning
  • PM in IT industries
  • Project Management

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