Prediction Of Scope Creep Factors In Software Projects Using Logistic Regression Analysis

Abstract

Scope creep is a persistent challenge inherent in software project management that significantly affects the success of software projects. This study aimed to establish a logistic regression modelling strategy for assessing, the impact of scope creep factors on successful software project management. The objective was to identify and quantify the key factors that contribute to scope creep and determine their influence on the likelihood of a project's success or failure. To achieve this, a comprehensive dataset was collected which encompassed different software development projects across different countries, domains and industries. The dataset included information on project scope, project timelines, development team size, budget allocation, user involvement, and other relevant factors. Additionally, data was collected on scope creep events, such as changes in project requirements, feature additions, and uncontrolled expansion of the software project scope. Logistic regression analysis was employed to assess the relationships between scope creep factors and project success. Several factors such as human factors, measurement factors and method factors were found to be statistically significant at the 0.001 level. Model validation using F-statistic, R-squared and residual plots established goodness of fit of the developed models. By identifying statistically significant factors and their impact on project outcomes, the outcomes of this study can help project managers and stakeholders make more informed decisions regarding scope management and risk mitigation strategies. This research therefore makes a significant contribution to the field of software project management by providing a data-driven approach to understanding and managing scope creep. The study findings also inform best practices for scope management that will help organizations improve their project success rates in an increasingly dynamic and evolving software development landscape.