An Empirical Study on Impact of Project Management Constraints in Agile Software Development

Abstract

Goal: The Study aims to investigate the impact of project management constraints in fixed-cost and fixed-scheduled Agile software development contracts using multigroup analysis (MGA) to perform repeated comparisons of parameters across groups of Scrum or Kanban methodologies using structural equation modelling (SEM) Design/Methodology/Approach: A web-based survey is used to collect responses to a questionnaire based on project management constraints for Kanban and Scrum method-based Agile software development projects from people working on projects fixed-cost and fixed-schedule contracts and then analyzed with the help of multi-group analysis using SmartPLS 4.0 Results: Risk management has a mediating effect between project scope, resources, and delivery quality. MGA implied that the Kanban method is better at managing resources and will have a higher impact on the quality of deliverables than the Scrum method. Limitations of the investigation: Evaluating the suitability of various multi-group analysis approaches requires more than just our empirical example using satisfactory data and other project management constraints. Practical implications: The findings of the study suggest that hypothesis testing should be carried out for a distinct model parameter between study groups, whenever they are comparing more than two group. Originality/Value: This study helps in contributing to exploring PLS route modelling by the introduction of the original non-parametric confidence set approach based on a comparison of parameter estimations and bootstrap confidence intervals. The study investigates the impact of several project management constraints on to fixed-cost Agile software development projects.

Development of the ontological model of situation management of projects based on SCRUM under risky conditions

“…The results of our study, in contrast to [6][7][8][9][10], are based on the combined application of situation management methods, formalized and expert methods, as well as ontological engineering for Scrum-based project management and are characterized by the following features:…”

“…Research in work [8] is based on flexible software development projects with a fixed cost and a fixed schedule. It uses multi-group analysis (MGA) to perform repeated comparisons of parameters between groups of Scrum or Kanban methodologies based on structural equation modeling (SEM).…”

“…Our review [4][5][6][7][8][9][10] showed that the existing models and methods of Scrum-based project management under risky conditions do not provide opportunities for describing the situation and generating management decisions appropriate to the current situation. Crisis situations in projects arising under conditions of uncertainty are quite difficult to predict and take appropriate preventive measures in time.…”

Analysis of project management principles with the Scrum framework in systems development

“…The event is Time box limited to a maximum of three hours. Oliveira et al (2023) present an analysis of the application of the Scrum method in Federal Universities, in which they show greater productivity and improvement in team learning as consequences of the use of the method, highlighting that two sub-attributes (Communication and Collaboration) were identified as benefits in the use of this method, which is corroborated by Sathe and Panse (2023), which highlight that agile project management places a strong emphasis on Teamwork and Communication, which is especially useful for managing risks. Arruda (2020) implemented and analyzed the application of Scrum in a private software development company in Florianópolis -SC, which had been experiencing management problems and was unable to deliver its projects on time.…”