2022/02/25 by Mahta Taghi Zadeh, Zadeh, Mahta Taghi, Rasha Kashef +1
Business, Management and Accounting · Computer Science · #Big Data and Business Intelligence #FOS: Computer and information sciences #Software Engineering (cs.SE) #cs.SE
paper · pdf · doi:10.48550/arxiv.2203.00430
6 pages
arxiv created 2022/02/25 · openalex publication_date 2022/02/25 · arxiv updated 2022/03/02 · openalex created_date 2022/05/05 · openalex updated_date 2026/07/28
This study aims to assist Company leaders and management team in providing more accurate time and cost estimations for future software projects. This paper focuses on analyzing the relationship between project complexity and cost and time overrun. The sample data of around 50 projects are collected from the Changepoint database. The two research hypotheses were defined and tested using statistical techniques. The quantitative analysis includes descriptive analysis and regression modelling. Experimental results show a strong positive linear relationship between project complexity and cost and time overrun. Based on the study outcome, there is a need to focus on the planning phase of complex projects and allocate more time and budget to estimate the completion date and the initial budget of this type of project more accurately.