Software Estimation Using STACK Tool

EasyChair Preprint 15759

Abstract

Software estimation is a critical aspect of project management, helping teams predict resource requirements, timelines, and costs. Predicting software development projects' effort, time, and resources is the goal of software estimation, a fundamental project management practice. Project planning, budgeting, and resource allocation all depend on accurate estimation, which ultimately affects project success. This paper investigates the application of the STACK tool for software estimation, focusing on its methodology and impact on project management. By leveraging historical data and advanced algorithms, the STACK tool offers accurate, efficient, and scalable estimates. This abstract explores the use of STACK, a  modern toolset designed to streamline software estimation processes. STACK integrates various estimation techniques and tools into a cohesive platform, enhancing accuracy and efficiency in project planning. Construction project management software called STACK is hosted in the cloud. COCOMO, FPA, and Monte Carlo Simulation are just a few of the estimation techniques that are included in STACK. Depending on the particulars of the project and the availability of the data, users can utilize various approaches thanks to this integration. The tool simplifies the estimating process by providing all construction solutions, from estimates to closeout. Additionally, STACK rearranges assessing costs for complex undertakings by means of instinctive estimation, assessment, and proposition apparatuses.   

Keyphrases: Estimation Techniques, Realtime monitoring, collaboration, customization, software estimation, visualization

@booklet{EasyChair:15759,
  author    = {Sanket Mithbavkar and Madhuri Gedam and Hemangi Satam and Aparna Majare and Siddharth Singh},
  title     = {Software Estimation Using STACK Tool},
  howpublished = {EasyChair Preprint 15759},
  year      = {EasyChair, 2025}}