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The public Jira dataset is used to (1) determine the accuracy of time estima- tion for different project types and (2) identify if there are characteristics of issues that result in more or less accurate time estimations. Statistical analysis is done using an analysis of variance (ANOVA).

License: MIT License

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jira-dataset-time-estimate-study's Introduction

Identifying Patterns of Inaccurate Time Estimations for Issue Resolution in Software Development

Getting Started

This project's working branch is main, and it has the following directory structure:

[REPOSITORY-Name]
	├── LICENSE.md
	├── requiremnets.txt
	├── README.md
	├── data
	│   ├── raw
	│   └── processed
	├── docs
	│   └── support documentation and project descriptions
	└── src
	    └── all executbale script files

Running the App

  1. Clone the project
    git clone https://github.com/abroniewski/Jira-Dataset-Time-Estimate-Study.git
  2. Install dependencies listed in requirements.txt
  3. Download The Public Jira Dataset into a ../data directory at the project parent level.

Development

The goal of this project is to:

  1. Determine the accuracy of time estimation for different project types
  2. Identify if there are characteristics of issues that result in more or less accurate time estimations

The work is completed in stages:

  1. Explore to see what different types of issues exist and if all of them are relevant to the study
  2. Explore statistics for each project (number of issues, average number of sub-tasks per issue, issues types, length of time of project, overlap between creators and assignee's)
  3. Create subsets of project data
  4. Determining the typical accuracy of time estimates to resolve issues
  5. Identify if there are specific characteristics of issues that are correlated with inaccurate time estimates or accurate time estimates using an analysis of variance (ANOVA)

Authors

Adam Broniewski

Himanshu Choudhary

Tejaswini Dhupad

Luiz Fonseca

License

This project is open source software licensed as MIT.

Acknowledgments

jira-dataset-time-estimate-study's People

Contributors

abroniewski avatar himanshudce avatar tejaswinidhupad avatar

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