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https://github.com/msichterman/csce-496-project
Semester long project for CSCE 496: Empirical Software Engineering
https://github.com/msichterman/csce-496-project
jupyter-notebook python research-project travis-ci travistorrent
Last synced: 4 days ago
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Semester long project for CSCE 496: Empirical Software Engineering
- Host: GitHub
- URL: https://github.com/msichterman/csce-496-project
- Owner: msichterman
- License: gpl-2.0
- Created: 2020-08-27T18:39:17.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-11-25T20:33:26.000Z (about 4 years ago)
- Last Synced: 2024-11-07T13:41:36.277Z (about 2 months ago)
- Topics: jupyter-notebook, python, research-project, travis-ci, travistorrent
- Language: Jupyter Notebook
- Homepage:
- Size: 3.41 MB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Travis, Why Do the Builds Keep Failing?: An Analysis on CI Failure Causes and Severity
**Authors:** Matt Sichterman, Easton Joachimsen, and Colin Cummings
This repository is home to the artifacts from the semester long project for CSCE 496: Empirical Software Engineering. This project consisted of five milestones with the end goal of conductiing an experiment/analysis on a selected topic and then writing an [IEEE conference proceedings](https://www.ieee.org/conferences/publishing/templates.html) paper. We chose to do our study on data from Travis CI and GitHub via the [TravisTorrent data set](https://travistorrent.testroots.org/) in an effort to analyze the main causes of continuous integration build failures and categorize their severity. Our findings were presented and elaborated upon in our final report.
## Artifacts in this Repository
### Milestone Submissions:
* [Milestone 1 (Project Proposal)](https://github.com/msichterman/csce-496-project/blob/master/Milestone%201.docx)
* [Milestone 2 (Rough Draft)](https://github.com/msichterman/csce-496-project/blob/master/Milestone2.pdf)
* [Milestone 4 (Final Report)](https://github.com/msichterman/csce-496-project/blob/master/FinalReport.pdf)
* [Final Overleaf Zip](https://github.com/msichterman/csce-496-project/blob/master/ImperialEngineersOverleaf.zip)
### Writing Center Feedback
* [Feedback](https://github.com/msichterman/csce-496-project/blob/master/Writing%20Center%20Feedback.pdf)
### Data Set
* [TravisTorrent 3 Projects with Tests](https://github.com/msichterman/csce-496-project/blob/master/TravisTorrent-3-Projects-With-Tests.csv)
### Data Analysis Code
* [Python Jupyter Notebook](https://github.com/msichterman/csce-496-project/blob/master/CSCE496_Project.ipynb)
### Related Work
* [Oops, My Tests Broke the Build- An Explorative Analysis of Travis CI with GitHub](https://github.com/msichterman/csce-496-project/blob/master/Oops%2C%20My%20Tests%20Broke%20the%20Build-%20An%20Explorative%20Analysis%20of%20Travis%20CI%20with%20GitHub.pdf)
* [How Does Contributors’ Involvement Influence the Build Status of an Open-Source Software Project](https://github.com/msichterman/csce-496-project/blob/master/How%20Does%20Contributors%E2%80%99%20Involvement%20Influence%20the%20Build%20Status%20of%20an%20Open-Source%20Software%20Project_.pdf)
* [How Open Source Projects use Static Code Analysis Tools in Continuous Integration Pipelines](https://github.com/msichterman/csce-496-project/blob/master/How%20Open%20Source%20Projects%20use%20Static%20Code%20Analysis%20Tools%20in%20Continuous%20Integration%20Pipelines%20(1).pdf)
* ... and more (elaborated on in the final paper)
### Toptal Tracker Time Logs
* [Matt](https://github.com/msichterman/csce-496-project/blob/master/ToptalTrackerMatt.pdf)
* [Easton](https://github.com/msichterman/csce-496-project/blob/master/ToptalTrackerEaston.pdf)
* [Colin](https://github.com/msichterman/csce-496-project/blob/master/ToptalTrackerColin.pdf)
## How to Run the Data Analysis Code
1. Download this repository as a whole, or just download [CSCE496_Project.ipynb](https://github.com/msichterman/csce-496-project/blob/master/CSCE496_Project.ipynb) and [TravisTorrent-3-Projects-With-Tests.csv](https://github.com/msichterman/csce-496-project/blob/master/TravisTorrent-3-Projects-With-Tests.csv) and place them in the same directory.
2. Open the directory methioned aboce in the Jupyter Notebook software of your choice. We used [Google Colab](https://colab.research.google.com/) during our project, but tested the final file in Visual Studio Code with the [Jupyter extension](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter) (recommended method to run).
3. Ensure the data set is imported correctly.
4. Run the sections labeled `RQ1 Analysis` and `RQ2 Analysis` to see the results for our research questions, respectively.