Open Source Software - Social Network and Requirements Engineering

Name: Open Source Software - Social Network and Requirements Engineering
Creator: Deepa Iyer
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Other

Citation Author(s):: Deepa Iyer

Kalle Lyytinen

William Robinson
Submitted by:: Deepa Iyer
Last updated:: Fri, 04/21/2023 - 16:21
DOI:: 10.21227/z18y-ad77

90 views

Categories:

Other

Keywords:

open source

social network

requirements engineering

No Ratings Yet

ACCESS DATASET CITE SHARE/EMBED

Abstract

The dataset contains social network measures, requirements attributes and project effectiveness metrics from a sample of 255 open source software projects housed in GitHub.

Instructions:

None

Dataset Files

Dataset.xlsx (Size: 2.09 MB)

QUESTIONS?

Send Author a Private Message
Report a problem with this Dataset

Upload your Dataset

How to Upload Dataset Files Directly to AWS

IEEE DataPort Subscribers may upload their dataset files directly to IEEE DataPort's AWS S3 file storage. Please read the Upload Your Files directly to the IEEE DataPort S3 Bucket help topic for detailed instructions.

You will need the following information to complete your upload:

Your AWS Access Key and Secret key, which can be found on your IEEE DataPort User Profile.
DATASET TYPE: data
USERID: 1353045
DATASETID: 14627

Dataset Access

How to access this dataset

This dataset requires an IEEE DataPort Subscription.

For all the IEEE Society Members, please login now to the IEEE DataPort platform to access your FREE IEEE DataPort Subscription.

Subscribe Now

Dataset Citation

Deepa Iyer, Kalle Lyytinen, William Robinson, "Open Source Software - Social Network and Requirements Engineering", IEEE Dataport, April 21, 2023, doi:10.21227/z18y-ad77

@data{z18y-ad77-23,
doi = {10.21227/z18y-ad77},
url = {https://dx.doi.org/10.21227/z18y-ad77},
author = {Deepa Iyer and Kalle Lyytinen and William Robinson},
publisher = {IEEE Dataport},
title = {Open Source Software - Social Network and Requirements Engineering},
year = {2023} }

TY - DATA
T1 - Open Source Software - Social Network and Requirements Engineering
AU - Deepa Iyer; Kalle Lyytinen; William Robinson
PY - 2023
PB - IEEE Dataport
UR - 10.21227/z18y-ad77
ER -

Deepa Iyer, Kalle Lyytinen, William Robinson (2023). Open Source Software - Social Network and Requirements Engineering. IEEE Dataport. https://dx.doi.org/10.21227/z18y-ad77

Deepa Iyer, Kalle Lyytinen, William Robinson 2023 Open Source Software - Social Network and Requirements Engineering. Available at: https://dx.doi.org/10.21227/z18y-ad77

Deepa Iyer, Kalle Lyytinen, William Robinson.(2023). "Open Source Software - Social Network and Requirements Engineering." Web,

1. Deepa Iyer, Kalle Lyytinen, William Robinson. Open Source Software - Social Network and Requirements Engineering [Internet]. IEEE Dataport; 2023. Available from: https://dx.doi.org/10.21227/z18y-ad77

Deepa Iyer, Kalle Lyytinen, William Robinson, "Open Source Software - Social Network and Requirements Engineering,", doi: 10.21227/z18y-ad77.

Share / Embed

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

Share a link to this dataset

Permalink: https://ieee-dataport.org//documents/open-source-software-social-network-and-requirements-engineering

DOI Link: https://dx.doi.org/10.21227/z18y-ad77

Datasets

Standard Dataset

Open Source Software - Social Network and Requirements Engineering

Abstract

Instructions:

Dataset Files

QUESTIONS?

More like this Dataset

List of Indexed Journal: Web of Science, Scopus, and DOAJ

Dataset for classification of handwritten and printed text in a Doctor's prescription

Stock Market Tweets Data

Hotel Reviews from around the world with Sentiment Values and Review Ratings in different Categories for Natural Language Processing

SU-AIS BB-MAS (Syracuse University and Assured Information Security - Behavioral Biometrics Multi-device and multi-Activity data from Same users) Dataset

A Dataset on Online Learning-based Web Behavior from Different Countries Before and After COVID-19