<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The goal of DevOps is to cut down the project timelines, increase the productivity, and manage rapid development-deployment cycles without impacting business and quality. It requires efficient sprint management. The objective of this paper is to develop different sprint level project management tools for quick project level Go/No-Go decision making (using real-time projects data and machine learning), sprint estimation technique (gamified-consensus based), statistical understanding of overall project management maturity, project sentiment &amp; perception. An attempt is made to device a model to calibrate the perception or the tone of a project culture using sentiment analysis.</p></abstract>

The goal of DevOps is to cut down the project timelines, increase the productivity, and manage rapid development-deployment cycles without impacting business and quality. It requires efficient sprint management. The objective of this paper is to develop different sprint level project management tools for quick project level Go/No-Go decision making (using real-time projects data and machine learning), sprint estimation technique (gamified-consensus based), statistical understanding of overall project management maturity, project sentiment & perception. An attempt is made to device a model to calibrate the perception or the tone of a project culture using sentiment analysis.

DevOps Project Management Tools for Sprint Planning, Estimation and Execution Maturity

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The goal of DevOps is to cut down the project timelines, increase the productivity, and manage rapid development-deployment cycles without impacting business...

DevOps Project Management Tools for Sprint Planning, Estimation and Execution Maturity

Publié en ligne: 12 juin 2020

Pages: 79 - 92

Reçu: 26 mai 2019

Accepté: 23 mars 2020

DOI: https://doi.org/10.2478/cait-2020-0018

Mots clés
DevOps, Machine Learning (ML), effort estimation, planning poker, sentimental analysis

© 2020 Jayasri Angara et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

DevOps Project Management Tools for Sprint Planning, Estimation and Execution Maturity

Publié en ligne: 12 juin 2020

Pages: 79 - 92

Reçu: 26 mai 2019

Accepté: 23 mars 2020

DOI: https://doi.org/10.2478/cait-2020-0018

Mots clésDevOps, Machine Learning (ML), effort estimation, planning poker, sentimental analysis

© 2020 Jayasri Angara et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
DevOps, Machine Learning (ML), effort estimation, planning poker, sentimental analysis