DevOps Project Management Tools for Sprint Planning, Estimation and Execution Maturity
Autor: | Jayasri Angara, G. Sridevi, Srinivas Prasad |
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Rok vydání: | 2020 |
Předmět: |
Estimation
Process management General Computer Science business.industry Computer science media_common.quotation_subject Information technology 020207 software engineering Timeline 02 engineering and technology Planning poker Sprint 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Project management DevOps business media_common |
Zdroj: | Cybernetics and Information Technologies. 20:79-92 |
ISSN: | 1314-4081 |
DOI: | 10.2478/cait-2020-0018 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |
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