Open AccessEvaluation of the Feasibility of Parametric Estimation in Devops Continuous Planning
Author(s) -
Diwakar Ramanuj Tripathi
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38008
Subject(s) - devops , computer science , software deployment , process (computing) , estimation , parametric statistics , process management , operations management , systems engineering , engineering , software engineering , statistics , mathematics , operating system
DevOps aims to shorten project schedules, boost productivity, and manage quick development-deployment cycles without compromising business or quality. It necessitates good sprint management. Continuous Testing detects integration issues considerably earlier in the development process. It reduces the cost of defect resolution and frees up the tester's time for exploratory testing and value-added activities. Continuous testing allows for more frequent, shorter, and more efficient releases. It ties people, technology, and processes together. Continuous Planning, particularly effort estimation, is closely linked to Continuous Testing. This paper examines the state of the art in DevOps parametric estimate in continuous planning, as well as the difficulties and best practises. Keywords: Project, Testing, Continuous, Planning