Performance Measure of Project Management Automation Tool based on DevOps Selection Criteria for a General Purpose Software System
Poonam1, Pooja Mittal2

1Pooja Mittal*, Assistant Professor, Department of Computer Science and Applications, MDU, Rohtak, Haryana, India.
2Poonam, Research Scholar, Department of Computer Science and Applications, MDU, Rohtak, Haryana, India.
Manuscript received on September 20, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 6263-6267 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2051109119/2019©BEIESP | DOI: 10.35940/ijeat.A2051.109119
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: DevOps, a cluster of tools to automate the tasks of building, testing and releasing the software, intends to optimize the end to end delivery lifecycle of software by eliminating the bottlenecks of each and every stage of development. This research paper presents the performance measure of different tools in the project planning and management phase of software development. Diverse tools exist for each and every phase of the development and depending on the outcome of the evaluation or selection criteria, tool with highest score is being chosen. This paper measures the performance of alternative project management tools viz. Jira, Trello, Leankit, Agile Craft based on these evaluation or selection criteria. To execute the underlying research work, a six-point scaling table is defined. The table measures the performance of project management automation tools and realizing their competence level score. This performance measure or the outcome as competence level score will be useful for the researchers or software developers to contemplate the best project management automation tool typically before making a decision about tool selection.
Keywords: Automation, Automation Tools, DevOps, Project Management, Project Planning, Software development.