Software Estimation Using Deep Learning
Mr. Manohar K. Kodmelwar1, Shashank D. Joshi2, V. Khanna3
1Mr. Manohar K. Kodmelwar, Research Scholar, Bharath University, Guntur, Andhra Pradesh, India.
2Dr. Shashank D. Joshi, Faculty of Engineering and Technology Bhartividyapth, Pune, India.
3Dr. V. Khanna Department of Information Technology, Bharath University, Chennai (TamilNadu), India.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 April 2019 | PP: 565-568 | Volume-8 Issue-6S April 2019 | Retrieval Number: F61150486S19/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: For any effective project management, estimation stands as a key piece of project methodology. It plays a noteworthy part in project management to execute the orders required. The assessed parameter helps in sharing the resources requisite to finish the project deliverables effectively. The significant parameters that control the software projects are time, prerequisites, individuals, infrastructure/materials and cash, and dangers. This is one cause why making great appraisals of these elements like time and also resources required for a project stands exceptionally basic. The assessed parameter helps in sharing the resources requisite to finish the project deliverables effectively. The significant parameters that control the software projects are time, prerequisites, individuals, infrastructure/materials and cash, and dangers. This is one cause why making great appraisals of these elements like time and also resources required for a project stands exceptionally basic. If the estimation is lesser compared to required then the with the progress of project it lacks the cash & time as well. If over estimated then the chances of wastage of resources. Therefore it is required to estimate correctly to avoid problem in future.
Keywords: Differential Evolution (DE), Pareto-Based Differential Evolution (PBDE), MMRE, COCOMO,MRE.
Scope of the Article: Deep Learning