Intelligence-Software Cost Estimation Model for Optimizing Project Management

Title

Intelligence-Software Cost Estimation Model for Optimizing Project Management

Creator

Naik P.; Nayak S.

Description

With the evolution of pervasive and ubiquitous application, the rise of web-based application as well as its components is quite rising as such applications are used both for development and analysis of the web component by developers. The estimation of software cost is controlled by multiple factors right from human-driven to process driven. Most importantly, some of the factors are never even can be guessed. At present, there are no records of literature to offer a robust cost estimation model to address this problem. Therefore, the proposed system introduces an intellectual model of software cost model that is mainly targets to perform optimization of entire cost estimation modeling by incorporating predictive approach. Powered by deep learning approach, the outcome of the proposed model is found to be cost effective in comparison to existing cost estimation modeling. 2019, Springer Nature Switzerland AG.

Source

Advances in Intelligent Systems and Computing, Vol-984, pp. 433-443.

Date

2019-01-01

Publisher

Springer Verlag

Subject

Cost estimation; Deep learning; Intelligence; Machine learning; Predictive; Software cost; Uncertainty

Coverage

Naik P., Research Scholar VTU, Department of Computer Science and Engineering, Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, India; Nayak S., Department of Information Science and Engineering, RV College of Engineering, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 21945357; ISBN: 978-303019806-0

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-3-030-19807-7_42

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065878403&doi=10.1007%2f978-3-030-19807-7_42&partnerID=40&md5=b250e144f13ad49360f896cdc7ecc0be