Level of Confidence in Software Effort Estimation by an Intelligent Fuzzy – Neuro - Genetic Approach
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 9
Abstract
Organizations are struggling to deliver the expected software functionality and quality in scheduled time and prescribed budget. Despite availability of numerous advanced effort estimation techniques overestimation and underestimation occur on a vast scale and results in project failures and significant loss to the organization. The paper proposes machine learning based approach to calculate the optimized effort and level of confidence. Genetically trained neural network evaluates the optimum effort for given COCOMO II variables. The level of confidence is evaluated by fuzzy logic and indicates the percentage that the predicted effort will not exceed the limits.
Authors and Affiliations
Poonam Rijwani, Sonal Jain
Keywords
Related Articles
- EP ID EP394269
- DOI 10.14569/IJACSA.2018.090972
- Views 77
- Downloads 0
Cyber-Security Incidents: A Review Cases in Cyber-Physical Systems
Cyber-Physical Systems refer to systems that have an interaction between computers, communication channels and physical devices to solve a real-world problem. Towards industry 4.0 revolution, Cyber-Physical Systems curre...
The Degree to which Private Education Students at Princess Nourah Bint Abdulrahman University have Access to Soft Skills from their Point of View and Educational Body
The study aimed at identifying the degree of ownership of special education students in the Department of Special Education, Faculty of Education, Princess Nourah University for soft skills from their point of view and t...
Automatic Construction of Java Programs from Functional Program Specifications
This paper presents a novel approach to construct Java programs automatically from the input functional program specifications on natural numbers from the constructive proofs of the input specifications using an inductiv...
Energy-Aware Routing Hole Detection Algorithm in the Hierarchical Wireless Sensor Network
To minimize the communication overhead with the help of optimal path selection in Wireless Sensor Network (WSN) routing protocols is the challenging issue. Hierarchical routing optimizes energy utilization by distributin...
The Role of Hyperspectral Imaging: A Literature Review
Optical analysis techniques are used recently to detect and identify the objects from a large scale of images. Hyperspectral imaging technique is also one of them. Vision of human eye is based on three basic color (red,...