Simulink based fuzzified COCOMO
- Resource Type
- Conference
- Authors
- Chhabra, Sonia; Singh, Harvir
- Source
- 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Contemporary Computing and Informatics (IC3I), 2016 2nd International Conference on. :847-851 Dec, 2016
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Informatics
Handheld computers
Decision support systems
FIS
COCOMO
Fuzzification
Cost Drivers
Effort Multiplier
- Language
Accurate estimation of the cost of a software minimizes the risk for the software development process. Applicability of the different cost estimation models is very crucial as the information required for the implementation of such models is imprecise and vague. In order to increase the accuracy of the model, it is proposed to introduce the concept of fuzzification for calculating the value of effort multiplier corresponding to different of cost drivers used in COCOMO model. The proposed model is designed using the MATLAB and is modeled in SIMULINK. The results are validated using the COCOMO dataset and it has been observed that by fuzzifying the cost drivers the model generated the results more closer to the actual values and thus enhances the accuracy of the estimation process.