An Optimized Analogy-Based Project Effort Estimation
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 4
Abstract
Despite the predictive performance of Analogy-Based Estimation (ABE) in generating better effort estimates, there is no consensus on: (1) how to predetermine the appropriate number of analogies, (2) which adjustment technique produces better estimates. Yet, there is no prior works attempted to optimize both number of analogies and feature distance weights for each test project. Perhaps rather than using fixed number, it is better to optimize this value for each project individually and then adjust the retrieved analogies by optimizing and approximating complex relationships between features and reflects that approximation on the final estimate. The Artificial Bees Algorithm is utilized to find, for each test project, the appropriate number of closest projects and features distance weights that is used to adjust those analogies’ efforts. The proposed technique has been applied and validated to 8 publically datasets from PROMISE repository. Results obtained show that: (1) the predictive performance of ABE has noticeably been improved, (2) the number of analogies was remarkably variable for each test project. While there are many techniques to adjust ABE, Using optimization algorithm provides two solutions in one technique and appeared useful for datasets with complex structure.
Authors and Affiliations
Mohammad Azzeh, Yousef Elsheikh, Marwan Alseid
Keywords
Related Articles
- EP ID EP110356
- DOI 10.14569/IJACSA.2014.050402
- Views 96
- Downloads 0
Reliable Global Navigation System using Flower Constellation
For many space missions using satellite constellations, symmetry of satellites distribution plays usually a key role. Symmetry may be considered in space and/or in time distribution. Examples of required symmetry in spac...
Knowledge-Based System’s Modeling for Software Process Model Selection
This paper depicts the knowledge-based system named as ESPMS (Expert System for Process Model Selection) through various models. A questionnaire was developed to identify important parameters, which were evaluated throug...
OLAWSDS:An Online Arabic Web Spam Detection System
For marketing purposes, Some Websites designers and administrators use illegal Search Engine Optimization (SEO) techniques to optimize the ranking of their Web pages and mislead the search engines. Some Arabic Web pages...
Wireless Internet of Things-Based Air Quality Device for Smart Pollution Monitoring
Nurul Azma Zakaria;azma@utem.edu.my|Zaheera Zainal Abidin;|Norharyati Harum;|Low Chen Hau;|Nabeel Salih Ali;|Fairul Azni Jafar;
Deep Learning Technology for Predicting Solar Flares from (Geostationary Operational Environmental Satellite) Data
Solar activity, particularly solar flares can have significant detrimental effects on both space-borne and grounds based systems and industries leading to subsequent impacts on our lives. As a consequence, there is much...