A Method for Group Formation Using Genetic Algorithm
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 9
Abstract
Due to the increasing of complexity in software projects, group work is becoming more important in order to ensure quality software products can be delivered on time. Thus, in niversities, group work is seen as a good preparation for students to enter industry because by working in group, it can reduce the individual workload, improve the ability to manage a project and enhance the problem solving skills. However, ue to lack of programming skills especially in Java programming language, most of the students’ software project cannot be delivered successfully. To solve this problem, systematic group formation is one of the initial factors that should be considered to ensure that every group consists of quality individuals who are good in programming. This paper presents a method for group formation using genetic algorithm, where the members for each group will be generated based on the students’ programming skill.
Authors and Affiliations
Zhamri Che Ani , Azman Yasin , Mohd Zabidin Husin , Zauridah Abdul Hamid
Iterative Enhanced Directional Based Demosaicking Algorithm
Demosaicing is a process of obtaining a full color image by interpolating the missing colors of an image captured from a digital still and video cameras that use a single-sensor array. This paper provides an effective it...
Analyzing Theoretical Basis and Inconsistencies of Object Oriented Metrics
Metrics help in identifying potential problem areas and finding these problems in the phase they are developed decreases the cost and avoids major ripple effects from these in later development stages. These days, Object...
SECURING WMN USING HONEYPOT TECHNIQUE
WMN has been a field of active research in the recent years. Lot of research has focused various routing mechanism but very little effort has been made towards attack detection or intrusion detection. In this paper, we p...
Comparing Neural Network Approach with N-Gram Approach for Text Categorization
This paper compares Neural network Approach with N-gram approach, for text categorization, and demonstrates that Neural Network approach is similar to the N-gram approach but with much less judging time. Both methods dem...
MAULIK: An Effective Stemmer for Hindi Language
In this paper, a new stemmer has been proposed named as “Maulik” for Hindi Language. This stemmer is purely based on Devanagari script and it uses the Hybrid approach (combination of brute force and suffix removal approa...