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Jangra, Geeta
- Requirement Engineering:A Comprehensive Review
Abstract Views :141 |
PDF Views:3
Authors
Affiliations
1 University Institute of Engineering and Technology, M.D university, Rohtak, IN
2 University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, IN
1 University Institute of Engineering and Technology, M.D university, Rohtak, IN
2 University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, IN
Source
Software Engineering, Vol 3, No 6 (2011), Pagination: 275-280Abstract
The area of Requirements Engineering is often underestimated in value in the area of Software Engineering. Requirements engineering is a repeatable and systematic technique. The main objective of requirement engineering is “to gather the requirements”. The requirements engineering phase of software development projects is characterized by the intensity and importance of communication activities. During this phase, the various stakeholders must be able to communicate their requirements to the analysts, and the analysts need to be able to communicate the specifications they generate back to the stakeholders for validation. It includes set of activities like system feasibility study, elicitation analysis, validation and management of the requirements. This paper presents the conceptual view of requirement engineering and its types and techniques come under these types. The activities include software implementation, maintenance, and enhancement. This paper describes the challenges on the requirements engineering for developing an enterprise applications. This paper overviews a systematic, goal-oriented approach to requirements engineering. This paper presents an overview of the field of software systems requirements engineering (RE). It describes the main areas of RE practice.Keywords
Requirement Engineering, Requirement Elicitation, Requirement Analysis, Requirement Management and Validation.- Comparative Analysis of Genetic Algorithm and Ant Colony Optimization Metaheuristic Techniques
Abstract Views :199 |
PDF Views:2
Authors
Geeta Jangra
1,
Rashmi Gupta
1
Affiliations
1 Department of Computer Engineering, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, IN
1 Department of Computer Engineering, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 3, No 5 (2011), Pagination: 303-308Abstract
The Metaheuristic is a set of algorithmic concepts that can be used to define heuristic methods applicable to a wide set of different optimization problems such as routing, scheduling etc. This paper focuses on the comparative analysis of most successful methods of optimization techniques such as genetic algorithm (GA) and ant colony optimization (ACO) inspired by biological behavior. The main objective GA and ACO is to generate an optimal schedule so as to complete the tasks in minimum period of time as well as utilizing the resources in an efficient way.Keywords
Meta-Heuristic Algorithms, Genetic Algorithms, Ant Colony Optimization.- Analyzing the Effect of Sigma Scaling in Genetic Algorithms
Abstract Views :238 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Engineering, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, IN
2 Department of Mechanical Engineering, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, IN
1 Department of Computer Engineering, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, IN
2 Department of Mechanical Engineering, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, IN