Conceptual Dependency Based Requirements Clustering for Component Selection
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 4
Abstract
Component Based System (CBS) development is used to integrate existing components to build a software system, with the potential benefits of reducing development time and delivering quality system by using quality components. Component selection process is used to provide guidelines for CBS developers to consolidate related requirements into clusters and shortlist components that best match the required functionalities of CBS. The component selection process helps a developer to elicit stakeholder needs, analyze their interdependencies and select components for a CBS. In this a goal model is created to denote various Concrete Level Goals and using these goals a conceptual dependency analysis with the Schank’s notation is created to model interdependencies of CBS.The conceptual dependencies represents AND, OR relationship between various goals and a matching index of each cluster of related goals is used as a criterion to identify a portfolio of candidate components for a CBS, providing multiple solutions for the component selection problem whenever possible.
Authors and Affiliations
Siba A. , S. Palaniswami3 , R. Subha2
Keywords
Related Articles
- EP ID EP120540
- DOI -
- Views 107
- Downloads 0
A Survey of Different Software Fault Prediction Using Data Mining Techniques Methods
Software fault prediction method used to improve the quality of software. Defective module leads to decrease the customer satisfaction and improve cost. Software fault prediction technique implies a good investment...
Security and QOS centric protocols for P2P networks: current state of the art
Peer-to-peer (p2p) networking technologies have gained popularity as a mechanism for users to share files without the need for centralized servers. A p2p network provides a scalable and fault-tolerant mechanism to locate...
Extensive study of image enhancement via stochastic optimization technique:MPSO
Recent literatures show how modified particle swarm had achieved its name and fame over its parental algorithm called as PSO by optimizing. In this paper we exploit its advantage over image enhancement for improvin...
A Novel Approach to Improve Avalanche Effect of AES Algorithm
With the rapid progression of digital data exchange in electronic way, security of information is becoming more important in data storage and transmission. Therefore numerous ways of protecting information are bein...
NEURAL NETWORK BASED MATCHING APPROACH FOR IRIS RECOGNITION
Iris recognition has been considered as one of the most reliable biometrics technologies in recent years due to its high reliability in person identification. In this paper, an iris recognition system has been...