Analysis and Estimation of Interaction and Reusability Complexities of Components in Component-Based Software Engineering
Nidhi Mehra1, Divya Kapil2
1Nidhi Mehra School of Computing Graphic Era Hill University, Dehradun, India.
2Divya Kapil*, School of Computing Graphic Era Hill University, Dehradun, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1600-1608 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7811038620/2020©BEIESP | DOI: 10.35940/ijrte.F7811.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Reuse is the elementary and essential attribute of the component-based software engineering. Reusability focuses on building huge and complex software through assembling pre-fabricated software constructs. In this paper, our emphasis is on to analyze and quantify the two core notions of component-based software, that is, reusability and interaction behavior of the components with the goal of minimum complexity generation. We analyse prominent works available in the literature in the area of reuse and interaction complexities. We Analyze and Estimate reusability complexities of components in Component-Based Software Engineering and we propose efficient and useful metrics to compute the reusability of components. Reusability metrics are defined for individual components as well as overall system level. Different types of components are defined on the basis of their reusability, that is, components that can be reused as it as, and tailored components. To define the metrics we have used lines-of-code as the basic parameter due to its simplicity and countability. We proposed a matrics which select the best component on the basis LOC based complexity. We compare IRMCc Total-i matrics with SCCp metrics and SCCr metrics and analyses that negative relationship between SCCp and IRMCc Total-i shows low portability and positive relationship between SCCr and IRM Cc Total-i shows high portability.
Keywords: CBSE, Reusability, Interaction, Complexity metrics..
Scope of the Article: Systems and Software Engineering.