Title: Evaluation of quality attributes of software design patterns using association rules

Authors: Sudha Rajesh; A. Chandra Sekar

Addresses: Sathyabama Institute of Science and Technology, Sathyabama University, OMR, Chennai, India ' St. Joseph's College of Engineering, OMR, Chennai, India

Abstract: For the past decades, there were many analysing methods used which in turn to analyse only the views of a single stakeholder. The analysing progression facilitates us to guarantee the quality of overall design. By doing so there were many limitations that lead to critical situations in the development process. This work proposes to collect all the stakeholders' decisions in a single structural view, which expose the centric-view decision in an architectural design. It also used to deal with the disagreement in vision by examining it, with the premium software quality characteristic. The quality attributes are evaluated by association rules to improve the excellence of the software design. Association rules are implemented using R tool to get the support, confidence, lift and count values of each attribute along with its metric. The best quality attributes are chosen after managing the stakeholders' conflicts, since all the systems are designed due to the stakeholders' concerns. The best design patterns can be evaluated along with the distinguished attributes. These patterns are evaluated by fixing the basic principles of patterns based on their excellence.

Keywords: association rules; confidence; design patterns; support; quality attributes.

DOI: 10.1504/IJAIP.2021.116357

International Journal of Advanced Intelligence Paradigms, 2021 Vol.19 No.3/4, pp.314 - 327

Received: 06 Mar 2018
Accepted: 16 Apr 2018
Published online: 21 Jul 2021 *

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