文章基本信息

标题：A Data Mining Technique to Improve Configuration Prioritization Framework for Component-Based Systems: An Empirical Study
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作者：Atif Ali ; Yaser Hafeez ; Sadia Ali 等
期刊名称：Engineering Economics
印刷版ISSN：2029-5839
出版年度：2021
卷号：50
期号：3
DOI：10.5755/j01.itc.50.3.27622
语种：English
出版社：Kaunas University of Technology
摘要：Department of Software Engineering, In the current application development strategies, families of productsare developed with personalized configurations to increase stakeholders’ satisfaction. Product lines have theability to address several requirements due to their reusability and configuration properties. The structuringand prioritizing of configuration requirements facilitate the development processes, whereas it increases theconflicts and inadequacies. This increases human effort, reducing user satisfaction, and failing to accommodatea continuous evolution in configuration requirements. To address these challenges, we propose a framework formanaging the prioritization process considering heterogeneous stakeholders priority semantically. Featuresare analyzed, and mined configuration priority using the data mining method based on frequently accessed andchanged configurations. Firstly, priority is identified based on heterogeneous stakeholder’s perspectives usingthree factors functional, experiential, and expressive values. Secondly, the mined configuration is based on frequentlyaccessed or changed configuration frequency to identify the new priority for reducing failures or errorsamong configuration interaction. We evaluated the performance of the proposed framework with the help ofan experimental study and by comparing it with analytical hierarchical prioritization (AHP) and Clustering.The results indicate a significant increase (more than 90 percent) in the precision and the recall value of theproposed framework, for all selected cases.
关键词：Configurable systems;Configurations;Requirement prioritization;Reuse;Semantic analysis;Software product line;Configuration prioritization;Component-based systems