A Data Mining Technique to Improve Configuration Prioritization Framework for Component-Based Systems: An Empirical Study

Abstract

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.

Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems

“…In order to understand SPL, consider that a product line is a managed group of software products that have certain features in common and can be customized to meet the needs of different markets within a given domain [1]. The advantages of SPLs have been acknowledged by many studies; however, it is important to comprehend the difficulties associated with current frameworks and approaches in this field [2]. While SPLs have the potential to improve product quality and allow agile development practices, they also pose significant challenges that must be overcome.…”

“…This section discusses potential threats to the validity of experiments conducted in accordance with the recommendations provided in previous studies [2,3,13].…”

“…The purpose of software engineering is to create quality software within budget and on time [1][2][3][4]. Application engineering (AE) involves the construction of individual software systems.…”

“…Processes for developing software have lately undergone a radical transformation. There is a growing need for quick development and adaptability due to the increasingly rapid speed of varying requirements on the way to meet market needs as well as to be compliant with evolving norms and standards [1,2,20]. Thus, a contemporary problem that many firms must face is continuous software improvement of software processes.…”

Towards a component-based system model to improve the quality of highly configurable systems

“…SPL becomes a vital paradigm for companies as it favors usability, cost, productivity, quality, and time ( Krueger & Clements, 2017 , 2019 ; Chacón-Luna et al, 2019 ; Bolander & Clements, 2021 ). Variability is the capacity of the product framework to be changed, re-configured, expanded, and arranged for use in a particular context, hence becoming a central concern for researchers and practitioners ( Krueger & Clements, 2018 ; Carvalho et al, 2019 ; Wu et al, 2021 ; Ali et al, 2021a ). SPL aims to develop a time-efficient and cost-effective methodology for the HCS by reusing its assets ( Dintzner, van Deursen & Pinzger, 2018 ; Carvalho et al, 2019 ; Ter Beek et al, 2020 ).…”