Adaptive Clustering Techniques for Software Components and Architecture

Abstract

Software components analysis is a critical technique for software development and maintenance. Clustering techniques have been widely used in grouping related software components. However, software is complex, but clustering techniques used in software engineering typically adopt only one metric to measure the similarity of components. This paper proposes an adaptive fuzzy clustering technique based on possibilistic clustering algorithms to address the issue of single metric. The proposed technique collaboratively considers distance, density, and the trend of density change of component instances in the membership degree calculation. The post clustering separation of clustered components based on the predefined thresholds and regrouping of the separated component points result in higher cohesive clustering. The proposed algorithm has been evaluated via experiments using a network protocol RSVP-TE system. The comparison of Hierarchical, Self-organizing map (SOM), and fuzzy c-means (FCM) against adaptive fuzzy clustering proposed in this paper indicates that the adaptive fuzzy clustering group software component instances into more cohesive clusters while it is also insensitive to parameter settings.

Software Module Clustering: An In-Depth Literature Analysis

“…[77], [5], [29], [30], [31], [35], [38], [39], [42], [44], [45], [], [48], [49], [51], [52], [53], [59], [60], [61], [63], [64], [65], [69], [73], [75], [76], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104],…”

Matrix Clustering based Migration of System Application to Microservices Architecture

“…First issue is embedded in the fact that it is quite tough to determine specific cluster which is used for highly coupled components [15]. Second problem in line is to determine the cluster mapping which is applied on software modules [17]. Upon investigation, the technique of decomposition of software has made sure that the source code of software is in accordance with all the requirements gathered.…”

“…The technique used for the purpose of reverse engineering is clustering which is the considered the simplest and fundamental technique used in engineering and science [17]. Main and most important objective of implementing this technique is to make the observations clearer to develop a better understanding.…”

“…The components which are used in these vital software applications are made up of basic blocks which can be combined together depending upon the requirement [17]. Microservice architecture is preferred owing to the reasons that it has the capability to address all the concerns starting from requirement of the enterprise to the operations to be performed by the software of a particular business for which it is designed.…”

“…As the input used in this technique highlights the interconnectivity of all these components, this clustering technique is quite useful to minimize the interconnection among different components to produce optimum results [30]. Clustering is a technique in which large systems are decomposed into chunks and smaller and manageable systems in a distinct way that the entities which bear similarity with one another belong to the same subsystem while the entities with difference among one another are classified into different subsystems [17]. Clustering technique is generally used in identifying the software components which generally adopts one metric so that the similarity of components may be measured.…”