Process Mining Discovery Techniques for Software Architecture Lightweight Evaluation Framework  

作　　者：Mahdi Sahlabadi Ravie Chandren Muniyandi Zarina Shukur Faizan Qamar Syed Hussain Ali Kazmi 

机构地区：[1]Centre for Cyber Security,Faculty of Information Science and Technology(FTSM),Universiti Kebangsaan Malaysia(UKM),Bangi,43600,Selangor,Malaysia

出　　处：《Computers, Materials & Continua》2023年第3期5777-5797,共21页计算机、材料和连续体（英文）

基　　金：This paper is supported by Research Grant Number:PP-FTSM-2022.

摘　　要：This research recognizes the limitation and challenges of adaptingand applying Process Mining as a powerful tool and technique in theHypothetical Software Architecture (SA) Evaluation Framework with thefeatures and factors of lightweightness. Process mining deals with the largescalecomplexity of security and performance analysis, which are the goalsof SA evaluation frameworks. As a result of these conjectures, all ProcessMining researches in the realm of SA are thoroughly reviewed, and ninechallenges for Process Mining Adaption are recognized. Process mining isembedded in the framework and to boost the quality of the SA model forfurther analysis, the framework nominates architectural discovery algorithmsFlower, Alpha, Integer Linear Programming (ILP), Heuristic, and Inductiveand compares them vs. twelve quality criteria. Finally, the framework’s testingon three case studies approves the feasibility of applying process mining toarchitectural evaluation. The extraction of the SA model is also done by thebest model discovery algorithm, which is selected by intensive benchmarkingin this research. This research presents case studies of SA in service-oriented,Pipe and Filter, and component-based styles, modeled and simulated byHierarchical Colored Petri Net techniques based on the cases’ documentation.Processminingwithin this framework dealswith the system’s log files obtainedfrom SA simulation. Applying process mining is challenging, especially for aSA evaluation framework, as it has not been done yet. The research recognizesthe problems of process mining adaption to a hypothetical lightweightSA evaluation framework and addresses these problems during the solutiondevelopment.

关 键 词：Software architecture process mining hierarchical colored petri Net architectural discovery algorithms model discovery algorithm 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]