Net Components for the Integration of Process Mining into Agent-Oriented Software Engineering

Cabac, Lawrence; Denz, Nicolas

doi:10.1007/978-3-540-89287-8_6

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…It is concerned with reconstructing none concrete models of software systems by their executing traces for analyzing software artifacts to support tasks such as debugging or validating [11,[14][15][16][17][18][19][20][21][22][23][24]. In this research, the second category is mostly highlighted, and the research in reverse engineering is considered under the second category.…”

Section: Second Category Of Pm For Software Structurementioning

confidence: 99%

Process Mining Discovery Techniques for Software Architecture Lightweight Evaluation Framework

Sahlabadi¹,

Muniyandi²,

Shukur³

et al. 2023

Computers, Materials &Amp; Continua

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This research recognizes the limitation and challenges of adapting and applying Process Mining as a powerful tool and technique in the Hypothetical Software Architecture (SA) Evaluation Framework with the features and factors of lightweightness. Process mining deals with the largescale complexity of security and performance analysis, which are the goals of SA evaluation frameworks. As a result of these conjectures, all Process Mining researches in the realm of SA are thoroughly reviewed, and nine challenges for Process Mining Adaption are recognized. Process mining is embedded in the framework and to boost the quality of the SA model for further analysis, the framework nominates architectural discovery algorithms Flower, Alpha, Integer Linear Programming (ILP), Heuristic, and Inductive and compares them vs. twelve quality criteria. Finally, the framework's testing on three case studies approves the feasibility of applying process mining to architectural evaluation. The extraction of the SA model is also done by the best model discovery algorithm, which is selected by intensive benchmarking in this research. This research presents case studies of SA in service-oriented, Pipe and Filter, and component-based styles, modeled and simulated by Hierarchical Colored Petri Net techniques based on the cases' documentation. Process mining within this framework deals with the system's log files obtained from SA simulation. Applying process mining is challenging, especially for a SA evaluation framework, as it has not been done yet. The research recognizes the problems of process mining adaption to a hypothetical lightweight SA evaluation framework and addresses these problems during the solution development.

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Section: Second Category Of Pm For Software Structurementioning

confidence: 99%

Process Mining Discovery Techniques for Software Architecture Lightweight Evaluation Framework

Sahlabadi¹,

Muniyandi²,

Shukur³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…It addresses the problem that there is always a significant gap between what is prescribed or supposed to happen, and what actually happens. Process mining has been applied in many domains such as software engineering processes (Rubin et al 2007;Cabac and Denz 2008), decision making (van der Aalst 2008) and healthcare (Yang and Hwang 2006).…”

Section: Process Miningmentioning

confidence: 99%

A process mining based approach to knowledge maintenance

Liu

et al. 2010

Inf Syst Front

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The quality of knowledge in the knowledge repository determines the effect of knowledge reusing and sharing. Knowledge to be reused should be checked in advance through a knowledge maintenance process. The knowledge maintenance process model is difficult to be constructed because of the balance between the efficiency and the effect. In this paper, process mining is applied to analyze the knowledge maintenance logs to discover process and then construct a more appropriate knowledge maintenance process model. We analyze knowledge maintenance logs from the control flow perspective to find a good characterization of knowledge maintenance tasks and dependencies. In addition, the logs are analyzed from the organizational perspective to cluster the performers who are qualified to do the same kinds of tasks and to get the relations among these clusters. The proposed approach has been applied in the knowledge management system. The result of the experiment shows that our approach is feasible and efficient.

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“…We have implemented several CPNToolsPlugins and a ProM [9] plug-in allowing us to interactively construct a cosimualtion for execution. These examples, aside from the last one, are not intended to provide completely new functionality (for example, monitoring has previously been described in [7] and ProM orchestration in [1]), but just to give an idea of what is possible with Access/CPN 2.0, and the complexity of performing such tasks.…”

Section: Architecturementioning

confidence: 99%

Access/CPN 2.0: A High-Level Interface to Coloured Petri Net Models

Westergaard

2011

Applications and Theory of Petri Nets

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Abstract. This paper introduces Access/CPN 2.0, which extends Access/CPN with high-level primitives for interacting with coloured Petri net (CPN) models in Java programs. The primitives allow Java programs to monitor and interact with places and transitions during execution, and embed entire programs as subpages of CPN models or embed CPN models as parts of programs. This facilitates building environments for systematic testing of program components using a CPN models. We illustrate the use of Access/CPN 2.0 in the context of business processes by embedding a workflow system into a CPN model.

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Net Components for the Integration of Process Mining into Agent-Oriented Software Engineering

Cited by 4 publications

References 23 publications

Process Mining Discovery Techniques for Software Architecture Lightweight Evaluation Framework

Process Mining Discovery Techniques for Software Architecture Lightweight Evaluation Framework

A process mining based approach to knowledge maintenance

Access/CPN 2.0: A High-Level Interface to Coloured Petri Net Models

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