Verifying Generalised and Structural Soundness of Workflow Nets via Relaxations

نویسندگان

چکیده

Abstract Workflow nets are a well-established mathematical formalism for the analysis of business processes arising from either modeling tools or process mining. The central decision problems workflow k -soundness, generalised soundness and structural soundness. Most existing focus on -soundness. In this work, we propose novel scalable semi-procedures This is achieved via integral continuous Petri net reachability relaxations. We show that our approach competitive against state-of-the-art tools.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Structural soundness of workflow nets is decidable

The problem of deciding whether a given workflow net is k-sound for some k 1 is known as structural soundness. We prove that structural soundness of workflow nets is decidable.  2005 Elsevier B.V. All rights reserved.

متن کامل

Soundness of Workflow Nets with Reset Arcs

Petri nets are often used to model and analyze workflows. Many workflow languages have been mapped onto Petri nets in order to provide formal semantics or to verify correctness properties. Typically, the so-called Workflow nets are used to model and analyze workflows and variants of the classical soundness property are used as a correctness notion. Since many workflow languages have cancelation...

متن کامل

Visualizing the Soundness of Workflow Nets

Petri nets and in particular workflow nets as a process description language allow the application of formal verification methods, e.g., to prove soundness. Although tools for soundness checks do already exist , it is still difficult for the workflow designer to correct the process model according to the output of these tests – mostly because diagnostic messages are not directly linked to the g...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Lecture Notes in Computer Science

سال: 2022

ISSN: ['1611-3349', '0302-9743']

DOI: https://doi.org/10.1007/978-3-031-13188-2_23