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Process Algebra for Parallel and Distributed Processing

by Michael Alexander William Gardner

Collects the Latest Research Involving the Application of Process Algebra to ComputingExploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning-process algebra-has become a powerful tool for solving design and implementation challenges of concurrent systems. Parallel Pr

A Process Algebraic Approach to Software Architecture Design

by Alessandro Aldini Flavio Corradini Marco Bernardo

The design and the verification of modern software applications requires the analysis of several different aspects, such as software correctness, quality of service, and security, and of the possible inter-relations among them. Process algebraic architectural languages and the related analysis techniques provide a formal paradigm that allows for the modeling and analysis of such systems and of the related properties during the early stages of the design process. The book presents such a paradigm in a novel way that privileges the discussion of its foundational characteristics and then introduces a number of guidelines, integrated with ad-hoc methodologies and exemplifying case studies, to support the practical benefits of using such a paradigm. The book can be of help for both researchers and graduate students who intend to approach the process algebraic formal paradigm and for the practitioners who intend to apply the related approach to software design and verification.

Process Analytics

by Seyed-Mehdi-Reza Beheshti Boualem Benatallah Sherif Sakr Daniela Grigori Hamid Reza Motahari-Nezhad Moshe Chai Barukh Ahmed Gater Seung Hwan Ryu

This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics - including process data querying, analysis, matching and correlating process data and models - to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.

Process-Aware Systems

by Jian Cao Xiao Liu Kaijun Ren

This book constitutes the refereed proceedings of the Second International Workshop on Process-Aware Systems, PAS 2015, held in Hangzhou, China, in October 2015. The four revised full papers and two short papers, presented together with five demo papers were carefully reviewed and selected from 16 submissions. The papers are organized in topical sections on process modeling and comparison; process data analysis; Cloud workflow applications.

Process-Based Software Project Management

by F. Alan Goodman

Not connecting software project management (SPM) to actual, real-world development processes can lead to a complete divorcing of SPM to software engineering that can undermine any successful software project. By explaining how a layered process architectural model improves operational efficiency, Process-Based Software Project Management out

Process-Centric Architecture for Enterprise Software Systems

by Parameswaran Seshan

The increasing adoption of Business Process Management (BPM) has inspired pioneering software architects and developers to effectively leverage BPM-based software and process-centric architecture (PCA) to create software systems that enable essential business processes. Reflecting this emerging trend and evolving field, Process-Centric Architecture for Enterprise Software Systems provides a complete and accessible introduction explaining this architecture. The text presents, in detail, the analysis and design principles used in process-centric architecture. Illustrative examples demonstrate how to architect and design enterprise systems based on the business processes central to your organization. It covers the architectural aspects of business process management, the evolution of IT systems in enterprises, the importance of a business process focus, the role of workflows, business rules, enterprise application integration, and business process modeling languages such as WS-BPEL and BPML. It also investigates: Fundamental concepts of process-centric architecture style The PCA approach to architecting enterprise IT systems Business process driven applications and integration Two case studies that illustrate how to architect and design enterprise applications based on PCA SOA in the context of process-centric architecture Standards, technologies, and infrastructure behind PCA Explaining how to architect enterprise systems using a BPMS technology platform, J2EE components, and Web services, this forward-looking book will empower you to create systems centered on business processes and make today's enterprise processes successful and agile.

Process Control Techniques for High-Volume Production

by M. Kemal Atesmen

This book details most common statistical process control tools with many examples for high-volume production. It aims to make elements of high-volume production process control simple and easy to understand. It lets you thoroughly understand process controls instead of blindly trusting software tools that operate as black boxes. If you are dealing with high-volume production as an operator, line supervisor, inspector, process engineer, quality engineer, manufacturing manager, plant manager, or president of the company, you have to understand the statistical process control basics explained in this book in order to be successful.

Process-Driven Applications with BPMN

by Volker Stiehl

How can we optimize differentiating business processes and exploit their full potential? Here Volker Stiehl provides answers, utilizing the various options that the BPMN (Business Process Model and Notation) standard offers for planning, implementing and monitoring processes. The book presents an approach for implementing an architecture for applications that strives to find a balance between development and maintenance costs, sustainability, scalability and fault tolerance; that meets flexibility requirements without becoming inordinately complex itself; and that keeps the end application as abstract as possible from the system landscape in which it operates. Based on the semantic enhancements found in version 2. 0 of the BPMN standard, which have made it possible to execute process models, his approach exploits BPMN to create and run complete application architectures. In this context, BPMN is not just used to model the business processes of the application, as the "B" in BPMN might suggest; but also to model and execute the integration processes between the systems. Throughout the book, the software package SAP Process Orchestration is used to illustrate the implementation of the proposed architecture, yet all recommendations are intentionally kept generic so that they can be implemented on any other comparable platform as well. Software architects, IT managers, software developers and project managers, as well as students of information and business technology will find the book a valuable resource. The proposed application architecture offers them a detailed blueprint, the principles of which they can use to plan and implement process-driven distributed applications.

Process-Driven SOA: Patterns for Aligning Business and IT

by Carsten Hentrich Uwe Zdun

Process-Driven SOA: Patterns for Aligning Business and IT supplies detailed guidance on how to design and build software architectures that follow the principles of business-IT alignment. It illustrates the design process using proven patterns that address complex business/technical scenarios, where integrated concepts of service-oriented architecture (SOA), Business Process Management (BPM), and Event-Driven Architecture (EDA) are required. The book demonstrates that SOA is not limited to technical issues but instead, is a holistic challenge where aspects of SOA, EDA, and BPM must be addressed together. An ideal guide for SOA solution architects, designers, developers, managers, and students about to enter the field, the book: Provides an accessible introduction to basic and more advanced concepts in process-driven SOA Illustrates how to manage the complexities of business aligned IT architectures with detailed examples and industry cases Outlines a step-by-step design process using proven patterns to address complex business/ technical scenarios Integrates SOA, BPM, and EDA into practical patterns promoting SOA 2.0 Describing how to synchronize parallel enterprise processes, the authors explain how to cope with the architectural and design decisions you are likely to encounter when designing and implementing process-driven SOA systems. The decisions are described in the form of software patterns to provide you with a practical guideline for addressing key problems using time-tested solutions.

Process Improvement and CMMI for Systems and Software

by Ron S. Kenett Emanuel Baker

Process Improvement and CMMI for Systems and Software provides a workable approach for achieving cost-effective process improvements for systems and software. Focusing on planning, implementation, and management in system and software processes, it supplies a brief overview of basic strategic planning models and covers fundamental concepts and appr

Process Improvement Essentials: CMMI, Six Sigma, and ISO 9001

by James R. Persse

Today, technology has become too much a part of overall corporate success for its effectiveness to be left to chance. The stakes are too high. Fortunately, the idea of 'quality management' is being reinvigorated. In the last decade process programs have become more and more prevalent. And, out of all the available options, three have moved to the top of the chain. These three are: The 9001:2000 Quality Management Standard from the International Standards Organization;The Capability Maturity Model Integration from the Software Engineering Institute; andSix Sigma, a methodology for improvement shaped by companies such as Motorola, Honeywell, and General Electric. These recognized and proven quality programs are rising in popularity as more technology managers are looking for ways to help remove degrees of risk and uncertainty from their business equations, and to introduce methods of predictability that better ensure success. Process Improvement Essentials combines the foundation needed to understand process improvement theory with the best practices to help individuals implement process improvement initiatives in their organization. The three leading programs: ISO 9001:2000, CMMI, and Six Sigma--amidst the buzz and hype--tend to get lumped together under a common label. This book delivers a combined guide to all three programs, compares their applicability, and then sets the foundation for further exploration. It's a one-stop-shop designed to give you a working orientation to what the field is all about.

Process Improvement with CMMI v1.2 and ISO Standards

by Boris Mutafelija Harvey Stromberg

In this age of globalization, process improvement practitioners must be able to comprehend and work with the different standards and frameworks used around the world. While many systems and software engineering organizations rely on a single standard as the primary driver of process improvement efforts (CMMI-based process improvement in the U.S. an

Process-Mining: Geschäftsprozesse: smart, schnell und einfach (essentials)

by Ralf Peters Markus Nauroth

Die Autoren geben einen praxisorientierten Einstieg in Process-Mining mit unternehmensbezogenen Anwendungsfällen und einer Marktübersicht der Software, die hilft, Geschäftsprozesse schnell, smart und einfach zu gestalten. Auf Basis von Log-Daten der Geschäftsvorgänge erstellt Process-Mining automatisch Modelle der Ist-Abläufe, kann diese mit Soll-Abläufen vergleichen und helfen, Geschäftsprozesse zu optimieren. Weitere Anwendungen von Process-Mining sind u.a. Governance, Risk und Compliance Management, IT-Migration und -Implementierung sowie Entwicklung digitaler Geschäftsmodelle. Process-Mining ist gerade auch für kleinere und mittelgroße Unternehmen von großer Bedeutung für die Wettbewerbsfähigkeit.Die Autoren Ralf Peters ist selbstständiger Unternehmensberater und Interimsmanager. Er unterstützt Unternehmen in Transformationsphasen, bei Post-Merger-Integrationen, IT-Implementierungen sowie dem Einsatz von Process-Mining. Prof. Dr. Markus Nauroth lehrt Wirtschaftsinformatik an der Hochschule Mainz und verantwortet u.a. als Studiengangleiter den Bachelor-Studiengang Angewandte Informatik. Zuvor war er als Unternehmensberater in London und New York tätig.

Process Mining

by Wil M. van der Aalst

The first to cover this missing link between data mining and process modeling, this book provides real-world techniques for monitoring and analyzing processes in real time. It is a powerful new tool destined to play a key role in business process management.

Process Mining Handbook (Lecture Notes in Business Information Processing #448)

by Wil M. P. van der Aalst Josep Carmona

This is an open access book. This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022. This volume contains 17 chapters organized into the following topical sections: Introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing.

Process Mining Techniques for Managing and Improving Healthcare Systems

by Maha Zayoud

This book discusses a new process mining method along with a detailed comparison between different techniques that provide a complete vision of the process of data acquisition, data analysis, and data prediction. Process Mining Techniques for Managing and Improving Healthcare Systems offers a new framework for process learning which is probabilistic and enables the process to be learned in an accumulative manner. The steps of prediction modeling and building the required knowledge are highlighted throughout the book, along with a strong emphasis on the correlation between the healthcare domain and technology including the different aspects, such as: managing records, information, and procedures; early detection of diseases; and the improvement of accuracy in choosing the right treatment procedures. This reference provides a wealth of knowledge for practitioners, researchers, and students at the basic and intermediary levels working within the healthcare system, computer science, electronics and communications, as well as medical providers and also hospital management entities.

Process Mining Techniques in Business Environments

by Andrea Burattin

After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic "batch process mining," and second to more recent "online process mining. " The book encompasses a revised version of the author's PhD thesis, which won the "Best Process Mining Dissertation Award" in 2014, awarded by the IEEE Task Force on Process Mining.

Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers (Lecture Notes in Business Information Processing #406)

by Sander Leemans Henrik Leopold

This book constitutes revised selected papers from the International Workshops held at the Second International Conference on Process Mining, ICPM 2020, which took place during October 4-9, 2020. The conference was planned to take place in Padua, Italy, but had to be held online due to the COVID-19 pandemic.The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 29 papers included in this volume were carefully reviewed and selected from 59 submissions. They stem from the following workshops: 1st International Workshop on Event Data and Behavioral Analytics (EDBA) 1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20) 5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 3rd International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 1st International Workshop on Trust and Privacy in Process Analytics (TPPA)

Process Mining Workshops: ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers (Lecture Notes in Business Information Processing #433)

by Jorge Munoz-Gama Xixi Lu

This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA)One survey paper on the results of the XES 2.0 Workshop is included.

Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers (Lecture Notes in Business Information Processing #503)

by Johannes De Smedt Pnina Soffer

This volume constitutes the revised selected papers of several workshops which were held in conjunction with the 5th International Conference on Process Mining, ICPM 2023, held in Rome, Italy, in October 23–27, 2023.The 38 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The book also contains one invited talk. ICPM 2023 presented the following six workshops:– 4th International Workshop on Event Data and Behavioral Analytics (EdbA)– 4th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)– 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)– 8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)– 2nd International Workshop on Education Meets Process Mining (EduPM)– 2nd International Workshop on Collaboration Mining for Distributed Systems (COMINDS).

Process Mining Workshops: ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers (Lecture Notes in Business Information Processing #468)

by Matthias Weidlich Marco Montali Arik Senderovich

This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA)– 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)– 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics)– 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)– 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM)– 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)– 1st International Workshop on Education meets Process Mining (EduPM)– 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)

Process Modeling and Management for Healthcare (Chapman & Hall/CRC Healthcare Informatics Series)

by Carlo Combi Giuseppe Pozzi Pierangelo Veltri

From the Foreword: "[This book] provides a comprehensive overview of the fundamental concepts in healthcare process management as well as some advanced topics in the cutting-edge research of the closely related areas. This book is ideal for graduate students and practitioners who want to build the foundations and develop novel contributions in healthcare process modeling and management." --Christopher Yang, Drexel University Process modeling and process management are traversal disciplines which have earned more and more relevance over the last two decades. Several research areas are involved within these disciplines, including database systems, database management, information systems, ERP, operations research, formal languages, and logic. Process Modeling and Management for Healthcare provides the reader with an in-depth analysis of what process modeling and process management techniques can do in healthcare, the major challenges faced, and those challenges remaining to be faced. The book features contributions from leading authors in the field. The book is structured into two parts. Part one covers fundamentals and basic concepts in healthcare. It explores the architecture of a process management environment, the flexibility of a process model, and the compliance of a process model. It also features a real application domain of patients suffering from age-related macular degeneration. Part two of the book includes advanced topics from the leading frontiers of scientific research on process management and healthcare. This section of the book covers software metrics to measure features of the process model as a software artifact. It includes process analysis to discover the formal properties of the process model prior to deploying it in real application domains. Abnormal situations and exceptions, as well as temporal clinical guidelines, are also presented in depth Pro.

Process-Oriented Dynamic Capabilities

by Ralf Plattfaut

​This book introduces a process-oriented dynamic capability framework to study both, service innovation and Business Process Management (BPM). Results from applications in several case studies and surveys are reported. They reflect, e. g. , capability development and maturity models. Based on these findings, a method to support service innovation is introduced. This method can help organizations in developing new service business models in a more effective and efficient way. In today's networked service society, service innovation becomes increasingly important. Reasons for this development can be found in the transformation of economies and in the growing importance of product-service systems. The concept of service innovation is related to Business Process Management (BPM) and shares several important traits. They both are process-oriented dynamic capabilities to adapt (service) processes to changing environments.

Process Simulation and Parametric Modeling for Strategic Project Management

by Dennis Anderson Peter J. Morales

Process Simulation and Parametric Modeling for Strategic Project Management will offer CIOs, CTOs and Software Development Managers, IT Graduate Students an introduction to a set of technologies that will help them understand how to better plan software development projects, manage risk and have better insight into the complexities of the software development process. A novel methodology will be introduced that allows a software development manager to better plan and access risks in the early planning of a project. By providing a better model for early software development estimation and software development, managers will be better equipped to make more effective project portfolio investment choices. Moreover, the methodology will allow the software development manager to continually simulate scenarios throughout the lifecycle of the project and determine plausible alternatives before the risk becomes a reality.

Process Variations and Probabilistic Integrated Circuit Design

by Joachim Haase Manfred Dietrich

Uncertainty in key parameters within a chip and between different chips in the deep sub micron area plays a more and more important role. As a result, manufacturing process spreads need to be considered during the design process. Quantitative methodology is needed to ensure faultless functionality, despite existing process variations within given bounds, during product development. This book presents the technological, physical, and mathematical fundamentals for a design paradigm shift, from a deterministic process to a probability-orientated design process for microelectronic circuits. Readers will learn to evaluate the different sources of variations in the design flow in order to establish different design variants, while applying appropriate methods and tools to evaluate and optimize their design.

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