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نتیجه جستجو - مدل های فرآیند

تعداد مقالات یافته شده: 4
ردیف عنوان نوع
1 Process-oriented Knowledge Representation of the Requirement Management Phase of TOGAF-ADM: an Empirical Evaluation
بازنمایی دانش فرآیند محور فاز مدیریت نیازمندی TOGAF-ADM: یک ارزیابی تجربی-2021
The Open Group Architecture Framework (TOGAF) is one of the most used by large-scale companies Enterprise Architecture (EA) frameworks. It contains the Architecture Development Method (ADM) to represent knowledge used to analyze and build the EA for an organization. It is a very detailed method and covers all phases of EA construction and maintenance. However, the described guidelines are hard to follow as they are rich and numerous. Our goal is to provide a process-based knowledge representation of the ADM method to better guide EA professionals using TOGAF and to facilitate the TOGAF teaching with students. In our previous work, we have already proposed the process-oriented graphical representation of the requirements management (RM) phase of TOGAF-ADM. In this work, we carried out a questionnaire to evaluate the process representation of the TOGAF-ADM RM phase in comparison with its textual representation issue from the TOGAF documentation. The obtained results confirmed that process models are helpful to better represent the knowledge included in TOGAF-ADM textual guidelines; thus, practitioners have a more complete description of how to proceed while using TOGAF.
Keywords: Enterprise Architecture | TOGAF-ADM | Knowledge Representation | Process Models | Requirements Management | Questionnaire
مقاله انگلیسی
2 Prognosis of multiple instances in time-aware declarative business process models
پیش بینی موارد متعدد در مدل های فرآیند کسب و کار آگاه از زمان-2020
Technological evolution, heading for industry 4.0, makes companies tend to automate their management and operation, ideally defining it through business process models. To describe policies or rules related to the execution order of the activities in an organization, Declarative Business Process Models permit a relaxed description of activity order, which needs monitoring to detect non-conforming behaviors. Commonly, the detection of a violation implies that the malfunction has already occurred, being better to avoid the violation in advance. To predict future violations, prognosis is required. To allow the modeling of real business behavior, an extension of declarative business process models including both time patterns and multiple instances is proposed. This new model can be used to prognosticate if current process instances may violate a defined model in the future, according to the analysis of the robustness of the process instances evolution. The proposed Model-Based Prognosis is based on analyzing the event traces that represent the current instances and propagate their possible progression through the Constraint Programming paradigm. To ascertain if the model could be violated, it is analyzed how its robustness can tackle unexpected behaviors. To complete the formalization and modeling, an implementation applied to a real medical example is included in the paper. The prognosis of concurrent instances is addressed, dealing with formalized time and activity patterns even considering the resource availability, and getting acceptable execution times. The automatic verification and prognosis of declarative business processes are addressed considering concurrency and synchronization of multiple instances, performing well in terms of execution time.
Keywords: Declarative business processes | Multiple instances | Model-based prognosis | Robustness
مقاله انگلیسی
3 Using business process models for the specification of manufacturing operations
استفاده از مدل های فرآیند کسب و کار برای مشخصات عملیات تولید-2020
Business process management (BPM) is often employed as a driver of integration, by articulating business processes that cross the boundaries of individual business functions. Business process modelling as part of BPM has shown its potential in administrative environments, such as banking and insurance organizations. However, business process modelling remains unproven for all the processes encountered in manufacturing enterprises, including the physical operations processes that transform input materials into the required product. These processes have physical characteristics that make them essentially different from administrative processes with a highly digital nature, like limited physical buffers for intermediate products and transportation times between activities. In this paper, we present an approach to use business process models for the specification of these physical operations processes. Our approach is based on a catalogue of common process fragments that are adapted to the physical nature of manufacturing. These process fragments serve as reusable building blocks for the specification of manufacturing processes. We use the industry standard Business Process Model and Notation (BPMN) to represent both fragments and processes. We demonstrate the use of our catalogue of fragments by modelling and enacting the real-world processes of ten manufacturing organizations. The results show strong support for the use of business process models for both representation and enactment of manufacturing processes. This work closes part of the gap between the support for administrative processes and physical industrial processes, thus contributing to the advent of the smart manufacturing concept in the context of Industry 4.0.
Keywords: Manufacturing operations | Business process modelling | Cross-functional process management
مقاله انگلیسی
4 Using business process models to better understand the dependencies among user stories
استفاده از مدل های فرآیند کسب و کار به منظور درک بهتر وابستگی بین داستان های کاربر-2016
Context: Agile software development projects often manage user requirements with models that are called user stories. Every good user story has to be independent, negotiable, valuable, estimable, small, and testable. A proper understanding of a user story also requires an understanding of its dependencies. The lack of explicit representation of such dependencies presumably leads to missing information regarding the context of a user story. Objective: We propose a method that facilitates better understanding of execution order and integration dependencies of user stories by making use of business process models. The method associates user stories with the corresponding business process model activity element. Method: We adopted a situational method engineering approach to define our proposed method. In order to provide understanding of proposed method’s constructs we used ontological concepts. Our method associates a user story to an activity element. In this way, the business process model can be used to infer information about the execution order and integration dependencies of the user story. We defined three levels of association granularity: a user story can be more abstract, approximately equal to, or more detailed than its associated business process model activity element. In our experiment we evaluate each of these three levels. Results: Our experiment uses a between-subject design. We applied comprehension, problem-solving and recall tasks to evaluate the hypotheses. The statistical results provide support for all of the hypotheses. Accordingly, there appears to be significantly greater understanding of the execution order and integration dependencies of user stories when associated business process models are available. Conclusions: We addressed a problem which arises from managing user stories in software development projects and focuses on the missing context of a user story. Our method contributes to the discipline of conceptual modeling in agile development. Our experiment provides empirical insight into requirement dependencies.
Keywords: User story | Execution order dependency | Integration dependency | Context | Experiment
مقاله انگلیسی
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