Value-Based Process Model Design

This study analyzes relevant contemporary software testing process models. In addition to contemporary theoretical models, the study also analyzes business software testing process models in a considerable number of software organizations. The dual (i.e. theoretical and empirical) analysis of the testing process aims to provide a basis for a testing process model design which is specific to testing business software in small and medium software organizations. The empirical study was conducted by a survey research strategy in 24 software organizations. In order to gather detailed information on the testing process, an interview was conducted on a purpose-selected sample of four organizations. The gathered data were processed by quantitative and qualitative data analysis. The results of theoretical and empirical research were used as a basis for attaining the study’s desired outcome: the business software testing process-based model which was graphically presented in BPMN 2.0 notation and described according to the ISO/IEC TR 24774 standard for process description in systems and software engineering. The combination of the graphic representation of the model and its description in compliance with the process description is a proven method in process management, which should enable easier understanding, and thus the implementation of the model in small and medium software organizations.

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Green University Using Cloud Based Internet of Things Model for Energy Saving

International Education Studies ◽

10.5539/ies.v13n9p123 ◽

2020 ◽

Vol 13 (9) ◽

pp. 123

Author(s):

Sunti Sopapradit ◽

Pallop Piriyasurawong

Keyword(s):

Internet Of Things ◽

Energy Saving ◽

Process Model ◽

Development Process ◽

Model Development ◽

Second Phase ◽

Model Design ◽

University Management ◽

Two Phases ◽

Model Development Process

The research was conducted to study and develop a Green University using Cloud based Internet of Things model for energy saving. The aims of this study were 1) to study and design 2) to evaluate a model of Green University using Cloud based Internet of Things for energy saving. There are two phases of the research method. The first phase included the model design: 1) to study, analyze, and synthesize the contents, 2) to develop a process model of Green University using Cloud based Internet of Things, 3) to present the constructed model, and 4) to conclude the results. The second phase is referred to an evaluation of the model. Nine experts from Green University’s Electrical, Information Technology, and university management team were included in the research as sample group. Then, the data were analyzed by standard deviations and means. The model development process has 3 components that include 10 procedures. This model helps to energy saving. As the overall model was shown at a very good level, the experts agreed.

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Process discovery and Petri nets

Mathematical Structures in Computer Science ◽

10.1017/s0960129509990132 ◽

2009 ◽

Vol 19 (6) ◽

pp. 1091-1124 ◽

Cited By ~ 3

Author(s):

NADIA BUSI ◽

G. MICHELE PINNA

Keyword(s):

Petri Nets ◽

Petri Net ◽

Process Model ◽

Process Mining ◽

Model Design ◽

Abstract Representation ◽

Process Discovery ◽

Event Logs ◽

Mining Methods ◽

Research Domain

The aim of the research domain known as process mining is to use process discovery to construct a process model as an abstract representation of event logs. The goal is to build a model (in terms of a Petri net) that can reproduce the logs under consideration, and does not allow different behaviours compared with those shown in the logs. In particular, process mining aims to verify the accuracy of the model design (represented as a Petri net), basically checking whether the same net can be rediscovered. However, the main mining methods proposed in the literature have some drawbacks: the classical α-algorithm is unable to rediscover various nets, while the region-based approach, which can mine them correctly, is too complex.In this paper, we compare different approaches and propose some ideas to counter the weaknesses of the region-based approach.

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Swing Process Model Design of a Cutter Suction Dredger Based on RBF-ARX Model

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/428/1/012018 ◽

2018 ◽

Vol 428 ◽

pp. 012018

Author(s):

Shuang Jiang ◽

Fusheng Ni ◽

Lina Qian

Keyword(s):

Process Model ◽

Model Design ◽

Arx Model

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Cutting Process Model Design of Cutter Suction Dredger Based on Auto Regressive eXogenous and Radial Basis Function model

Journal of Physics Conference Series ◽

10.1088/1742-6596/2137/1/012064 ◽

2021 ◽

Vol 2137 (1) ◽

pp. 012064

Author(s):

Huan Zhang ◽

Menghong Yu ◽

Wei Yuan

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Process Model ◽

Cutting Process ◽

Model Design ◽

Arx Model ◽

Radial Basis ◽

Auto Regressive ◽

Simulation Results ◽

The Mathematical Model

Abstract The dredging operation of the strander dredger is complex, and the mathematical model established according to its key equipment characteristics is not possible to describe such a system having time degeneration and non-linear. Therefore, based on the analysis of mud formation process of dredger, RBF-ARX model is used to model the cutting process, and mud concentration is taken as the output. This modeling method is a combination model based on the theory of Auto-Regressive eXogenous (ARX) model and Gauss radial basis function (Radial Basis Function) neural network (RBF). The comparison between the simulation results and the actual data shows that the model can accurately describe the dynamic characteristics of cutter suction dredger in the cutting process.

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