Software Engineering Area Curricular Evaluation Method Based in MoProSoft

The Internet of Things (IoT) facilitates in building cyber-physical systems, which are significant for Industry 4.0. Agent-based computing represents effective modeling, programming, and simulation paradigm to develop IoT systems. Agent concepts, techniques, methods, and tools are being used in evolving IoT systems. Over the last years, in particular, there has been an increasing number of agent approaches proposed along with an ever-growing interest in their various implementations. Yet a comprehensive and full-fledged agent approach for developing related projects is still lacking despite the presence of agent-oriented software engineering (AOSE) methodologies. One of the moves towards compensating for this issue is to compile various available methodologies, ones that are comparable to the evolution of the unified modeling language (UML) in the domain of object-oriented analysis and design. These have become de facto standards in software development. In line with this objective, the present research attempts to comprehend the relationship among seven main AOSE methodologies. More specifically, we intend to assess and compare these seven approaches by conducting a feature analysis through examining the advantages and limitations of each competing process, structural analysis, and a case study evaluation method. This effort is made to address the significant characteristics of AOSE approaches. The main objective of this study is to conduct a comprehensive analysis of selected AOSE methodologies and provide a proposal of a draft unified approach that drives strengths (best) of these methodologies towards advancement in this area.

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Incorporation of a software engineering evaluation method in an educational software course in Turkey

Educational Studies ◽

10.1080/03055698.2019.1702509 ◽

2019 ◽

pp. 1-20

Author(s):

Zeynep Yurtseven Avci ◽

Rasha Osman

Keyword(s):

Software Engineering ◽

Educational Software ◽

Evaluation Method

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Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

Behavioral and Brain Sciences ◽

10.1017/s0140525x19003017 ◽

2020 ◽

Vol 43 ◽

Author(s):

Valerie F. Reyna ◽

David A. Broniatowski

Keyword(s):

Decision Making ◽

Software Engineering ◽

Systems Engineering ◽

Evidence Based ◽

Extensive Literature ◽

Trace Theory ◽

Fuzzy Trace Theory ◽

Abstract Representations ◽

Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

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Evaluation method for imaging plate resolution by means of phase contrast transfer function

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100139688 ◽

1995 ◽

Vol 53 ◽

pp. 662-663 ◽

Cited By ~ 1

Author(s):

T. Oikawa ◽

H. Kosugi ◽

F. Hosokawa ◽

D. Shindo ◽

M. Kersker

Keyword(s):

Transfer Function ◽

Phase Contrast ◽

Evaluation Method ◽

Amorphous Film ◽

Imaging Plate ◽

X Rays ◽

Special Shape ◽

Contrast Transfer Function ◽

Contrast Image ◽

Specimen Shape

Evaluation of the resolution of the Imaging Plate (IP) has been attempted by some methods. An evaluation method for IP resolution, which is not influenced by hard X-rays at higher accelerating voltages, was proposed previously by the present authors. This method, however, requires truoblesome experimental preperations partly because specially synthesized hematite was used as a specimen, and partly because a special shape of the specimen was used as a standard image. In this paper, a convenient evaluation method which is not infuenced by the specimen shape and image direction, is newly proposed. In this method, phase contrast images of thin amorphous film are used.Several diffraction rings are obtained by the Fourier transformation of a phase contrast image of thin amorphous film, taken at a large under focus. The rings show the spatial-frequency spectrum corresponding to the phase contrast transfer function (PCTF). The envelope function is obtained by connecting the peak intensities of the rings. The evelope function is offten used for evaluation of the instrument, because the function shows the performance of the electron microscope (EM).

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Combining Values

Guides Newsletter ◽

10.1001/amaguidesnewsletters.2002.marapr01 ◽

2002 ◽

Vol 7 (2) ◽

pp. 1-4, 12 ◽

Cited By ~ 1

Author(s):

Christopher R. Brigham

Keyword(s):

Lower Extremity ◽

Upper Extremity ◽

Evaluation Method ◽

Proximal Phalanx ◽

Common Error ◽

The Third ◽

Whole Person ◽

Impairment Ratings ◽

Upper Extremity Impairment ◽

The Individual

Abstract To account for the effects of multiple impairments, evaluating physicians must provide a summary value that combines multiple impairments so the whole person impairment is equal to or less than the sum of all the individual impairment values. A common error is to add values that should be combined and typically results in an inflated rating. The Combined Values Chart in the AMA Guides to the Evaluation of Permanent Impairment, Fifth Edition, includes instructions that guide physicians about combining impairment ratings. For example, impairment values within a region generally are combined and converted to a whole person permanent impairment before combination with the results from other regions (exceptions include certain impairments of the spine and extremities). When they combine three or more values, physicians should select and combine the two lowest values; this value is combined with the third value to yield the total value. Upper extremity impairment ratings are combined based on the principle that a second and each succeeding impairment applies not to the whole unit (eg, whole finger) but only to the part that remains (eg, proximal phalanx). Physicians who combine lower extremity impairments usually use only one evaluation method, but, if more than one method is used, the physician should use the Combined Values Chart.

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