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This purpose of this paper is to present ISML-MDE, a model-driven environment that includes ISML, a platform-independent modeling language for enterprise applications; ISML-GEN, a code generation framework to automatically generate code from models; and LionWizard, a tool to automatically integrate different components into a unified codebase.

The development comprises five stages: standardizing architecture; refactoring and adapting existing components; automating their integration; developing a modeling language; and creating code generators. After development, model-to-code ratios in ISML-MDE are measured for different applications.

The average model-to-code ratio is approximately 1:4.6 when using the code generators from arbitrary models. If a model transformation is performed previously to the code generation, this ratio raises to 1:115. The current validation efforts show that ISML properly supports several DSL essential characteristics described by Kahraman and Bilgen (2015).

ISML-MDE was tested on relatively small applications. Further validation of the approach requires measurement of development times and their comparison with previous similar projects, to determine the gains in productivity.

The value of ISML-MDE can be summarized as follows: ISML-MDE has the potential to significantly reduce development times, because of an adequate use of models and transformations. The design of ISML-MDE addresses real-world development requirements, obtained from a tight interaction between the researchers and the software development company. The underlying process has been thoroughly documented and it is believed it can be used as a reference for future developments of MDE tools under similar conditions.

Science of systems requires a specific and constructive mathematical model and language, which describe jointly such systemic categories as adaptation, self‐organization, complexity, evolution, and bring the applied tools for building a system model for each specific object of a diverse nature. This formalism should be connected directly with a world of information and computer applications of systemic model, developed for a particular object. The considered information systems theory (IST) is aimed at building a bridge between the mathematical systemic formalism and information technologies to develop a constructive systemic model of revealing information regularities and specific information code for each object.

To fulfill this goal and the considered systems' definition, the IST joins two main concepts: unified information description of interacted flows, initiated by the sources of different nature, with common information language and systems modeling methodology, applied to distinct interdisciplinary objects; general system's information formalism for building the model, which allows expressing mathematically the system's regularities and main systemic mechanisms.

The formalism of informational macrodynamics (IMD), based of the minimax variational principle, reveals the system model's main layers: microlevel stochastics, macrolevel dynamics, hierarchical dynamic network (IN) of information structures, its minimal logic, and optimal code of communication language, generated by the IN hierarchy, dynamics, and geometry. The system's complex dynamics originate information geometry and evolution with the functional information mechanisms of ordering, cooperation, mutation, stability, diversity, adaptation, self‐organization, and the double helix's genetic code.

The developed IMD's theoretical computer‐based methodology and the software has been applied to such areas as technology, communications, computer science, intelligent processes, biology, economy, management, and other nonphysical and physical subjects.

The IMD's macrodynamics of uncertainties connect randomness and regularities, stochastic and determinism, reversibility and irreversibility, symmetry and asymmetry, stability and instability, structurization and stochastization, order and disorder, as a result of micro‐macrolevel's interactions for an open system, when the external environment can change the model's structure.

This paper aims to report on a project aimed at moving Foster's nonlinear model of information seeking behaviour forwards from an empirically based model focused on one setting and towards one that is robustly transferable and enables testing of the model in other information‐seeking situations.

The method utilised recoding of the original dataset, comparison of code decisions, and testing of the code book on a second dataset.

The results of the coding confirm the structure and interactions in version one of the model. The dynamic and nonlinear nature of information seeking is confirmed, as are the core processes and contextual dimensions of the original model with some extension and refinement of coding.

Changes to the model include new scales of extent and intensity, refinement of code descriptions, and extension of some elements to include multidisciplinary theories. Collectively these changes enable testing of the model in other information situations and opportunities for further research.

The results incorporate a number of enhancements that have been developed since the original Foster model was created; cognitive dimensions relating to personality and learning are enhanced and the codes essential to the revised Foster model are described along with a code book. The paper concludes by highlighting areas for further research.

The purpose of this paper is to propose a three-dimensional (3D) assembly model retrieval method based on assembling semantic information to address semantic mismatches, poor accuracy and low efficiency in existing 3D assembly model retrieval methods.

The paper proposes an assembly model retrieval method. First, assembly information retrieval is performed, and 3D models that conform to the design intention of the assembly are found by retrieving the code. On this basis, because there are conjugate subgraphs between attributed adjacency graphs (AAG) that have an assembly relationship, the assembly model geometric retrieval is translated into a problem of finding AAGs with a conjugate subgraph. Finally, the frequent subgraph mining method is used to retrieve AAGs with conjugate subgraphs.

The method improved the efficiency and accuracy of assembly model retrieval.

The examples illustrate the specific retrieval process and verify the feasibility and reasonability of the assembly model retrieval method in practical applications.

The assembly model retrieval method in the paper is an original method. Compared with other methods, good results were obtained.

According to its supporters open source software is more secure and reliable than proprietary code, and even tends to foster more innovation. Its technical superiority can be linked to the ongoing peer review process which typifies the open source model. In addition, programs such as Linux offer a potential challenge to the hegemony of Microsoft. Open source holds out the possibility of restraining platform leaders such as Microsoft from acting opportunistically. Some even argue that the open source code model is ethically superior to the proprietary model because of its transparency. Given these economic and social benefits, should government policy makers intervene, by tilting the playing field to open source programs? Would such government intervention truly be welfare‐enhancing? Before answering that question we note that some of the presumed technical and economic benefits of open source software are open to question. At the same time, the claims of moral superiority or social desirability are inflated and discount incentives necessary for software development. But even if this software were technically and morally superior, there is still no basis for government intervention. Our position is simple: the invisible hand of the market and not the visible hand of government should decide the fate of open source code. There is no identifiable market failure for the government to fix nor is there any plausible policy justification for giving open source software preferential treatment.

The purpose of paper is to supply a code of ethics that can be easily utilized by working professional in their day to day decision making. The accounting profession plays a vital role in the functioning of modern society. It is essential that members of this profession be ethical and stand fast against the internal and external pressures that might encourage these professionals to engage in fraudulent activities. Codes of ethics provide a coherent articulation of the ideals, responsibilities and limitations of the collective ethic of a profession’s members and can assist in guiding ethical behavior.

Our model is based on the professional values of justice, utility, competence and utility, i.e. JUCI model, which is a straightforward and easily understandable ethical decision-making model that the average accounting professional, as well as finance professionals in general, may reference when challenged with difficult ethical quandaries.

This code, the JUCI Code, represents a contribution to the literature in that its simple, but not simplistic, approach could be of enormous benefit to busy and pressured accountants who need help in constructing independently achieved and defensible rational ethical decisions in the practice of accounting.

In this paper, the authors build upon a review of ethical foundations and codes of conduct in other professions to construct our code of ethics for accounting professionals.

This model national code for interlibrary lending was drawn up in 1983 by the IFLA Office for International Lending for the IFLA Section on Interlending. It is recommended as a model for all countries that do not at present have a national code for interlibrary lending or that wish to revise existing codes. A model national code clearly cannot take account of all variations in practice between countries. Provision has therefore been made for individual countries to include information specific to their country (see sections in square brackets). It is important to understand the research and study that lies behind this code. The following documents are recommended: i. Line, M B (and others). National interlending systems: a comparative study of existing systems and possible models. Paris, Unesco, 1980. (PGI/78/WS/24 Rev.) ii. Line, M B and Vickers, S. Principles of national interlending systems. Interlending Review, 1978, vol 6, no 2, 50–53. If the model code cannot be adapted to any particular country's needs, the following checklist may be used as a guide to the topics that a code should cover: i. definition of interlending. ii. a statement of any broad principles. iii. any other national regulations, manuals, etc that should be known. iv. verification of requests. v. location of required materials and/or channels to be used. vi. standard formats. vii. transmission methods for requests. viii. treatment of requests received. ix. delivery of requested material. x. loan periods, return of material, renewals. xi. responsibility for loss or damage. xii. charges and payment procedures. xiii. statistics.

This paper aims to present a hierarchal and operational model of coding knowledge towards facilitating the transformation of knowledge in organizations.

The methodology used, is based on collaborative participation in knowledge coding that is widely used in large settings such as Wikipedia.

Knowledge coding means the transfer of knowledge into a model which can be stored and shared. According to this definition, Knowledge can be accepted as a set of facts and the relationships among them. Through the suggested hierarchical model, primarily facts and initial entities are determined and knowledge record begins with the start of recording routines. In general, each routine is made up of simpler routines and facts. Thus the final model, which is a set of compound and complicated routines, can encode different levels of knowledge with different complexities. The suggested model in the explained processes is a conceptual model and a descriptive model in explaining facts.

Due to high-level programming expertise, in this paper, only the method of implementation of the proposed operational model has been explained. The proposed method maintains various advantages such as applicability, comprehensibility by different people in an organization, the possibility of knowledge coding at different levels, supporting abstract concepts besides operational ones and finally the possibility of implementing it by existing tools.

The suggested model can be used for a variety of needs. For instance, in this paper, the first modelling example referred to a software concept, while the other referred to the implementation of an organizational process. Due to a hierarchy in describing knowledge, the suggested model can be used by any user with any level of knowledge (either user or registrar).

This method can create a change in social media and make it possible for anyone in any society with any level of information to share their knowledge at their own level and use the knowledge of others at the same level.

The strength of the proposed model stems from its hierarchical nature which is considered for knowledge coding at different levels and includes advantages such as comprehensibility for different people in an organization, the possibility of knowledge coding at different levels and supporting abstract concepts in addition to operational ones.

Physical phenomena interact with each other in ways that one cannot be analyzed without considering the other. To account for such interactions between multiple phenomena, partitioning has become a widely implemented computational approach. Partitioned analysis involves the exchange of inputs and outputs from constituent models (partitions) via iterative coupling operations, through which the individually developed constituent models are allowed to affect each other’s inputs and outputs. Partitioning, whether multi-scale or multi-physics in nature, is a powerful technique that can yield coupled models that can predict the behavior of a system more complex than the individual constituents themselves. The paper aims to discuss these issues.

Although partitioned analysis has been a key mechanism in developing more realistic predictive models over the last decade, its iterative coupling operations may lead to the propagation and accumulation of uncertainties and errors that, if unaccounted for, can severely degrade the coupled model predictions. This problem can be alleviated by reducing uncertainties and errors in individual constituent models through further code development. However, finite resources may limit code development efforts to just a portion of possible constituents, making it necessary to prioritize constituent model development for efficient use of resources. Thus, the authors propose here an approach along with its associated metric to rank constituents by tracing uncertainties and errors in coupled model predictions back to uncertainties and errors in constituent model predictions.

The proposed approach evaluates the deficiency (relative degree of imprecision and inaccuracy), importance (relative sensitivity) and cost of further code development for each constituent model, and combines these three factors in a quantitative prioritization metric. The benefits of the proposed metric are demonstrated on a structural portal frame using an optimization-based uncertainty inference and coupling approach.

This study proposes an approach and its corresponding metric to prioritize the improvement of constituents by quantifying the uncertainties, bias contributions, sensitivity analysis, and cost of the constituent models.

Virtual product design has become a key technology in reducing costly design errors that are often difficult to detect manually. In order to evaluate product assembly in a virtual environment, it is important to link a product's design in CAD with the constrained complexity of assembly operations in CAM so that the design can be evaluated and modified in a virtual environment before production begins. The paper aims to focus on this.

The proposed virtual system includes the following components: a product assembly coding model, named Open Structured Assembly Coding System (OSACS), that codes part‐mating operations for assembling any two parts in CAM; a rule‐based code extractor that identifies OSACS codes for assembling product from the part‐mating information encoded in Standard for the Exchange of Product Model Data AP‐203 CAD data; and an assembly‐sequence generator that generates a binary assembly‐tree for the designed product coded with OSACS assembly codes, representing assembly operations in CAM for product assembly.

The proposed system links the design phase in CAD with the manufacturing phase in CAM. Simulation studies were made using CAD Ap‐203 data files from an actual mobile phone housing assembly. A binary assembly‐tree assigned with OSACS assembly codes was generated for assembling the product. The assembling complexity between any two parts was coded with the unique OSACS assembly codes. The final binary assembly tree represents how the product is going to be assembled in CAM with the mating complexity encoded in the assigned OSACS codes.

The advantage of this virtual product assembly system is that a design can be validated first in a virtual environment without building the expensive physical production system. Moreover, additional design iterations can be performed in the same amount of time to improve product quality.

Linking product design in CAD with assembly operations in CAM can help realize significant cost savings by preventing future manufacturing problems. With the proposed virtual system, a company can prevent a potential problematic design from reaching production.

This paper introduces the conceptual design of a virtual system that links product design in CAD with assembly operations in CAM. This system provides a designer with a virtual product assembly process to evaluate a designed product.