A New Framework for Classifying Information Systems Modelling Languages

Subahi, Ahmad F.; Alotaibi, Youseef

doi:10.17706/jsw.13.1.18-42

Cited by 5 publications

(6 citation statements)

References 42 publications

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“…These models express the system from different views and at multiple levels of abstraction to enable the separation of concerns based on developers perspectives. The MDA-based approaches are based on utilizing three kinds of core models, namely, Computation Independent Model (CIM), Platform-Independent Model (PIM), and Platform Specific Model (PSM) [33].…”

Section: Principle Of Model Transformationsmentioning

confidence: 99%

An Intelligent IoT-Based System Design for Controlling and Monitoring Greenhouse Temperature

2020

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The Kingdom of Saudi Arabia is known for its extreme climate where temperatures can exceed 50 °C, especially in summer. Improving agricultural production can only be achieved using innovative environmentally suitable solutions and modern agricultural technologies. Using Internet of Things (IoT) technologies in greenhouse farming allows reduction of the immediate impact of external climatic conditions. In this paper, a highly scalable intelligent system controlling, and monitoring greenhouse temperature using IoT technologies is introduced. The first objective of this system is to monitor the greenhouse environment and control the internal temperature to reduce consumed energy while maintaining good conditions that improve productivity. A Petri Nets (PN) model is used to achieve both monitoring of the greenhouse environment and generating the suitable reference temperature which is sent later to a temperature regulation block. The second objective is to provide an Energy-Efficient (EE) scalable system design that handles massive amounts of IoT big data captured from sensors using a dynamic graph data model to be used for future analysis and prediction of production, crop growth rate, energy consumption and other related issues. The design tries to organize various possible unstructured formats of raw data, collected from different kinds of IoT devices, unified and technology-independent fashion using the benefit of model transformations and model-driven architecture to transform data in structured form.

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Section: Principle Of Model Transformationsmentioning

confidence: 99%

An Intelligent IoT-Based System Design for Controlling and Monitoring Greenhouse Temperature

2020

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“…3 [29][30][31][32][33] Deductive reasoning, solver-based and programming-by-example with user intent expressed using domain specific languages (DSLs).…”

Section: Groupmentioning

confidence: 99%

“…The program derivation process, in this instance, is not regarded as a process of proving a theorem but as a process of transformational steps [171]. There are three mechanisms for expressing rules of transformation [30,135], as follows:…”

mentioning

confidence: 99%

“…Another approach for implementing solvers is adopting an appropriate solver-aided domain specific language (e.g., Rosette [33,48]) and tools. DSLs are used to package the insights and knowledge of domain experts and allow other people who are interested in that domain application to effectively solve problems in that domain [30]. Rosette is a solver-aided DSL that is built on the top of a programmable programming language called Racket to enable the development of the kinds of tools that are based on program verification and synthesis concepts [33,48].…”

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confidence: 99%

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Cognification of Program Synthesis—A Systematic Feature-Oriented Analysis and Future Direction

Subahi

2020

Computers

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Program synthesis is defined as a software development step aims at achieving an automatic process of code generation that is satisfactory given high-level specifications. There are various program synthesis applications built on Machine Learning (ML) and Natural Language Processing (NLP) based approaches. Recently, there have been remarkable advancements in the Artificial Intelligent (AI) domain. The rise in advanced ML techniques has been remarkable. Deep Learning (DL), for instance, is considered an example of a currently attractive research field that has led to advances in the areas of ML and NLP. With this advancement, there is a need to gain greater benefits from these approaches to cognify synthesis processes for next-generation model-driven engineering (MDE) framework. In this work, a systematic domain analysis is conducted to explore the extent to the automatic generation of code can be enabled via the next generation of cognified MDE frameworks that support recent DL and NLP techniques. After identifying critical features that might be considered when distinguishing synthesis systems, it will be possible to introduce a conceptual design for the future involving program synthesis/MDE frameworks. By searching different research database sources, 182 articles related to program synthesis approaches and their applications were identified. After defining research questions, structuring the domain analysis, and applying inclusion and exclusion criteria on the classification scheme, 170 out of 182 articles were considered in a three-phase systematic analysis, guided by some research questions. The analysis is introduced as a key contribution. The results are documented using feature diagrams as a comprehensive feature model of program synthesis showing alternative techniques and architectures. The achieved outcomes serve as motivation for introducing a conceptual architectural design of the next generation of cognified MDE frameworks.

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“…This critical and initial phase produces a prioritized list of system requirements that are easy to be decomposed into final executable system components and reduce the development time and the project costs at testing and maintenance stages (Bagheri et al. , 2019; Subahi and Alotaibi, 2018).…”

Section: Introductionmentioning

confidence: 99%

New goal-oriented requirements extraction framework for e-health services: a case study of diagnostic testing during the COVID-19 outbreak

Alotaibi

Subahi

2021

BPMJ

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PurposeThis paper aims to introduce the goal-oriented requirements extraction approach (GOREA). It is an elicitation approach that uses, specifically, healthcare business goals to derive the requirements of e-health system to be developed.Design/methodology/approachGOREA consists of two major phases: (1) modelling e-health business requirements phase and (2) modelling e-health information technology (IT) and systems requirements phase. The modelling e-health business requirements phase is divided into two main stages: (1) model e-health business strategy stage and (2) model e-health business environment stage. The modelling e-health IT and systems requirements phase illustrates the process of obtaining requirements of e-health system from the organizational goals that are determined in the previous phase. It consists of four main steps that deal with business goals of e-health system: (1) modelling e-health business process (BP) step; (2) modelling e-health business goals step; (3) analysing e-health business goals step; and (4) eliciting e-health system requirements step. A case study based on the basic operations and services in hospital emergency unit for checking patient against COVID-19 virus and taking its diagnostic testing has been set and used to examine the validity of the proposed approach by achieving the conformance of the developed system to the business goals.FindingsThe results indicate that (1) the proposed GOREA has a positive influence on the system implementation according to e-health business expectations; and (2) it can successfully fulfil the need of e-health business in order to save the citizens life by checking them against COVID-19 virus.Research limitations/implicationsThe proposed approach has some limitations. For example, it is only validated using one e-health business goal and thus it has to be authenticated with different e-health business goals in order to address different e-health problems.Originality/valueMany e-health projects and innovations are not established based on robust system requirements engineering phase. In order to ensure the success delivery of e-health services, all characteristics of e-health systems and applications must be understood in terms of technological perspectives as well as the all system requirements.

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A New Framework for Classifying Information Systems Modelling Languages

Cited by 5 publications

References 42 publications

An Intelligent IoT-Based System Design for Controlling and Monitoring Greenhouse Temperature

An Intelligent IoT-Based System Design for Controlling and Monitoring Greenhouse Temperature

Cognification of Program Synthesis—A Systematic Feature-Oriented Analysis and Future Direction

New goal-oriented requirements extraction framework for e-health services: a case study of diagnostic testing during the COVID-19 outbreak

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