Django Web Framework Software Metrics Measurement Using Radon and Pylint

Liawatimena, Suryadiputra; Warnars, Harco Leslie Hendric Spits; Trisetyarso, Agung; Abdurahman, Edi; Soewito, Benfano; Wibowo, Antoni; Gaol, Ford Lumban; Abbas, Bahtiar Saleh

doi:10.1109/inapr.2018.8627009

Cited by 20 publications

(8 citation statements)

References 9 publications

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“…The last step in the proposed methodology is to build the Decision Support Engine (DSE) by a programming language, that will be used to identify the best locations for carrying out an E-marketing project. Django according to (Liawatimena, et al, 2018) is a framework for web development using Python and was created for the quick development of database-driven sites. The Django framework gives a great emphasis on the reuse of models and templates, as well as the DRY (Don't Repeat Yourself) rule (Aziz, 2021).…”

Section: 4) Decision Support Enginementioning

confidence: 99%

Programming an Interactive Map to Enhance Clients' Participation in Site Selection of E-Marketing, in Cairo and Giza Governorates- Egypt

Alkot

Sayed

2022

Bulletin de la Société de Géographie d'Egypte

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Multiple-Criteria Decision Analysis (MCDA) is concerned with structuring and taking decisions involving multiple criteria. Integrated with Geographic Information System (GIS) technology, MCDA can be used to select the best locations for any investment project. However, not all investors/clients have the required skills to use these specialized methods and programs. Also, there may be an incompatibility between the consultant and the end user in the end results. Therefore, this research aims to program a web-based Decision Support Engine (DSE) to facilitate the decision-making process and involve the end user easily. The proposed DSE was applied to an E-marketing applied study in Cairo and Giza governorates. Data were collected by electronic questionnaire (928 Questionnaires) processed by SPSS, to create the geodatabase used by the Django web framework to build the DSE. The end result of DSE is producing an Interactive Map to support clients' decision-making in an easy manner. [Bul. Soc. Géog. d'Égypte, 2022, 95: 1-22].

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Section: 4) Decision Support Enginementioning

confidence: 99%

Programming an Interactive Map to Enhance Clients' Participation in Site Selection of E-Marketing, in Cairo and Giza Governorates- Egypt

Alkot

Sayed

2022

Bulletin de la Société de Géographie d'Egypte

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“…So the next step is to schematize, through a meta-model, how an application in Vue.js is structured. Based on the Vue.js documentation [32], and on the analysis of well-regarded Vue.js projects 3 , such as the VUEMMERCE 4 and COPILOT 5 projects, the meta-model presented in Figure 5 was defined.…”

Section: B the Framework Meta-modelmentioning

confidence: 99%

“…Websites have since become complex web applications that perform transactions, present real-time data, and provide interactive experiences to users [3]. Due to this complexity, development support has evolved through the availability of frameworks that automate recurring implementation patterns, thus reducing the need for boilerplate code [4]. More recently, low code (or even, no code) development platforms aim to further automate the programming of user interfaces [5].…”

Section: Introductionmentioning

confidence: 99%

Towards the integration of user interface prototyping and model-based development

Machado

Campos

2021

2021 International Conference on Graphics and Interaction (ICGI)

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The main objective of this paper is to make a contribution in the automation of web applications' development, starting from prototypes of their graphical user interfaces.Due to the exponential increase in the use of internet-based services and applications, there is an also increasing demand for Web designers and developers. At the same time, the proliferation of languages, frameworks and libraries illustrates the current state of immaturity of web development technologies. This state of affairs creates difficulties in the development and maintenance of Web applications.In this paper, we argue that integrating concepts of modelbased user interface development with the more traditional usercentred design approach to development can provide an answer to this situation. An approach is presented that allows designers to use prototyping tools, in this case Adobe XD, to design graphical interfaces, and then automatically converts them to (Vue.js + Bootstrap) code, thus creating a first version of the implementation for further development. This is done through the interpretation of the SVG file that Adobe XD exports.

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“…A web-based screening tool for autism spectrum disorder (ASD) using facial images is the focus of this work, which intends to provide a rapid and easy-to-use ASD assessing alternative tool, that is built on a well-trained dense convolutional network (Densenet) model using an optimizer called the control sub-gradient algorithm (CSA) [16], which update the learning rate by a control step in each iteration of each epoch. Also, to make it widely accessible this tool was developed using the Python web framework Django [17] and deployed online to the cloud platform Heroku [18].…”

Section: Introductionmentioning

confidence: 99%

Web-based autism screening using facial images and convolutional neural network

Ikermane

Mouatasim²

2023

IJEECS

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Developmental disabilities such as autism spectrum disorder (ASD) affect a person’s ability to interact socially, and communicate effectively and also cause behavioral issues. Children with ASD cannot be cured but they might benefit from early intervention to enhance their cognitive abilities, favorite their growth , and affect their lives and families in a positive way. Multiple standard ASD screening tools are used such as the autism diagnostic observational schedule (ADOS) and the autism diagnostic interview (ADI), which are known to be lengthy and challenging without specialist training to administrate and score. The process of ASD assessment can be time-consuming and costly, and the growing number of autistic cases worldwide indicates an urgent need for a quick, simple, and dependable self-administered autism screening tool that may be used if a child displays some of the common signs of autism, and to ensure whether or not he should seek professional full ASD diagnosis. According to a number of studies, ASD individuals exhibit facial phenotypes that are distinct from those of normally developing children. Furthermore, convolutional neural networks (CNN) have mostly found utility in image classification applications due to their high classification accuracy. Using facial images, a dense convolutional network (Densenet) model, and cloud-based advantages, in this paper we proposed a practical, fast, and easy-to-use ASD online screening approach. Easily available through the internet via the link “https://asd-detector.herokuapp.com/”, our suggested web-based screening instrument may be a practical and trustworthy tool for practitioners in their ASD diagnostic procedures with a 98 percent testing dataset classification accuracy.

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Django Web Framework Software Metrics Measurement Using Radon and Pylint

Cited by 20 publications

References 9 publications

Programming an Interactive Map to Enhance Clients' Participation in Site Selection of E-Marketing, in Cairo and Giza Governorates- Egypt

Programming an Interactive Map to Enhance Clients' Participation in Site Selection of E-Marketing, in Cairo and Giza Governorates- Egypt

Towards the integration of user interface prototyping and model-based development

Web-based autism screening using facial images and convolutional neural network

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