Introduction to JavaScript

Ferguson, Russ

doi:10.1007/978-1-4842-4395-4_1

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the client-side, JavaScript can be used to add interactivity to a website like validating the details of a form and responding to a button being clicked while also allowing developers to take advantage of browser built-in APIs (application programming interface) such as geolocation capabilities. On the server-side, JavaScript when used by NodeJS has the ability to make requests to a database, create files, and respond to HTTP requests [20][21]. JavaScript itself is one of the most popular languages.…”

Section: Implementation Languagementioning

confidence: 99%

Feast In: A Machine Learning Image Recognition Model of Recipe and Lifestyle Applications

et al. 2021

View full text Add to dashboard Cite

With the increase of individuals having an interest in the culinary world, the demand for recipe and lifestyle applications have increased. As we adapt to the changes around us during these trying times, many have also taken an interest in home-cooking. However, it may be challenging, especially for beginners to brainstorm recipes for cooking as they may not be equipped with the proper ingredients to do so. In this paper, we propose Feast In, a platform for web and mobile devices which aims to meet a user’s needs for home-cooking. The platform focuses on three unique features which make Feast In more than just the average recipe platform. Firstly, an improved search algorithm which goes beyond searching for keywords would help users narrow down recipes which they can use in their kitchen. Next, customization features which would create a personalized experience, specifically towards recipes results. This would provide individuals who may face allergies or dietary restrictions an improved experience as they would not have to browse through recipes which do not meet their needs. Lastly, the search-by-image function which utilizes image recognition and machine learning technologies. Users will be able to upload an image of food that they have come across and Feast In will return a list of results which matches the image uploaded. By conducting this research, we were able to propose a unique lifestyle and recipe application which would aid users in searching for the perfect recipe.

show abstract

Section: Implementation Languagementioning

confidence: 99%

Feast In: A Machine Learning Image Recognition Model of Recipe and Lifestyle Applications

et al. 2021

View full text Add to dashboard Cite

show abstract

“…JavaScript used as a scripting language in an android studio for the development of EFD application and EFD Management System. Usually, it is embedded in HTML pages to dynamically react to the user inputs and also validates them (Oyston, 1999). Therefore, in this study JavaScript in combination with other languages were employed to create forms that require user interaction and input validation such as login and user registration forms.…”

Section: Tools and Technologiesmentioning

confidence: 99%

The Implementation of an Enhanced EFD System with an Embedded Tax Evasion Detection Features: A Case of Tanzania

Shao

Dida

2020

J INFORM SYSTEMS ENG

View full text Add to dashboard Cite

This paper aims at presenting the development of an enhanced Information and Communication Technology tax collection system that in some countries is referred to as Electronic Cash Register while in Tanzania is popularly known as the Electronic Fiscal Device Machine (EFD Machines). In Tanzania, the system was nurtured in 2010 to address the issue of tax evasion and improving revenue collection. Since then it has been used by business entities to print fiscal receipt/invoice and transmit accounting information to Tanzania Revenue Authority (TRA) online system where the revenues raised from the tax were much increased. Regardless of the increase in revenues collection, still, EFD machines and its management system face several challenges concerning tax evasion which are frequently reported by government authorities. The major drawbacks observed from the current system by this study are; under-declaration of sales value, avoid EFD machine usage, the use of fake EFD system, division of business and conducting business in unknown areas without being detected by the EFD system. Therefore this paper presents the development of an improved EFD system that addresses the stipulated drawbacks with pharmaceutical business picked as a case study. The current EFD system weaknesses were fixed by embedding stock tracking and commodity cap-pricing features in the developed system. While developing the system, this study assumed evolutionary prototyping as a system development methodology to develop both EFD machine application software and EFD Management System. The major advances of the new system are its ability to detect; underpriced transactions, avoidance of EFD machine use, and use of fake EFD machines. Thus, stock tracking and cap-pricing capabilities incorporated in the developed system will enable TRA to detect tax evaders and therefore improve revenue collection across the country.

show abstract

“…JS has many new traits (1) it is dynamic and weakly typed; (2) it has first-class functions; (3) it is a class-free, object-oriented programming language that uses prototypal inheritance instead of classical inheritance; and (4) objects in JS inherit properties from other objects directly and all these inherited properties can be changed at runtime. All above-mentioned traits make JS unique and powerful; they also make JS programs very challenging to maintain and reason about [2,3,4].…”

Section: Introductionmentioning

confidence: 99%

Investigating and Recommending Co-Changed Entities for JavaScript Programs

Jiang

Zhong

Meng

2021

Preprint

View full text Add to dashboard Cite

JavaScript (JS) is one of the most popular programming languages due to its flexibility and versatility, but maintaining JS code is tedious and error-prone. In our research, we conducted an empirical study to characterize the relationship between co-changed software entities (e.g., functions and variables), and built a machine learning (ML)-based approach to recommend additional entity to edit given developers' code changes. Specifically, we first crawled 14,747 commits in 10 open-source projects; for each commit, we created one or more change dependency graphs (CDGs) to model the referencer-referencee relationship between co-changed entities. Next, we extracted the common subgraphs between CDGs to locate recurring co-change patterns between entities. Finally, based on those patterns, we extracted code features from co-changed entities and trained an ML model that recommends entities-to-change given a program commit.According to our empirical investigation, (1) three recurring patterns commonly exist in all projects; (2) 80%-90% of co-changed function pairs either invoke the same function(s), access the same variable(s), or contain similar statement(s); (3) our ML-based approach CoRec recommended entity changes with high accuracy (73%-78%). CoRec complements prior work because it suggests changes based on program syntax, textual similarity, as well as software history; it achieved higher accuracy than two existing tools in our evaluation.

show abstract

Introduction to JavaScript

Cited by 3 publications

References 0 publications

Feast In: A Machine Learning Image Recognition Model of Recipe and Lifestyle Applications

Feast In: A Machine Learning Image Recognition Model of Recipe and Lifestyle Applications

The Implementation of an Enhanced EFD System with an Embedded Tax Evasion Detection Features: A Case of Tanzania

Investigating and Recommending Co-Changed Entities for JavaScript Programs

Contact Info

Product

Resources

About