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Kaang: a RESTful API generator for the modern web

dc.contributor.authorQueirós, Ricardo
dc.date.accessioned2019-11-07T14:31:02Z
dc.date.available2019-11-07T14:31:02Z
dc.date.issued2018
dc.description.abstractTechnology is constantly evolving, as a result, users have become more demanding and the applications more complex. In the realm of Web development, JavaScript is growing in a surprising way, already leaving the boundaries of the browser, mainly due to the advent of Node.js. In fact, JavaScript is constantly being reinvented and, from the ES2015 version, began to include the OO concepts typically found in other programming languages. With Web access being mostly made by mobile devices, developers face now performance challenges and need to perform a plethora of tasks that weren’t necessary a decade ago, such as managing dependencies, bundling files, minifying code, optimizing images and others. Many of these tasks can be achieved by using the right tools for the job. However, developers not only have to know those tools, but they also must know how to access and operate them. This process can be tedious, confusing, time-consuming and error-prone. In this paper, we present Kaang, an automatic generator of RESTFul Web applications. The ultimate goal of Kaang is to minimize the impact of creating a RESTFul service by automating all its workflow (e.g., files structuring, boilerplate code generation, dependencies management, and task building). This kind of generators will benefit two types of users: will help novice developers to decrease their learning curve while facing the new frameworks and libraries commonly found in the modern Web and speed up the work of expert developers avoiding all the repetitive and bureaucratic work. At the same time, Kaang promotes the good development principles by adding automatic testing and documentation generation. For this accomplishment, Kaang generates the main API content based on the user’s input and a set of templates which will help developers to manage and test routes, define resources, store data models and others. In order to provide an addition level of confidence to the generator’s end-users, the generator will be integrated on Travis CI and published on both the npmjs and Yeoman registries.pt_PT
dc.description.sponsorshipFourEyes is a Research Line within project “TEC4Growth – Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020” financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF).
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.4230/OASIcs.SLATE.2018.1
dc.identifier.urihttp://hdl.handle.net/10400.22/14783
dc.language.isoengpt_PT
dc.publisherSchloss Dagstuhl - Leibniz-Zentrum für Informatikpt_PT
dc.relationNORTE-01-0145-FEDER-000020
dc.subjectWeb developmentpt_PT
dc.subjectGeneratorspt_PT
dc.subjectWeb toolingpt_PT
dc.subjectJavascriptpt_PT
dc.titleKaang: a RESTful API generator for the modern webpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage1:15pt_PT
oaire.citation.startPage1:1pt_PT
oaire.citation.title7th Symposium on Languages, Applications and Technologies SLATE 2018pt_PT
person.familyNameQueirós
person.givenNameRicardo
person.identifierR-000-MDC
person.identifier.ciencia-id711A-CAB3-7A23
person.identifier.orcid0000-0002-1985-6285
person.identifier.scopus-author-id26633220900
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd8531e25-82f0-4a16-8e56-a38070fa64cd
relation.isAuthorOfPublication.latestForDiscoveryd8531e25-82f0-4a16-8e56-a38070fa64cd

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