Characterizing the Usage, Evolution and Impact of Java Annotations in Practice

Yu, Zhongxing; Bai, Chenggang; Seinturier, Lionel; Monperrus, Martin

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.1109/TSE.2019.2910516

Titre :

Characterizing the Usage, Evolution and Impact of Java Annotations in Practice

Auteur(s) :

Yu, Zhongxing [Auteur]
KTH Royal Institute of Technology [Stockholm] [KTH]
Bai, Chenggang [Auteur]
Beihang University [BUAA]
Seinturier, Lionel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Self-adaptation for distributed services and large software systems [SPIRALS]
Monperrus, Martin [Auteur]
KTH Royal Institute of Technology [Stockholm] [KTH]

Titre de la revue :

IEEE Transactions on Software Engineering

Pagination :

969-986

Éditeur :

Institute of Electrical and Electronics Engineers

Date de publication :

2021

ISSN :

0098-5589

Mot(s)-clé(s) en anglais :

Annotation
Statistical Modelling
Empirical Study
Software Evolution

Discipline(s) HAL :

Informatique [cs]/Génie logiciel [cs.SE]
Informatique [cs]/Langage de programmation [cs.PL]

Résumé en anglais : [en]

Annotations have been formally introduced into Java since Java 5. Since then, annotations have been widely used by the Java community for different purposes, such as compiler guidance and runtime processing. Despite the ...
Lire la suite >Annotations have been formally introduced into Java since Java 5. Since then, annotations have been widely used by the Java community for different purposes, such as compiler guidance and runtime processing. Despite the ever-growing use, there is still limited empirical knowledge about the actual usage of annotations in practice, the changes made to annotations during software evolution, and the potential impact of annotations on code quality. To fill this gap, we perform the first large-scale empirical study about Java annotations on 1,094 notable open-source projects hosted on GitHub. Our study systematically investigates annotation usage, annotation evolution, and annotation impact, and generates 10 novel and important findings. We also present the implications of our findings, which shed light for developers, researchers, tool builders, and language or library designers in order to improve all facets of Java annotation engineering.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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