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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(1): 71-74 ISSN:2301-3559
DOI: 10.7763/LNSE.2013.V1.16

A Verification Strategy for Dependency Injection

Shrinidhi R. Hudli and Raghu V. Hudli

Abstract—Dependency Injection (DI) is a powerful design and implementation technique to create designs that result in loosely coupled classes in object-oriented environments. IOC containers such as Spring provide a framework to describe the DI constructs for classes that have been designed with dependency inversion. However the knowledge of classes and their dependency is now distributed between the code and context files where the wiring of the classes (beans) is specified.
While IOC containers are able to automatically inject dependent objects at run time based on wiring descriptions, programmers often have the tedious job of ensuring that the wiring descriptions are type safe and will not result in runtime exceptions.
We propose an object reflection driven approach to provide DI verification based on static analysis of the classes that have dependency inversion and their wiring descriptions.

Index Terms—Dependency inversion, inversion of control containers, auto-wiring of objects.

Shrinidhi R. Hudli is with the M.S. Ramaiah Institute of Technology (e-mail: shrinidhi@hudli.com).
Raghu V. Hudli,is with ObjectOrb Technologies Pvt. Ltd.


Cite: Shrinidhi R. Hudli and Raghu V. Hudli, "A Verification Strategy for Dependency Injection," Lecture Notes on Software Engineering  vol. 1, no. 1, pp. 71-74, 2013.

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