research-article

Analyzing program dependencies in Java EE applications

Authors:

Ghizlane El Boussaidi,

Yann-Gaël Guéhéneuc,

Manel AbdellatifAuthors Info & Claims

MSR '17: Proceedings of the 14th International Conference on Mining Software Repositories

Pages 64 - 74

https://doi.org/10.1109/MSR.2017.6

Published: 20 May 2017 Publication History

Abstract

Program dependency artifacts such as call graphs help support a number of software engineering tasks such as software mining, program understanding, debugging, feature location, software maintenance and evolution. Java Enterprise Edition (JEE) applications represent a significant part of the recent legacy applications, and we are interested in modernizing them. This modernization involves, among other things, analyzing dependencies between their various components/tiers. JEE applications tend to be multilanguage, rely on JEE container services, and make extensive use of late binding techniques-all of which makes finding such dependencies difficult. In this paper, we describe some of these difficulties and how we addressed them to build a dependency call graph. We developed our tool called DeJEE (Dependencies in JEE) as an Eclipse plug-in. We applied DeJEE on two open-source JEE applications: Java PetStore and JSP Blog. The results show that DeJEE is able to identify different types of JEE dependencies.

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Cited By

Ochoa LDegueule TVinju JZaidman AKamei YHill E(2018)An empirical evaluation of OSGi dependencies best practices in the eclipse IDEProceedings of the 15th International Conference on Mining Software Repositories10.1145/3196398.3196416(170-180)Online publication date: 28-May-2018
https://dl.acm.org/doi/10.1145/3196398.3196416
Shatnawi AShatnawi HSaied MShara ZSahraoui HSeriai AKhomh FRoy CSiegmund J(2018)Identifying software components from object-oriented APIs based on dynamic analysisProceedings of the 26th Conference on Program Comprehension10.1145/3196321.3196349(189-199)Online publication date: 28-May-2018
https://dl.acm.org/doi/10.1145/3196321.3196349

Analyzing program dependencies in Java EE applications
1. Software and its engineering
  1. Software notations and tools
    1. General programming languages

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cover image ACM Conferences

MSR '17: Proceedings of the 14th International Conference on Mining Software Repositories

May 2017

567 pages

ISBN:9781538615447

General Chair:
Jesus M. Gonzalez-Barahona
Universidad Rey Juan Carlos
,
Program Chairs:
Abram Hindle
University of Alberta
,
Lin Tan
University of Waterloo

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS: Computer Society
SADIO: SADIO

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IEEE Press

Publication History

Published: 20 May 2017

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ICSE '17

Sponsor:

SIGSOFT
IEEE-CS
SADIO

ICSE '17: 39th International Conference on Software Engineering

May 20 - 28, 2017

Buenos Aires, Argentina

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Cited By

Ochoa LDegueule TVinju JZaidman AKamei YHill E(2018)An empirical evaluation of OSGi dependencies best practices in the eclipse IDEProceedings of the 15th International Conference on Mining Software Repositories10.1145/3196398.3196416(170-180)Online publication date: 28-May-2018
https://dl.acm.org/doi/10.1145/3196398.3196416
Shatnawi AShatnawi HSaied MShara ZSahraoui HSeriai AKhomh FRoy CSiegmund J(2018)Identifying software components from object-oriented APIs based on dynamic analysisProceedings of the 26th Conference on Program Comprehension10.1145/3196321.3196349(189-199)Online publication date: 28-May-2018
https://dl.acm.org/doi/10.1145/3196321.3196349

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