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Discovery of Modularity in Monolithic Java Project Codes Using Complex Networks.

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Title: Discovery of Modularity in Monolithic Java Project Codes Using Complex Networks.
Authors: Cordeiro de Brito Jr, Marcos, Bianchini, Calebe P., Silva, Leandro A.
Source: Journal of Web Engineering; 2025, Vol. 24 Issue 6, p911-942, 32p
Subject Terms: JAVA programming language, COMPUTER architecture, PYTHON programming language, COMPUTER networks, OPEN source software
Abstract: Monolithic architecture is a software design which brings significant difficulties to system developers when it comes to maintenance or expanding the scope of a project. On the other hand, a modular project consists of several similar entities, or modules, which are the object of similar functions or processes that, applied repeatedly, have well-defined classes and smaller modules to work, bringing benefits such as reduced project development time and increased productivity for the system developers. This work proposes the use of complex networks through the NetworkX library in Python, using modularity detection algorithms for the static analysis of Java code. The goal is to discover modules by analyzing dependencies between classes, indicating the best way to identify code clusters to be treated as modules automatically. The outcomes of applying the Greedy Modularity, Louvain, K-Clique, and Girvan Newman algorithms to two open-source projects will be presented. A comparative analysis of these results will be illustrated using generated graphs and a distribution map, emphasizing the number of communities identified by each algorithm. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Web Engineering is the property of River Publishers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
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  Data: Discovery of Modularity in Monolithic Java Project Codes Using Complex Networks.
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  Data: Journal of Web Engineering; 2025, Vol. 24 Issue 6, p911-942, 32p
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  Data: <searchLink fieldCode="DE" term="%22JAVA+programming+language%22">JAVA programming language</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTER+architecture%22">COMPUTER architecture</searchLink><br /><searchLink fieldCode="DE" term="%22PYTHON+programming+language%22">PYTHON programming language</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTER+networks%22">COMPUTER networks</searchLink><br /><searchLink fieldCode="DE" term="%22OPEN+source+software%22">OPEN source software</searchLink>
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  Data: Monolithic architecture is a software design which brings significant difficulties to system developers when it comes to maintenance or expanding the scope of a project. On the other hand, a modular project consists of several similar entities, or modules, which are the object of similar functions or processes that, applied repeatedly, have well-defined classes and smaller modules to work, bringing benefits such as reduced project development time and increased productivity for the system developers. This work proposes the use of complex networks through the NetworkX library in Python, using modularity detection algorithms for the static analysis of Java code. The goal is to discover modules by analyzing dependencies between classes, indicating the best way to identify code clusters to be treated as modules automatically. The outcomes of applying the Greedy Modularity, Louvain, K-Clique, and Girvan Newman algorithms to two open-source projects will be presented. A comparative analysis of these results will be illustrated using generated graphs and a distribution map, emphasizing the number of communities identified by each algorithm. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
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  Data: <i>Copyright of Journal of Web Engineering is the property of River Publishers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.13052/jwe1540-9589.2463
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        Text: English
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        StartPage: 911
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        Type: general
      – SubjectFull: COMPUTER architecture
        Type: general
      – SubjectFull: PYTHON programming language
        Type: general
      – SubjectFull: COMPUTER networks
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      – SubjectFull: OPEN source software
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      – TitleFull: Discovery of Modularity in Monolithic Java Project Codes Using Complex Networks.
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            – D: 01
              M: 09
              Text: 2025
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              Y: 2025
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