(Automated) software modularization using community detection

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

(Automated) software modularization using community detection. / Hansen, Klaus Marius; Manikas, Konstantinos.

Software architecture: 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7–11, 2015, Proceedings. ed. / Danny Weyns; Raffaela Mirandola; Ivica Crnkovic. Springer, 2015. p. 95-102 (Lecture notes in computer science, Vol. 9278).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Hansen, KM & Manikas, K 2015, (Automated) software modularization using community detection. in D Weyns, R Mirandola & I Crnkovic (eds), Software architecture: 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7–11, 2015, Proceedings. Springer, Lecture notes in computer science, vol. 9278, pp. 95-102, European Conference on Software Architecture Workshops 2015, Dubrovnik/Cavtat, Croatia, 07/09/2015. https://doi.org/10.1007/978-3-319-23727-5_8

APA

Hansen, K. M., & Manikas, K. (2015). (Automated) software modularization using community detection. In D. Weyns, R. Mirandola, & I. Crnkovic (Eds.), Software architecture: 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7–11, 2015, Proceedings (pp. 95-102). Springer. Lecture notes in computer science Vol. 9278 https://doi.org/10.1007/978-3-319-23727-5_8

Vancouver

Hansen KM, Manikas K. (Automated) software modularization using community detection. In Weyns D, Mirandola R, Crnkovic I, editors, Software architecture: 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7–11, 2015, Proceedings. Springer. 2015. p. 95-102. (Lecture notes in computer science, Vol. 9278). https://doi.org/10.1007/978-3-319-23727-5_8

Author

Hansen, Klaus Marius ; Manikas, Konstantinos. / (Automated) software modularization using community detection. Software architecture: 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7–11, 2015, Proceedings. editor / Danny Weyns ; Raffaela Mirandola ; Ivica Crnkovic. Springer, 2015. pp. 95-102 (Lecture notes in computer science, Vol. 9278).

Bibtex

@inproceedings{a9fe23592823483db36bba478c7fbf2b,
title = "(Automated) software modularization using community detection",
abstract = "The modularity of a software system is known to have an effect on, among other, development effort, change impact, and technical debt. Modularizing a specific system and evaluating this modularization is, however, challenging. In this paper, we apply community detection methods to the graph of class dependencies in software systems to find optimal modularizations through communities. We evaluate this approach through a study of 111 Java systems contained in the Qualitas Corpus. We found that using the modularity function of Newman with an Erd{\H o}s-R{\'e}nyi null-model and using the community detection algorithm of Reichardt and Bornholdt improved community quality for all systems, that coupling decreased for 99 of the systems, and that coherence increased for 102 of the systems. Furthermore, the modularity function correlates with existing metrics for coupling and coherence.",
author = "Hansen, {Klaus Marius} and Konstantinos Manikas",
year = "2015",
doi = "10.1007/978-3-319-23727-5_8",
language = "English",
isbn = "978-3-319-23726-8",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "95--102",
editor = "Danny Weyns and Raffaela Mirandola and Ivica Crnkovic",
booktitle = "Software architecture",
address = "Switzerland",
note = "null ; Conference date: 07-09-2015 Through 11-09-2015",

}

RIS

TY - GEN

T1 - (Automated) software modularization using community detection

AU - Hansen, Klaus Marius

AU - Manikas, Konstantinos

N1 - Conference code: 9

PY - 2015

Y1 - 2015

N2 - The modularity of a software system is known to have an effect on, among other, development effort, change impact, and technical debt. Modularizing a specific system and evaluating this modularization is, however, challenging. In this paper, we apply community detection methods to the graph of class dependencies in software systems to find optimal modularizations through communities. We evaluate this approach through a study of 111 Java systems contained in the Qualitas Corpus. We found that using the modularity function of Newman with an Erdős-Rényi null-model and using the community detection algorithm of Reichardt and Bornholdt improved community quality for all systems, that coupling decreased for 99 of the systems, and that coherence increased for 102 of the systems. Furthermore, the modularity function correlates with existing metrics for coupling and coherence.

AB - The modularity of a software system is known to have an effect on, among other, development effort, change impact, and technical debt. Modularizing a specific system and evaluating this modularization is, however, challenging. In this paper, we apply community detection methods to the graph of class dependencies in software systems to find optimal modularizations through communities. We evaluate this approach through a study of 111 Java systems contained in the Qualitas Corpus. We found that using the modularity function of Newman with an Erdős-Rényi null-model and using the community detection algorithm of Reichardt and Bornholdt improved community quality for all systems, that coupling decreased for 99 of the systems, and that coherence increased for 102 of the systems. Furthermore, the modularity function correlates with existing metrics for coupling and coherence.

U2 - 10.1007/978-3-319-23727-5_8

DO - 10.1007/978-3-319-23727-5_8

M3 - Article in proceedings

SN - 978-3-319-23726-8

T3 - Lecture notes in computer science

SP - 95

EP - 102

BT - Software architecture

A2 - Weyns, Danny

A2 - Mirandola, Raffaela

A2 - Crnkovic, Ivica

PB - Springer

Y2 - 7 September 2015 through 11 September 2015

ER -

ID: 145152614