Analysis of software networks

Miloš Savić, Mirjana Ivanović, Lakhmi C. Jain

Research output: A Conference proceeding or a Chapter in BookChapter

1 Citation (Scopus)

Abstract

Modern software systems are characterized not only by a large number of constituent software entities (e.g. functions, modules, classes), but also by complex networks of dependencies among those entities. Analysis of software networks can help software engineers and researchers to understand and quantify software design complexity and evaluate software systems according to software design quality principles. In this chapter, we firstly give a comprehensive overview of previous research works dealing with analysis of software networks. Then, we present a novel network-based methodology to analyze software systems. The proposed methodology utilizes the notion of enriched software networks, i.e. software networks whose nodes are augmented with metric vectors containing both software metrics and metrics used in complex network analysis. The methodology is empirically validated on enriched software networks that represent large-scale Java software systems at different levels of abstraction.

Original languageEnglish
Title of host publicationComplex Networks in Software, Knowledge, and Social Systems
EditorsMiloš Savić, Mirjana Ivanović, Lakhmi C. Jain
Place of PublicationCham, Switzerland
PublisherSpringer
Chapter3
Pages59-141
Number of pages83
Volume148
ISBN (Electronic)9783319911960
ISBN (Print)9783319911946
DOIs
Publication statusPublished - 2019

Publication series

NameIntelligent Systems Reference Library
Volume148
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

Fingerprint Dive into the research topics of 'Analysis of software networks'. Together they form a unique fingerprint.

  • Cite this

    Savić, M., Ivanović, M., & Jain, L. C. (2019). Analysis of software networks. In M. Savić, M. Ivanović, & L. C. Jain (Eds.), Complex Networks in Software, Knowledge, and Social Systems (Vol. 148, pp. 59-141). (Intelligent Systems Reference Library; Vol. 148). Springer. https://doi.org/10.1007/978-3-319-91196-0_3