A metric suite proposal for logical dependency

Shirin Akbarinasaji, Behjat Soltanifar, Bora Çaǧlayan, Ayse Basar Bener, Andriy Miranskyy, Asli Filiz, Bryan M. Kramer, Ayse Tosun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Logical dependencies refer to hidden interconnections among source files that are changed together in order to address an issue or change in the system. In this study we propose six metrics for logical dependency using heuristics on change time. We evaluated our proposed metrics using data from three different software companies. We also built defect prediction models with our proposed logical dependency metrics, commonly used baseline metrics, as well as combination of both. Result of our empirical studies shows that our proposed metrics are capable of capturing the characteristics of dependency among software components. It also shows the logical dependency metrics improve the performance of defect prediction models.

Original languageEnglish
Title of host publicationProceedings - 7th International Workshop on Emerging Trends in Software Metrics, WETSoM 2016
PublisherAssociation for Computing Machinery, Inc
Pages57-63
Number of pages7
ISBN (Electronic)9781450341776
DOIs
Publication statusPublished - 14 May 2016
Event7th International Workshop on Emerging Trends in Software Metrics, WETSoM 2016 - Austin, United States
Duration: 14 May 2016 → …

Publication series

NameProceedings - 7th International Workshop on Emerging Trends in Software Metrics, WETSoM 2016

Conference

Conference7th International Workshop on Emerging Trends in Software Metrics, WETSoM 2016
Country/TerritoryUnited States
CityAustin
Period14/05/16 → …

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

  • Defect prediction model
  • Logical dependency
  • Software metrics

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