research-article

A metric suite proposal for logical dependency

Authors:

Shirin Akbarinasaji,

Behjat Soltanifar,

Bora Çağlayan,

Ayse Basar Bener,

Andriy Miranskyy,

Bryan M. Kramer,

Ayse TosunAuthors Info & Claims

WETSoM '16: Proceedings of the 7th International Workshop on Emerging Trends in Software Metrics

Pages 57 - 63

https://doi.org/10.1145/2897695.2897704

Published: 14 May 2016 Publication History

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.

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Cited By

Miholca DOnet-Marian Z(2020)An analysis of aggregated coupling's suitability for software defect prediction2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)10.1109/SYNASC51798.2020.00032(141-148)Online publication date: Sep-2020
https://doi.org/10.1109/SYNASC51798.2020.00032
Zeindl MFacchi C(2018)Measuring Architectural Misfit: A Preliminary Real Life Study2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2018.00-18(655-659)Online publication date: Dec-2018
https://doi.org/10.1109/WI.2018.00-18
Misra SAdewumi AFernandez-Sanz LDamasevicius R(2018)A Suite of Object Oriented Cognitive Complexity MetricsIEEE Access10.1109/ACCESS.2018.27913446(8782-8796)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2791344
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cover image ACM Conferences

WETSoM '16: Proceedings of the 7th International Workshop on Emerging Trends in Software Metrics

May 2016

76 pages

ISBN:9781450341776

DOI:10.1145/2897695

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS\DATC: IEEE Computer Society
TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 May 2016

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IEEE-CS\DATC
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ICSE '16: 38th International Conference on Software Engineering

May 14 - 22, 2016

Texas, Austin

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2025 IEEE/ACM 46th International Conference on Software Engineering

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Cited By

Miholca DOnet-Marian Z(2020)An analysis of aggregated coupling's suitability for software defect prediction2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)10.1109/SYNASC51798.2020.00032(141-148)Online publication date: Sep-2020
https://doi.org/10.1109/SYNASC51798.2020.00032
Zeindl MFacchi C(2018)Measuring Architectural Misfit: A Preliminary Real Life Study2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2018.00-18(655-659)Online publication date: Dec-2018
https://doi.org/10.1109/WI.2018.00-18
Misra SAdewumi AFernandez-Sanz LDamasevicius R(2018)A Suite of Object Oriented Cognitive Complexity MetricsIEEE Access10.1109/ACCESS.2018.27913446(8782-8796)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2791344
Miholca DCzibula GMarian ZCzibula I(2017)An Unsupervised Learning Based Conceptual Coupling Measure2017 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)10.1109/SYNASC.2017.00047(247-254)Online publication date: Sep-2017
https://doi.org/10.1109/SYNASC.2017.00047

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