Development of a hybrid method for calculation of software complexity

The use of code metrics allows software developers and project managers to evaluate various features of the software (to be built or already in existence), predict workload, determine software complexity and reliability, and quantify the quality of software systems being developed. Articles written...

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Bibliographic Details
Main Authors: Tofig Kazimov, Tamilla Bayramova
Format: Article
Language:Ukrainian
Published: Igor Sikorsky Kyiv Polytechnic Institute 2022-08-01
Series:Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
Subjects:
Online Access:http://journal.iasa.kpi.ua/article/view/240177
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author Tofig Kazimov
Tamilla Bayramova
author_facet Tofig Kazimov
Tamilla Bayramova
author_sort Tofig Kazimov
collection DOAJ
description The use of code metrics allows software developers and project managers to evaluate various features of the software (to be built or already in existence), predict workload, determine software complexity and reliability, and quantify the quality of software systems being developed. Articles written in recent years have proposed various methods for solving this problem. However, there is still no very effective approach to measuring software complexity. This article provides a brief overview of existing software complexity metrics and proposes a new hybrid method for computing software complexity. The proposed hybrid method for evaluating software complexity combines the key features of the Halsted, Maccabe, and SLOC metrics and also allows for a more efficient assessment of complexity.
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spelling doaj.art-0b34cf1bc37e47f0973921e6c3fa27882024-01-19T12:36:01ZukrIgor Sikorsky Kyiv Polytechnic InstituteSistemnì Doslìdženâ ta Informacìjnì Tehnologìï1681-60482308-88932022-08-012324410.20535/SRIT.2308-8893.2022.2.02277890Development of a hybrid method for calculation of software complexityTofig Kazimov0https://orcid.org/0000-0001-9245-6731Tamilla Bayramova1https://orcid.org/0000-0002-8377-3572Institute of Information Technology of Azerbaijan National Academy of Sciences, BakuInstitute of Information Technology of Azerbaijan National Academy of Sciences, BakuThe use of code metrics allows software developers and project managers to evaluate various features of the software (to be built or already in existence), predict workload, determine software complexity and reliability, and quantify the quality of software systems being developed. Articles written in recent years have proposed various methods for solving this problem. However, there is still no very effective approach to measuring software complexity. This article provides a brief overview of existing software complexity metrics and proposes a new hybrid method for computing software complexity. The proposed hybrid method for evaluating software complexity combines the key features of the Halsted, Maccabe, and SLOC metrics and also allows for a more efficient assessment of complexity.http://journal.iasa.kpi.ua/article/view/240177software engineeringsoftware complexitycomplexity metricshybrid method
spellingShingle Tofig Kazimov
Tamilla Bayramova
Development of a hybrid method for calculation of software complexity
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
software engineering
software complexity
complexity metrics
hybrid method
title Development of a hybrid method for calculation of software complexity
title_full Development of a hybrid method for calculation of software complexity
title_fullStr Development of a hybrid method for calculation of software complexity
title_full_unstemmed Development of a hybrid method for calculation of software complexity
title_short Development of a hybrid method for calculation of software complexity
title_sort development of a hybrid method for calculation of software complexity
topic software engineering
software complexity
complexity metrics
hybrid method
url http://journal.iasa.kpi.ua/article/view/240177
work_keys_str_mv AT tofigkazimov developmentofahybridmethodforcalculationofsoftwarecomplexity
AT tamillabayramova developmentofahybridmethodforcalculationofsoftwarecomplexity