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Technical Debt Resulting from Architectural Degradation and Code Smells: A Systematic Mapping Study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00354964" target="_blank" >RIV/68407700:21230/21:00354964 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1145/3512753.3512755" target="_blank" >https://doi.org/10.1145/3512753.3512755</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3512753.3512755" target="_blank" >10.1145/3512753.3512755</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Technical Debt Resulting from Architectural Degradation and Code Smells: A Systematic Mapping Study

  • Original language description

    Poor design choices, bad coding practices, or the need to produce software quickly can stand behind technical debt. Unfortunately, manually identifying and managing technical debt gets more difficult as the software matures. Recent research offers various techniques to automate the process of detecting and managing technical debt to address these challenges. This manuscript presents a mapping study of the many aspects of technical debt that have been discovered in this field of study. This includes looking at the various forms of technical debt, as well as detection methods, the financial implications, and mitigation strategies. The findings and outcomes of this study are applicable to a wide range of software development life-cycle decisions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ACM SIGAPP Applied Computing Review

  • ISSN

    1559-6915

  • e-ISSN

    1559-6915

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    17

  • Pages from-to

    20-36

  • UT code for WoS article

    000750193800002

  • EID of the result in the Scopus database