Analyzing Technical Debt by Mapping Production Logs with Source Code
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00371171" target="_blank" >RIV/68407700:21230/22:00371171 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-23387-6_15" target="_blank" >https://doi.org/10.1007/978-3-031-23387-6_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-23387-6_15" target="_blank" >10.1007/978-3-031-23387-6_15</a>
Alternative languages
Result language
angličtina
Original language name
Analyzing Technical Debt by Mapping Production Logs with Source Code
Original language description
Poor coding practices, bad design decisions, and expedited software delivery can introduce technical debt. As software grows, manual detection and management of technical debt become increasingly difficult. To address these problems, recent research offers a variety of approaches for automating the process of recognizing and managing technical debt. Unfortunately, current strategies for measuring technical debt depend on static standards that fail to acknowledge software usage patterns in production. In this paper, we utilized existing tools to identify technical debt using static code analysis and then employed production log analysis to rank these debts dynamically.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The Recent Advances in Transdisciplinary Data Science
ISBN
978-3-031-23386-9
ISSN
1865-0929
e-ISSN
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Number of pages
13
Pages from-to
200-212
Publisher name
Springer Nature Switzerland AG
Place of publication
Basel
Event location
Waco
Event date
Mar 25, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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