Challenges in Comparing Code Maintainability across Different Programming Languages
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910710387179520 |
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| author | Ponsard, Christophe Ospina, Gustavo Darquennes, Denis |
| author_facet | Ponsard, Christophe Ospina, Gustavo Darquennes, Denis |
| contents | Comparing the quality of software written in different computer languages is required in a variety of scenarios, e.g. multi-language projects or application selection process among candidates in different languages. We focus on the challenges related to comparing the maintainability quality typically through a maintainability index or technical debt approaches. We identify and discuss how to manage a number of challenges to produce comparable maintainability assessments across languages related to the programming paradigm (purely procedural vs OO vs multi-paradigm), the coverage of key quality dimensions, and the use of generic metrics vs more languages specific rules. Our work is based on a set of code analysis carried out in Wallonia over the past 15 years. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_15502 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Challenges in Comparing Code Maintainability across Different Programming Languages Ponsard, Christophe Ospina, Gustavo Darquennes, Denis Software Engineering Comparing the quality of software written in different computer languages is required in a variety of scenarios, e.g. multi-language projects or application selection process among candidates in different languages. We focus on the challenges related to comparing the maintainability quality typically through a maintainability index or technical debt approaches. We identify and discuss how to manage a number of challenges to produce comparable maintainability assessments across languages related to the programming paradigm (purely procedural vs OO vs multi-paradigm), the coverage of key quality dimensions, and the use of generic metrics vs more languages specific rules. Our work is based on a set of code analysis carried out in Wallonia over the past 15 years. |
| title | Challenges in Comparing Code Maintainability across Different Programming Languages |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2411.15502 |