Raw data for the paper "Are Architectural Smells independent from Code Smells? An empirical study" The csv files include the analysis of the 111 projects included in the Qualitas Corpus reporting architectural smells and code smells
Background: Code smells are indicators of quality problems that make a software hard to maintain and...
Architectural smells (AS) are notorious for their long-term impact on the Maintainability and Evolva...
Raw data for the replication of the studies: [1] A. F. Yamashita, L. Moonen, Do developers care ab...
Background. Architectural smells and code smells are symptoms of bad code or design that can cause d...
This dataset includes classes with code smells, acquired from Qualitas Corpus (QC). Folder 'all' con...
This is the csv file used in our experiment with 3000 code-smell posts and 3000 non-code-smell posts...
Code smells are symptoms of poor design and implementation choices, which might hinder comprehension...
This is the csv file used in our experiment with 1101 code-smell posts and 1204 non-code-smell posts...
This dataset contains all data and results from the "Can you tell me if it smells? A study on how de...
Dataset of the paper "The relationship between code smells and design patterns: an external replicat...
This is the dataset of our literature review study on Architecture Maintainability Smells. We provid...
Although architectural smells are one of the most studied type of architectural technical debt, thei...
This repository contains the data and results from the paper "Code Smells Detection via Code Review:...
Code smells are symptoms of poor design or implementation choices that have a negative effect on sev...
This repository contains the datasets, obtained in 3 years, resulting from the Crowdsmelling methodo...
Background: Code smells are indicators of quality problems that make a software hard to maintain and...
Architectural smells (AS) are notorious for their long-term impact on the Maintainability and Evolva...
Raw data for the replication of the studies: [1] A. F. Yamashita, L. Moonen, Do developers care ab...
Background. Architectural smells and code smells are symptoms of bad code or design that can cause d...
This dataset includes classes with code smells, acquired from Qualitas Corpus (QC). Folder 'all' con...
This is the csv file used in our experiment with 3000 code-smell posts and 3000 non-code-smell posts...
Code smells are symptoms of poor design and implementation choices, which might hinder comprehension...
This is the csv file used in our experiment with 1101 code-smell posts and 1204 non-code-smell posts...
This dataset contains all data and results from the "Can you tell me if it smells? A study on how de...
Dataset of the paper "The relationship between code smells and design patterns: an external replicat...
This is the dataset of our literature review study on Architecture Maintainability Smells. We provid...
Although architectural smells are one of the most studied type of architectural technical debt, thei...
This repository contains the data and results from the paper "Code Smells Detection via Code Review:...
Code smells are symptoms of poor design or implementation choices that have a negative effect on sev...
This repository contains the datasets, obtained in 3 years, resulting from the Crowdsmelling methodo...
Background: Code smells are indicators of quality problems that make a software hard to maintain and...
Architectural smells (AS) are notorious for their long-term impact on the Maintainability and Evolva...
Raw data for the replication of the studies: [1] A. F. Yamashita, L. Moonen, Do developers care ab...
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