This dataset contains all data and results from the "Can you tell me if it smells? A study on how developers discuss code smells and anti-patterns in Stack Overflow" paper that was accepted at the 22nd International Conference on Evaluation andAssessment in Software Engineering (EASE), Christchurch, New Zealand
Code smells are symptoms of poor design or implementation choices that have a negative effect on sev...
Context: Code smells are suboptimal design or implementation choices made by programmers during the ...
Context: Reusing a design pattern is not always in the favor of developers. Thus, the code starts sm...
Data and supplementary material for the article "A large scale study on how developers discuss ...
Raw data for the replication of the studies: [1] A. F. Yamashita, L. Moonen, Do developers care ab...
Context: Code smell is a term commonly used to describe potential problems in the design of software...
Code smells indicate the presence of quality problems that make the software hard to maintain and ev...
DESCRIPTION This dataset contains the structure, collected data and descriptive statistics of respo...
As a type of anti-pattern, test smells are defined as poorly designed tests and their presence may n...
Software development process involves developing, building and enhancing high-quality software for s...
Code smells are symptoms of poor design and implementation choices, which might hinder comprehension...
Pitfalls in software development process can be prevented by learning from other people's mistakes. ...
A.S.C. and G.d.F.C. together searched for eligible papers from the publication databases and read th...
Context: Code smells are associated to poor design and programming style, which often degrades code ...
Checklist and data extracted from publications analyzed for "Code Smells Detection Using Artificial ...
Code smells are symptoms of poor design or implementation choices that have a negative effect on sev...
Context: Code smells are suboptimal design or implementation choices made by programmers during the ...
Context: Reusing a design pattern is not always in the favor of developers. Thus, the code starts sm...
Data and supplementary material for the article "A large scale study on how developers discuss ...
Raw data for the replication of the studies: [1] A. F. Yamashita, L. Moonen, Do developers care ab...
Context: Code smell is a term commonly used to describe potential problems in the design of software...
Code smells indicate the presence of quality problems that make the software hard to maintain and ev...
DESCRIPTION This dataset contains the structure, collected data and descriptive statistics of respo...
As a type of anti-pattern, test smells are defined as poorly designed tests and their presence may n...
Software development process involves developing, building and enhancing high-quality software for s...
Code smells are symptoms of poor design and implementation choices, which might hinder comprehension...
Pitfalls in software development process can be prevented by learning from other people's mistakes. ...
A.S.C. and G.d.F.C. together searched for eligible papers from the publication databases and read th...
Context: Code smells are associated to poor design and programming style, which often degrades code ...
Checklist and data extracted from publications analyzed for "Code Smells Detection Using Artificial ...
Code smells are symptoms of poor design or implementation choices that have a negative effect on sev...
Context: Code smells are suboptimal design or implementation choices made by programmers during the ...
Context: Reusing a design pattern is not always in the favor of developers. Thus, the code starts sm...