Results 31 to 40 of about 161,467 (336)
Towards a catalog of aspect-oriented refactorings [PDF]
Comunicação aprovada à International Conference on Aspect-Oriented Software Development (AOSD), 4, Chicago, 2005.In this paper, we present a collection of aspect-oriented refactorings covering both the extraction of aspects from object-oriented legacy ...
Castelo Branco +3 more
core +3 more sources
Code smells as symptoms of poor design and implementation choices. Many times they are the result of so called technical debt. Our study showed that the interest in code smells research is increasing. However, most of the publications are appearing in conference proceedings. Most of the research is done in G7 and other highly developed countries.
Kokol, Peter +3 more
openaire +2 more sources
Code Smell Detection Using Ensemble Machine Learning Algorithms
Code smells are the result of not following software engineering principles during software development, especially in the design and coding phase. It leads to low maintainability.
Seema Dewangan +3 more
doaj +1 more source
A Domain Analysis to Specify Design Defects and Generate Detection Algorithms [PDF]
Quality experts often need to identify in software systems design defects, which are recurring design problems, that hinder development\ud and maintenance.
Duchien, Laurence +3 more
core +6 more sources
Detecting and managing code smells [PDF]
Code smells indicate the presence of quality problems that make the software hard to maintain and evolve. A software development team can keep their software maintainable by identifying smells and refactor them. In the first part of the session, we present a comprehensive overview of the literature concerning smells covering various dimensions of the ...
openaire +2 more sources
Can Public Code Smells Datasets Be Trusted?
Code smells signal potential issues in a codebase andindicate technical debt. Early detection is crucial for maintaining code quality. Researchers often rely on public datasets to automate and enhance smell detection, but their trustworthiness is ...
Ruchin Gupta +3 more
doaj +1 more source
Design and Implementation of a Web-Based Application for Code Smells Repository
Pitfalls in software development process can be prevented by learning from other people's mistakes. Software practitioners and researchers document lessons learned and the knowledge about best practices is spread over literature.
Lida Bamizadeh +3 more
doaj +1 more source
On the Feasibility of Transfer-learning Code Smells using Deep Learning
Context: A substantial amount of work has been done to detect smells in source code using metrics-based and heuristics-based methods. Machine learning methods have been recently applied to detect source code smells; however, the current practices are ...
Efstathiou, Vasiliki +3 more
core +1 more source
Detecting code smells in spreadsheet formulas
Spreadsheets are used extensively in business processes around the world and just like software, spreadsheets are changed throughout their lifetime causing maintainability issues. This paper adapts known code smells to spreadsheet formulas. To that end we present a list of metrics by which we can detect smelly formulas and a visualization technique to ...
Hermans, F. (author) +2 more
openaire +4 more sources
ANN Modelling on Vulnerabilities Detection in Code Smells-Associated Android Applications
There has been a lot of software design concerns in recent years that come under the code smell. Android Applications Developments experiences more security issues related to code smells that lead to vulnerabilities in software.
Gupta Aakanshi +2 more
doaj +1 more source

