Results 291 to 300 of about 161,467 (336)
Some of the next articles are maybe not open access.

Developer-Driven Code Smell Prioritization

Proceedings of the 17th International Conference on Mining Software Repositories, 2020
Code smells are symptoms of poor implementation choices applied during software evolution. While previous research has devoted effort in the definition of automated solutions to detect them, still little is known on how to support developers when prioritizing them.
Pecorelli F.   +3 more
openaire   +2 more sources

How do community smells influence code smells?

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018
Code smells reflect sub-optimal patterns of code that often lead to critical software flaws or failure. In the same way, community smells reflect sub-optimal organisational and socio-Technical patterns in the organisational structure of the software community. To understand the relation between the community smells and code smells we start by surveying
Palomba, F. (author)   +5 more
openaire   +3 more sources

Code Smells Revisited

Proceedings of the Ninth International Workshop on Variability Modelling of Software-intensive Systems, 2015
Highly-configurable software systems (also called software product lines) gain momentum in both, academia and industry. For instance, the Linux kernel comes with over 12 000 configuration options and thus, can be customized to run on nearly every kind of system.
Wolfram Fenske, Sandro Schulze
openaire   +1 more source

On Investigating Code Smells Correlations

2011 IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops, 2011
Code smells are characteristics of the software that may indicate a code or design problem that can make software hard to evolve and maintain. Detecting and removing code smells, when necessary, improves the quality and maintainability of a system.
ARCELLI FONTANA, FRANCESCA   +1 more
openaire   +2 more sources

Code Smell Detecting Tool and Code Smell-Structure Bug Relationship

2012 Spring Congress on Engineering and Technology, 2012
This paper proposes an approach for detecting the so- called bad smells in software known as Code Smell. In considering software bad smells, object-oriented software metrics were used to detect the source code whereby Eclipse Plugins were developed for detecting in which location of Java source code the bad smell appeared so that software refactoring ...
Phongphan Danphitsanuphan   +1 more
openaire   +1 more source

Understanding the Evolution of Code Smells by Observing Code Smell Clusters

2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2016
Code smells are more likely to stay inter-connectedin software rather than remaining as a single instance. Thesecode smell clusters create maintainability issues in evolvingsoftware. This paper aims to understand the evolution of thecode smells in software, by analyzing the behavior of theseclusters such as size, number and connectivity.
Ahmad Tahmid, Nadia Nahar, Kazi Sakib
openaire   +1 more source

Code Smells in Infrastructure as Code

2018 11th International Conference on the Quality of Information and Communications Technology (QUATIC), 2018
Ensuring high quality in software systems is a wellknown and big challenge. Infrastructure as Code (IaC) gathered increasing popularity in recent years, but there is only little research done in terms of quality of this code. Like with programming languages we find a high diversity of languages and technologies. Existing research introduced code smells
Julian Schwarz   +2 more
openaire   +1 more source

Automated Microservice Code-Smell Detection

2021
Microservice Architecture (MSA) is rapidly taking over modern software engineering and becoming the predominant architecture of new cloud-based applications (apps). There are many advantages to using MSA, but there are many downsides to using a more complex architecture than a typical monolithic enterprise app.
Andrew Walker, Dipta Das, Tomas Cerny
openaire   +2 more sources

JSNOSE: Detecting JavaScript Code Smells

2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2013
JavaScript is a powerful and flexible prototype-based scripting language that is increasingly used by developers to create interactive web applications. The language is interpreted, dynamic, weakly-typed, and has first-class functions. In addition, it interacts with other web languages such as CSS and HTML at runtime.
Amin Milani Fard, Ali Mesbah
openaire   +1 more source

Home - About - Disclaimer - Privacy