Actionable code smell identification with fusion learning of metrics and semantics
D Yu, Q Yang, X Chen, J Chen, S Wang, Y Xu - Science of Computer …, 2024 - Elsevier
Code smell detection is one of the essential tasks in the field of software engineering.
Identifying whether a code snippet has a code smell is subjective and varies by …
Identifying whether a code snippet has a code smell is subjective and varies by …
Replication and Extension of Schnappinger's Study on Human-level Ordinal Maintainability Prediction Based on Static Code Metrics
S Bertrand, S Ciappelloni, PA Favier… - Proceedings of the 27th …, 2023 - dl.acm.org
As a part of a research project concerning software maintainability assessment in
collaboration with the development team, we wanted to explore dissensions between …
collaboration with the development team, we wanted to explore dissensions between …
[HTML][HTML] Analyzing static analysis metric trends towards early identification of non-maintainable software components
Nowadays, agile software development is considered a mainstream approach for software
with fast release cycles and frequent changes in requirements. Most of the time, high velocity …
with fast release cycles and frequent changes in requirements. Most of the time, high velocity …
A preliminary study on using text-and image-based machine learning to predict software maintainability
M Schnappinger, S Zachau, A Fietzke… - … Conference on Software …, 2022 - Springer
Abstract Machine learning has emerged as a useful tool to aid software quality control. It can
support identifying problematic code snippets or predicting maintenance efforts. The majority …
support identifying problematic code snippets or predicting maintenance efforts. The majority …
Building an Operable Graph Representation of a Java Program as a basis for automatic software maintainability analysis
As a part of a research project concerning software maintainability assessment in
collaboration with the development team, we were interested in the frequent use of metrics …
collaboration with the development team, we were interested in the frequent use of metrics …
Revisiting Inter-Class Maintainability Indicators
L Gregor, M Schnappinger… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Over the last few decades, a variety of static code metrics have been published and
promoted to measure the maintainability of software systems. This study evaluates 12 …
promoted to measure the maintainability of software systems. This study evaluates 12 …
A Preliminary Study on Using Text-and Image-Based Machine Learning to Predict Software Maintainability
A Pretschner - Software Quality: The Next Big Thing in Software …, 2022 - books.google.com
Machine learning has emerged as a useful tool to aid software quality control. It can support
identifying problematic code snippets or predicting maintenance efforts. The majority of …
identifying problematic code snippets or predicting maintenance efforts. The majority of …