Mopisde: A collaborative multi-objective information-sharing de algorithm for software clustering
Y Kang, W Xie, X Wang, H Wang, X Wang… - Expert Systems with …, 2023 - Elsevier
The software module clustering problem (SMCP) aims to improve the internal quality of
software while helping software engineers understand the system architecture and …
software while helping software engineers understand the system architecture and …
A graph-based clustering algorithm for software systems modularization
Context: Clustering algorithms, as a modularization technique, are used to modularize a
program aiming to understand large software systems as well as software refactoring. These …
program aiming to understand large software systems as well as software refactoring. These …
A multi-criteria strategy for redesigning legacy features as microservices: An industrial case study
Microservices are small and autonomous services that communicate through lightweight
protocols. Companies have often been adopting microservices to incrementally redesign …
protocols. Companies have often been adopting microservices to incrementally redesign …
A fast clustering algorithm for modularization of large-scale software systems
N Teymourian, H Izadkhah… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A software system evolves over time in order to meet the needs of users. Understanding a
program is the most important step to apply new requirements. Clustering techniques …
program is the most important step to apply new requirements. Clustering techniques …
Multi-objective search-based software modularization: structural and non-structural features
N Sadat Jalali, H Izadkhah, S Lotfi - Soft Computing, 2019 - Springer
Software modularization techniques are employed to understand a software system. The
purpose of modularization is to decompose a software system from a source code into …
purpose of modularization is to decompose a software system from a source code into …
Multi-programming language software systems modularization
A software system evolves over time to meet the user's new requirements as well as to adapt
to the environment. This causes it deviates from its original and documented structure …
to the environment. This causes it deviates from its original and documented structure …
Sahand 1.0: A new model for extracting information from source code in object-oriented projects
GNH Irani, H Izadkhah - Computer Standards & Interfaces, 2024 - Elsevier
Providing models that enable developers, architects, and executives to make intelligent
decisions about software projects is imperative. Static analyzer tools can extract the …
decisions about software projects is imperative. Static analyzer tools can extract the …
Revisiting test impact analysis in continuous testing from the perspective of code dependencies
In continuous testing, developers execute automated test cases once or even several times
per day to ensure the quality of the integrated code. Although continuous testing helps …
per day to ensure the quality of the integrated code. Although continuous testing helps …
GUI-based software modularization through module clustering in edge computing based IoT environments
With edge computing-based Internet-of-Things environments widely recognized, major
software technologies are rapidly integrated. Among the various areas of such technologies …
software technologies are rapidly integrated. Among the various areas of such technologies …
Semantic-based software clustering using hill climbing
M Kargar, A Isazadeh… - … international symposium on …, 2017 - ieeexplore.ieee.org
Clustering techniques are used for extracting software architecture in reverse engineering
process. Extracting the Call Dependency Graph (CDG) from the source code is the first step …
process. Extracting the Call Dependency Graph (CDG) from the source code is the first step …