Clustering methodologies for software engineering
The size and complexity of industrial strength software systems are constantly increasing.
This means that the task of managing a large software project is becoming even more …
This means that the task of managing a large software project is becoming even more …
A comparative analysis of software architecture recovery techniques
Many automated techniques of varying accuracy have been developed to help recover the
architecture of a software system from its implementation. However, rigorously assessing …
architecture of a software system from its implementation. However, rigorously assessing …
Systematic review on next-generation web-based software architecture clustering models
T Yang, Z Jiang, Y Shang, M Norouzi - Computer Communications, 2021 - Elsevier
Software architecture is the heart of web-based software systems determining its
components and their connections. These days, fast release and quick delivery of next …
components and their connections. These days, fast release and quick delivery of next …
{VulSim}: Leveraging Similarity of {Multi-Dimensional} Neighbor Embeddings for Vulnerability Detection
Despite decades of research in vulnerability detection, vulnerabilities in source code remain
a growing problem, and more effective techniques are needed in this domain. To enhance …
a growing problem, and more effective techniques are needed in this domain. To enhance …
Anghabench: A suite with one million compilable c benchmarks for code-size reduction
AF Da Silva, BC Kind… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
A predictive compiler uses properties of a program to decide how to optimize it. The compiler
is trained on a collection of programs to derive a model which determines its actions in face …
is trained on a collection of programs to derive a model which determines its actions in face …
Cooperative clustering for software modularization
Clustering is a useful technique to group data entities. Many different algorithms have been
proposed for software clustering. To combine the strengths of various algorithms …
proposed for software clustering. To combine the strengths of various algorithms …
Constructing a shared infrastructure for software architecture analysis and maintenance
Over the past three decades software engineering researchers have produced a wide range
of techniques and tools for understanding the architectures of large, complex systems …
of techniques and tools for understanding the architectures of large, complex systems …
The modular and feature toggle architectures of Google Chrome
Software features often span multiple directories and conceptual modules making the
extraction of feature architectures difficult. In this work, we extract a feature toggle …
extraction of feature architectures difficult. In this work, we extract a feature toggle …
Semantic-based software clustering using hill climbing
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 …