Enhancing The Opcode Parsing Approach for Automated Unit Test Generation
Abstract views: 0 / PDF downloads: 0
DOI:
https://doi.org/10.70447/ktve.2301Keywords:
The Opcode Parsing Method, Unit Test Generation, Bytecode, Java Agent, Software TestingAbstract
In software development processes, accuracy and reliability are directly associated with the effective creation of unit tests. In this context, the production of unit tests and software testing processes have become a significant focal point for developers and software engineers. This study examines the developments in automated unit test generation processes, focusing on the integration of the developed Opcode parsing method with Java Agent technology, and evaluates the potential impacts of this integration in the field of software testing. By analyzing opcodes at the Java bytecode level and leveraging the dynamic code manipulation capabilities of Java Agents, the aim is to generate automated test scenarios. This method aims to enhance test coverage in software development processes, improve code quality, and ensure software accuracy. Additionally, the study assesses the practical applicability of this technical integration by supporting it with experimental data, highlighting the impact of merging Java Agent technology with opcode analysis in the process of automated unit test generation. The results underscore the potential of Java Agents combined with opcode analysis in automating the test generation process, offering a significant contribution to the field of software engineering.
Downloads
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2024 Sevdanur GENÇ
This work is licensed under a Creative Commons Attribution 4.0 International License.
Key Points of CC BY 4.0
- Attribution Requirement: Others can share, adapt, and use the work, even commercially, as long as they credit the original author(s) and the journal (JQTAIR) as the source.
- Flexibility in Usage: This license maximizes dissemination, as anyone can use the research in new projects, derivative works, or even commercial applications.
- Global and Broad: The 4.0 version is legally global, compatible with other open-access content, and widely accepted by institutions and funders worldwide.
- Freedom to Remix and Adapt: Researchers, educators, and industry professionals can freely build upon the work, encouraging collaboration and innovative uses in various fields.
Attribution Requirement for Users
To comply with CC BY 4.0, anyone who uses, shares, or builds upon the journal’s work must include:
- The title of the work.
- A link to the full text (ideally hosted on JQTAIR’s site or repository).
- Credit to the original authors and the journal (e.g., “Published by JQTAIR” or “Original work by [Author Name], published in JQTAIR”).