The Journal of Software engineering & Software Testing deals with the application of engineering to software that includes documenting the requirements of the software through application of basic design principles. The journal also emplasizes to analyze and design alternatives keeping in mind the utility of the finished product and whether the final product meets its requirements. At the same The journal also emphasizes on the safety, reliability, cost-affectivity and functional aspects of the software.
Some of the topics covered under this journal (but not limited to them) are:
- Mathematics
- Chemistry
- Basic Engineering
- Computer Literacy
- Physics Laboratory
- Engineering Graphics
- Biology for Engineering
- Principles of Environmental Science
- Material Science
- Digital Computer Fundamentals
- Computer Organization and Architecture
- Data Structures and Algorithms
- Software Engineering Principles
- Object Oriented Programming
- Microprocessors
- Software Design
- Computer Skills
- Discrete Mathematics
- Computer Networks
- Industrial management and economics
- Software quality management
- Web technology
Vol 9, No 2 (2024): Impact of Artificial Intelligence on Software Testing
Authors: Meena Rao, Sandeep Yadav
Abstract: Artificial Intelligence (AI) is revolutionizing software testing by introducing intelligent techniques for test case generation, defect prediction, and test automation. This paper investigates the impact of AI on software testing practices. AI-based testing tools leverage machine learning algorithms to identify patterns, predict defects, and optimize testing processes. The paper discusses various AI applications in software testing, such as natural language processing for test case design, reinforcement learning for automated test execution, and predictive analytics for defect management. The challenges of adopting AI in testing, including data quality, algorithm transparency, and integration with existing tools, are also addressed. The paper concludes with a vision for the future of AI in software testing
Keywords: Artificial Intelligence, Software Testing, Machine Learning, Defect Prediction, Test Automation
Full Issue
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