Automated API Testing

Prerna Sanjay Wavhule; Rutuja Vasant Nagarkar; Bhushan Bharat Johare

Automated API Testing

June 2023

Vol-9, Issue-3

Paper ID: 20924

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science

Keywords

Automated testing API testing Software testing Test automation Test frameworks Test scripts Continuous integration DevOps Quality assurance Test-driven development Agile methodologies RESTful APIs Web services Performance testing Security testing Scalability testing Test coverage Regression testing Test suites Test case generation Mocking and stubbing Assertion frameworks Code analysis Fault injection Test data generation

Abstract

As the reliance on Application Programming Interfaces (APIs) continues to grow, ensuring the reliability and functionality of these interfaces becomes increasingly crucial. Manual API testing is often time-consuming, error-prone, and insufficient to cope with the complexity and scale of modern API ecosystems. To address these challenges, automated API testing has emerged as an effective approach for validating the behavior and performance of APIs. This research paper presents a comprehensive analysis and evaluation of automated API testing techniques, aiming to provide researchers and practitioners with a systematic understanding of the current state-of-the-art in this field. The paper examines various automated testing methodologies, frameworks, and tools developed for API testing, highlighting their strengths, limitations, and practical considerations. The research paper begins by discussing the fundamental concepts and importance of API testing. It explores different testing dimensions, including functional testing, security testing, performance testing, and compatibility testing. Subsequently, a comprehensive review of existing automated API testing techniques is presented, categorized into static analysis, dynamic analysis, and hybrid analysis approaches. Each approach is thoroughly examined, considering its underlying principles, strengths, limitations, and real-world applications. Furthermore, the research paper conducts a comparative evaluation of selected automated API testing tools and frameworks, assessing their effectiveness, scalability, extensibility, and ease of use. The evaluation is based on a set of predefined criteria, including test coverage, test generation capabilities, support for various protocols and formats, reporting capabilities, and integration with continuous integration/continuous deployment (CI/CD) pipelines. To validate the effectiveness of automated API testing, the paper also presents a case study in which a real-world API ecosystem is subjected to rigorous testing using selected automated testing techniques. The outcomes of the case study demonstrate the improved efficiency, reliability, and test coverage achieved through automated API testing compared to manual approaches. In conclusion, this research paper provides a comprehensive overview of automated API testing, offering insights into the current state-of-the-art techniques and tools. It serves as a valuable resource for researchers, software developers, and quality assurance professionals seeking to enhance their understanding of automated API testing and improve the robustness and resilience of their API-based systems.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Prerna Sanjay Wavhule	ASM Institute of Management & Computer Studies
2	Rutuja Vasant Nagarkar	ASM Institute of Management & Computer Studies
3	Bhushan Bharat Johare	ASM Institute of Management & Computer Studies

How to Cite

Use the following formats to cite this article in your research.

APA Style

Wavhule, Prerna Sanjay, Nagarkar, Rutuja Vasant, & Johare, Bhushan Bharat (2023). Automated API Testing. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 4722-4728.

MLA Style

Wavhule, Prerna Sanjay, et al. "Automated API Testing." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 4722-4728.

IEEE Style

Prerna Sanjay Wavhule, Rutuja Vasant Nagarkar, and Bhushan Bharat Johare, "Automated API Testing," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 4722-4728, 2023.

Vancouver Style

Wavhule Prerna Sanjay, Nagarkar Rutuja Vasant, Johare Bhushan Bharat. Automated API Testing. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):4722-4728.

Harvard Style

Wavhule, Prerna Sanjay, Nagarkar, Rutuja Vasant, & Johare, Bhushan Bharat (2023) 'Automated API Testing', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 4722-4728.

Chicago Style

Wavhule, Prerna Sanjay, Rutuja Vasant Nagarkar, and Bhushan Bharat Johare. "Automated API Testing." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 4722-4728.

Turabian Style

Wavhule, Prerna Sanjay, Rutuja Vasant Nagarkar, and Bhushan Bharat Johare. "Automated API Testing." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 4722-4728.