Reviewing Software Testing Models and Optimization Techniques: An Analysis of Efficiency and Advancement Needs

Sarvesh Kumar

doi:10.57159/gadl.jcmm.2.1.23041

Authors

Sarvesh Kumar Department of Computer Science Engineering, Babu Banarasi Das University, Lucknow, Uttar Pradesh, India 226028

DOI:

https://doi.org/10.57159/gadl.jcmm.2.1.23041

Keywords:

Software testing, Optimization techniques, Performance analysis, Test cases

Abstract

Software testing is a crucial component of software engineering that aims to confirm the intended functionality of software modules and minimize the likelihood of future failures. This paper provides a comprehensive review of various software testing models and optimization techniques available in the literature, emphasizing their performance analysis and related research papers. The paper analyzes and discusses the most commonly used software testing models, including waterfall, incremental, V-model, agile, and spiral models, and identifies several areas for improvement to increase their effectiveness. These areas include using machine learning techniques to automate and optimize testing processes, reducing the number of test cases required, and introducing new metrics to gauge the success of testing.

Moreover, the paper suggests developing entirely novel methods to deal with the challenges of contemporary software programs, such as the Internet of Things and artificial intelligence. This paper aims to analyze various software testing models and optimization techniques thoroughly, highlight their advantages and disadvantages, and suggest improvements to increase their efficiency and effectiveness. By continuously improving and optimizing software testing processes, software modules can function as intended, minimizing the likelihood of future failures.

Author Biography

Sarvesh Kumar, Department of Computer Science Engineering, Babu Banarasi Das University, Lucknow, Uttar Pradesh, India 226028

Mr. Sarvesh Kumar is an accomplished Assistant Professor at Babu Banarasi Das University, Lucknow, India, with over 9 years of experience in research, teaching, and administration. He obtained his Bachelor's degree in technology from Uttar Pradesh Technical University, Lucknow, and completed his Master's degree in technology from Lovely Professional University, Punjab. Kumar is a qualified GATE candidate and a member of prestigious international bodies such as IEEE and CSI. He has published more than 40 research papers, 05 patents, and multiple book chapters in the field of Computer Science and Engineering. In addition, he has served as an editor and reviewer for several international journals and has been awarded the National Young Eminent Researcher Award in 2020. Currently, Kumar is actively involved in reviewing international conferences and is a reviewer for CRC and IGI Global. His research areas primarily focus on Cloud Computing and Security, making him a valuable asset in the field of technology.

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