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Kaur, Parminder
- Research Gaps and Multidisciplinary Research Trends of SOA Quality Attributes
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1 Department of Computer Science, Guru Nanak Dev University, Amritsar, Punjab, IN
2 Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, IN
1 Department of Computer Science, Guru Nanak Dev University, Amritsar, Punjab, IN
2 Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, IN
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Research Cell: An International Journal of Engineering Sciences, Vol 22 (2016), Pagination: 763-768Abstract
The base architectural style of this service era is Service-Oriented Architecture (SOA), which leads to the development of an environment where heterogeneous distributed systems can communicate with each other by providing their application functionality as a service with features like high interoperability, loose coupling, low-cost, agility. It also promotes the rapid development and integration of legacy systems. The growing importance of this architectural style encourages the quality attribute concept for quality based service development and service management. As this technology is platform independent so industrialist and academicians are putting various efforts to grow the more interesting multidisciplinary solution to get the benefit of integration and interoperability feature of SOA. The main objective of this paper is to summarize the Research Gaps and discuss Multidisciplinary trends in SOA Quality Attributes.- Software Testing Using Artificial Intelligence : A State of Art
Abstract Views :150 |
PDF Views:0
Authors
Affiliations
1 Research Scholar, Department of Computer Science, Guru Nanak Dev University, Amritsar, IN
2 Associate Professor, Department of Computer Science, Guru Nanak Dev University, Amritsar, IN
1 Research Scholar, Department of Computer Science, Guru Nanak Dev University, Amritsar, IN
2 Associate Professor, Department of Computer Science, Guru Nanak Dev University, Amritsar, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 35, No SP (2023), Pagination: 34-43Abstract
Artificial Intelligence (AI) emerges as the latest technology across all software industries as well as domains. It is being leveraged in the field of software testing to ease the automation testing process and deliver more quality outcomes. The application of AI in software testing will make the entire testing process faster, clearer, easier, and within budget. This paper makes an effort to elaborate on the significance of performance testing in the field of software testing using AI. This paper represents a comprehensive review of AI/ML techniques in software testing.Keywords
Software Testing, Artificial Intelligence, Machine Learning, Black-Box Testing, Performance Testing.References
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