An Efficient Method for Automatic Antipatterns Detection of REST Web Services

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@Article{Mohammadnia:2021:JWE,

• author = "Sobhan Mohammadnia and Rasool Esmaeilyfard and Reza Akbari",
• journal = "Journal of Web Engineering",
• title = "An Efficient Method for Automatic Antipatterns Detection of {REST} Web Services",
• year = "2021",
• volume = "20",
• number = "6",
• pages = "1761--1780",
• abstract = "REST Web Services is a lightweight, maintainable, and scalable service accelerating client application development. The antipatterns of these services are inadequate and counter-productive design solutions. They have caused many qualitative problems in the maintenance and evolution of REST web services. This paper proposes an automated approach toward antipattern detection of the REST web services using Genetic Programming (GP). Three sets of generic, REST-specific and code-level metrics are considered. Twelve types of antipatterns are examined. The results are compared with the manual rule-based approach. The statistical analysis indicates that the proposed method has an average precision and recall scores of 98percent (95percent CI, 92.8percent to 100percent) and 82percent (95percent CI, 79.3percent to 84.7percent) and effectively detects REST antipatterns.",
• keywords = "genetic algorithms, genetic programming, Measurement, Statistical analysis, Manuals, Quality of service, Maintenance engineering, Service-oriented architecture, REST, web services, anti-patterns detection, service-oriented architecture (SOA), quality of service (QoS)",
• DOI = "doi:10.13052/jwe1540-9589.2063",
• ISSN = "1544-5976",
• month = sep,
• notes = "Also known as \cite{10247161}",

}

Genetic Programming entries for Sobhan Mohammadnia Rasool Esmaeilyfard Reza Akbari

Citations