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API - DOAJ

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Last Updated: 10 June 2022

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FFS Master Software for Fitness-For-Service assessment of hydrogen induced cracking equipment based on API 579-1/ASME FFS-1

"As such, conducting a Fitness For Service audit is recommended to make run-replace decisions of an in-service component that could be flawed or damaged. " According to the 3rd Edition of the API579-1/ASME FFS-1, the FFS Master ufffdFitness For Service evaluation software (FdFS) was developed in this report. This software is designed specifically for low-quality ferritic steel pressurized components with hydrogen induced cracking, allowing the user the ability to determine whether system components will continue to function in their current service condition.

Source link: https://doi.org/10.3221/IGF-ESIS.60.14


Malware detection framework based on graph variational autoencoder extracted embeddings from API-call graphs

"Malware compromises the confidentiality and integrity of the information that causes actual and moral harm to organizations or individuals. " To reduce the number of graph node features extracted from Android apk files, this research developed a malware detection scheme based on API-call graphs and used Graph Variational Autoencoder. To determine informative feature sets with the same dimensions as GVAE-reduced embeddings, the GVAE-reduced features, recursive feature removal, and Fisher score were used to validate the GVAE-reduced functionality. Compared to only GVAE-reduced embeddings, RFE selection and GVAE's strengths resulted in an increase in performance.

Source link: https://doi.org/10.7717/peerj-cs.988


RESTful API Testing Methodologies: Rationale, Challenges, and Solution Directions

"Many of the major industry platforms are now offering their support to end-users and other businesses as well. " Companies are designing ways to encourage other businesses to perform faster service integration and get on board quickly in the market. REST has emerged as the industry's accepted method for deploying and enjoying these services, which are also known as RESTful application programming interfaces. Any significant change in the APIs could result in the significant failure of service operations, which would cause an organization to face both financial and trust losses. Aims have been made to reduce testing difficulties by introducing new frameworks and auto-generating unit test methods. The aim of this article is to identify, analyze, and synthesize the research that has been conducted on RESTful APIs-u2019 testing methods and unit test generation. This SLR addresses and categorizes various issues and solutions related to RESTful APIs (u2019 testing and unit test generation).

Source link: https://doi.org/10.3390/app12094369

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions