Apismarket

A comprehensive dataset and analysis of the API Management Focus Area Maturity Model (API-m-FAMM), detailing 80 practices and 20 capabilities across 6 focus areas for structured API governance.

APIRO is a learning-based framework for automated security tool API recommendation in SOAR platforms, addressing data heterogeneity and semantic variation challenges with 91.9% Top-1 Accuracy.

An empirical study comparing 10 state-of-the-art REST API testing tools on 20 real-world services, analyzing code coverage and failure detection capabilities.

Analysis of REST-ler, the first automatic intelligent REST API security testing tool that uses Swagger specifications and dynamic feedback to find vulnerabilities in cloud services.

Analysis of COLA, a novel autoscaler for microservice applications that optimizes VM allocation globally to minimize cost while meeting end-to-end latency targets.

Research auditing five commercial content moderation APIs, revealing systematic biases in over- and under-moderation of hate speech targeting specific social groups.

A novel early detection method for cryptomining malware using API embedding based on category and DLL (AECD) with TextCNN, achieving high accuracy with limited initial API sequences.

Comprehensive analysis of deep learning methodologies for image processing, including GAN architectures, mathematical foundations, experimental results, and future applications.

Analysis of API security challenges in enterprise environments, GDPR compliance requirements, and the integration of Machine Learning for automated threat detection and privacy protection.

Analysis of API-driven digital transformation, proposing a framework for enterprise API adoption, governance, and economic benefits in the VUCA era.

Analysis of API proliferation, its role in digital transformation, and a proposed framework for organizations to successfully transition towards an API-driven business model.

Comparative study of Levenshtein, Jaro, and Jaro-Winkler metrics for building syntactic Web Services composition networks, analyzing topological properties and performance.

A research paper presenting a provably correct, linear-time static analysis for estimating GraphQL query cost to prevent DoS attacks and manage API resources.

A novel system integrating LLMs for classifying natural language inputs into API calls and generating synthetic datasets for systematic model evaluation.

A comprehensive comparison of Google Maps, ArcGIS, and OpenLayers JavaScript APIs focusing on usability metrics, implementation complexity, and developer productivity.

An analysis of microservices architecture based on an IEEE Software podcast transcript, covering definitions, motivations, adoption patterns, and practical considerations.

Analysis of database usage patterns in microservices architectures based on an empirical study of 1,000 GitHub projects over 15 years.

An analysis of microservice granularity's impact on application latency, comparing single vs. multi-container deployments in cloud and IoT contexts.

A research paper proposing the use of Grid Search and Random Search for automated runtime optimization of microservices configuration, achieving up to 10.56% latency improvement.

A systematic mapping study analyzing security threats and mechanisms in microservice architectures, identifying research gaps and proposing a lightweight ontology for security patterns.

Analysis of Autotest Assist, a random test generator for API testing, covering its methodology, challenges, and integration with directed testing suites in the API economy.

Research on standardizing RESTful northbound interfaces for software-defined networking controllers to enable application portability and controller interoperability.

A lightweight approach using schema.org actions to annotate Web APIs for automated service consumption by intelligent agents, addressing adoption challenges in semantic web services.

Comprehensive analysis of semantic web service approaches including top-down, bottom-up, and RESTful methodologies with technical comparisons and future directions.

This paper proposes a network-based model for Web service substitution, using similarity measures on operation parameters to create substitutability networks, enabling detailed analysis.

APIphany: A component-based synthesizer for RESTful API programs using semantic types, type inference, data wrangling, and simulated execution.

A research paper proposing a mediator-based solution for synchronizing Web Services affected by schema changes in underlying information sources, with a healthcare case study.

A white paper analyzing the risks of standing permissions in cloud data security and proposing an innovative Zero-Trust Data Enclave architecture for Just-in-Time, granular data access.