Abstract: In some examples, a method for developing an application programming interface (API) is provided. The method is performed by a computing system running an API Forge Accelerator. The method comprising: receiving, by the API Forge Accelerator, a request for generating an API for a service based on a type of a first gateway, wherein the request indicates a selection of the first gateway among a plurality of gateways integrated with the API Forge Accelerator; generating, by the API Forge Accelerator, based on the specific gateway, a specification template corresponding to the specific gateway for generating the API, wherein the specification template indicates specification information that is used for the API generation; obtaining, by the API Forge Accelerator, based on the specification template, specification information from user input and API tools; and generating, by the API Forge Accelerator, based on the specification information, the API for the service.

Abstract: A system, computer-readable medium, and method for determining a potential drilling location, of which the method includes obtaining data representing a subterranean domain. The data includes at least seismic data. The method also includes inverting the seismic data, creating a petroleum systems model of the subterranean domain based at least in part on a result of inverting the seismic data, simulating a dynamic reservoir model of the subterranean domain based at least in part on the petroleum systems model, and identifying the potential drilling location based on a combination of the inverting of the seismic data, creating the petroleum systems model, and simulating the dynamic reservoir model.

Abstract: The present invention provides a n-tier architecture for a performance based testing tool and an associated method for trading and financial applications. The performance benchmarking tool of the present invention is configured to create multiple load generating clients, monitor and control it through a single agent process. The invention determines latencies of individual subsystems by subscribing to ticker plants and allows for online monitoring of latencies and controlling of multiple clients based on predefined message types.