US 11,455,571 B2Granted

Data structure tool

AssigneeBank of America Corporation

InventorsSandeep Kumar Chauhan, Srinivasa Rao Dakshinyam

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Abstract

An apparatus includes a database and a processor. The database stores a set of services, each of which produces outputs when provided inputs. The processor determines a machine learning policy that can be applied to a first service to determine a descriptor file assigned to the service. The first service can produce a first output when provided a first input. The descriptor file includes the first output type and the first input type. The processor applies the machine learning policy to the set of services to determine a set of descriptor files. The processor receives a request from a user for a second service that produces a second output given a second input. The processor then locates a second descriptor file that includes the second output type and the second input type, determines a third service assigned to the descriptor file, and sends the third service to the user.

Claims20

Dependent claims

An apparatus comprising:

a first database configured to store a set of services, each service of the set of services:
corresponding to at least one of a data structure and an application programming interface, the at least one of the data structure and the application programming interface comprising a source code file and a piece of metadata, the source code file and the piece of metadata defining a set of input parameters and a set of output parameters associated with the service;
and
configured to produce the set of output parameters in response to receiving the set of input parameters;
a second database;
a memory configured to store a machine learning algorithm trained, based on a subset of the set of services, to generate, when applied to a given service of the set of services, a descriptor file assigned to the given service, wherein:
applying the trained machine learning algorithm to the given service comprises:
determining, for each output parameter of the set of output parameters associated with the given service, an output parameter type assigned to the output parameter;
determining, for each input parameter of the set of input parameters associated with the given service, an input parameter type assigned to the input parameter;
and
the descriptor file comprises:
for each output parameter of the set of output parameters associated with the given service, the assigned output parameter type;
and
for each input parameter of the set of input parameters associated with the given service, the assigned input parameter type;
and
a hardware processor configured to:
apply the machine learning algorithm to the set of services to generate a set of descriptor files, each descriptor file of the set of descriptor files assigned to a service of the set of services;
store the set of descriptor files in the second database;
receive a request from a user seeking any service of the set of services that is configured to produce a particular output parameter assigned to a particular output type, given a particular input parameter assigned to a particular input type;
in response to receiving the request from the user:
locate a particular descriptor file of the set of descriptor files comprising the particular output type and the particular input type;
identify the service assigned to the particular descriptor file;
and
send the service assigned to the particular descriptor file to the user.

21 more elements

A method comprising:

training a machine learning algorithm, based on a first subset of a set of services, to generate, when applies to a given service of the set of services a descriptor file assigned to the given service, wherein:
each service of the set of services:
corresponds to at least one of a data structure and an application programming interface, the at least one of the data structure and the application programming interface comprising a source code file and a piece of metadata, the source code file and the piece of metadata defining a set of input parameters and a set of output parameters associated with the service;
and
is configured to produce the set of output parameters in response to receiving the set of input parameters;
applying the trained machine learning algorithm to the given service comprises:
determining, for each output parameter of the set of output parameters associated with the given service, an output parameter type assigned to the output parameter;
and
determining, for each input parameter of the set of input parameters associated with the given service, an input parameter type assigned to the input parameter;
and
the descriptor file comprises:
for each output parameter of the set of output parameters associated with the given service, the assigned output parameter type;
and
for each input parameter of the set of input parameters associated with the given service, the assigned input parameter type;
applying the machine learning algorithm to the set of services to generate a set of descriptor files, each descriptor file of the set of descriptor files assigned to a service of the set of services;
storing the set of descriptor files in a database;
receiving a request from a user seeking any service of the set of services that is configured to produce a particular output parameter assigned to a particular output type, given a particular input parameter assigned to a particular input type;
in response to receiving the request from the user:
locating a particular descriptor file of the set of descriptor files comprising the particular output type and the particular input type;
identifying the service assigned to the particular descriptor file;
and
sending the service assigned to the particular descriptor file to the user.

19 more elements

A system comprising:

a first storage element operable to store a set of services, each service of the set of services:
corresponding to at least one of a data structure and an application programming interface, the at least one of the data structure and the application programming interface comprising a source code file and a piece of metadata, the source code file and the piece of metadata defining a set of input parameters and a set of output parameters associated with the service;
and
configured to produce the set of output parameters in response to receiving the set of input parameters;
and
assigned to a producer;
a second storage element;
a memory element configured to store a machine learning algorithm trained, based on a subset of the set of services, to generate, when applied to a given service of the set of services, a descriptor file assigned to the given service, wherein:
applying the trained machine learning algorithm to the given service comprises:
determining, for each output parameter of the set of output parameters associated with the given service, an output parameter type assigned to the output parameter;
determining, for each input parameter of the set of input parameters associated with the given service, an input parameter type assigned to the input parameter;
and
the descriptor file comprises:
for each output parameter of the set of output parameters associated with the given service, the assigned output parameter type;
and
for each input parameter of the set of input parameters associated with the given service, the assigned input parameter type;
and
a processing element operable to:
apply the machine learning algorithm to the set of services to generate a set of descriptor files, each descriptor file of the set of descriptor files assigned to a service of the set of services;
store the set of descriptor files in the second storage element;
receive a request from a user seeking any service of the set of services that is configured to produce a particular output parameter assigned to a particular output type, given a particular input parameter assigned to a particular input type;
in response to receiving the request for the user:
locate a particular descriptor file of the set of descriptor files comprising the particular output type and the particular input type;
identify the service assigned to the particular descriptor file;
and
send the service assigned to the particular descriptor file to the user, wherein sending the service assigned to the particular descriptor file to the user comprises creating a contract between the user and a first producer assigned to the service assigned to the particular descriptor file.

23 more elements

Dependencies are inferred from the claim text.