Abstract: Provided is a computer system to present information useful for achieving purposes related to an object by utilizing AI prediction. The computer system manages a prediction model for predicting an object event based on evaluation data and feature profiling database that defines a change rule of each of the plurality of feature values included in the evaluation data, generates change policy data by changing the plurality of feature values included in the evaluation data based on the feature profiling database, calculates an evaluation value indicating effectiveness of the change policy data, and generates display data for presenting the change policy data and the evaluation value as information useful for achieving purposes related to the object.

Abstract: Fairness of automated assessments of AI has become a significant issue in recent years, and techniques for adjusting assessment results are being sought. This information processing system is configured to include: a first predicting unit which outputs an assessed value from input information that does not include sensitive attribute information a user has decided is not to be input; a second predicting unit which has been trained in advance, using teacher data, to estimate the sensitive attribute information that the user has decided is not to be input, and which estimates the sensitive attribute information from the input information that does not include the sensitive attribute information; and a first quantizing unit which, on the basis of the estimated value of the sensitive attribute information obtained from the second predicting unit, adjusts the assessed value output by the first predicting unit, and outputs an assessment result.

Abstract: Provided is a computer system to present information useful for achieving purposes related to an object by utilizing AI prediction. The computer system manages a prediction model for predicting an object event based on evaluation data and feature profiling database that defines a change rule of each of the plurality of feature values included in the evaluation data, generates change policy data by changing the plurality of feature values included in the evaluation data based on the feature profiling database, calculates an evaluation value indicating effectiveness of the change policy data, and generates display data for presenting the change policy data and the evaluation value as information useful for achieving purposes related to the object.

Abstract: An analysis apparatus is connectable to a terminal capable of displaying web pages by accessing a web server capable of executing a web application. The analysis apparatus comprises a processor, a memory and an interface. The processor is configured to perform the following processing of: receiving at least one log concerning the web application stored in the terminal from the terminal via the interface; acquiring a plurality of kinds of use condition feature values based on the log received, the plurality of kinds of use condition feature values being information characterizing conditions of use of the web application; analyzing whether a correlation exists between a first kind of use condition feature values and a second kind of use condition feature values in the plurality of kinds of use condition feature values acquired in the processing of acquiring; and outputting an analysis result obtained by the processing of the analyzing.

Abstract: An analysis apparatus is connectable to a terminal capable of displaying web pages by accessing a web server capable of executing a web application. The analysis apparatus comprises a processor, a memory and an interface. The processor is configured to perform the following processing of: receiving at least one log concerning the web application stored in the terminal from the terminal via the interface; acquiring a plurality of kinds of use condition feature values based on the log received, the plurality of kinds of use condition feature values being information characterizing conditions of use of the web application; analyzing whether a correlation exists between a first kind of use condition feature values and a second kind of use condition feature values in the plurality of kinds of use condition feature values acquired in the processing of acquiring; and outputting an analysis result obtained by the processing of the analyzing.

Abstract: Collecting log data efficiently by controlling the capturing event for an operation log on the basis of application layer information. A web server generates a response including an operation log capturing script and the information from an operation log capturing control definition table and a property capturing definition table, and sends the response to a client. In the client, the received information is forwarded from a web browser module to a script engine module. An operation log capturing module sets the information acquisition event handler on the basis of the forwarded information, captures a sequential operation log on the basis of the operations performed by a user in the web browser, and sends the captured sequential operation log to a log server. A log server module collects sequential operation log in an operation log table, and a log analysis module analyzes the collected logs.

Abstract: Web browser operation is reproduced without a server being affected by the web operation. A web browser of a client receives a web page, executes an embedded browser-in-formation-acquiring function module and operation-log-acquiring function, generates a log of operations on the web page and application log of the result of executing an application code, and transmits the logs as a user log, together with information related to the web browser, to a content storage and reproduction server device. The content storage and reproduction server converts the received and gathered content and user log, and generates reproduction content and a reproduction user log for reproducing operation in the web browser of an external reproduction device. The content and user log are converted so that web operation can be safely and accurately reproduced with consideration given to the user environment and to the environment during reproduction when the web operation is reproduced.

Abstract: Collecting log data efficiently by controlling the capturing event for an operation log on the basis of application layer information. A web server generates a response including an operation log capturing script and the information from an operation log capturing control definition table and a property capturing definition table, and sends the response to a client. In the client, the received information is forwarded from a web browser module to a script engine module. An operation log capturing module sets the information acquisition event handler on the basis of the forwarded information, captures a sequential operation log on the basis of the operations performed by a user in the web browser, and sends the captured sequential operation log to a log server. A log server module collects sequential operation log in an operation log table, and a log analysis module analyzes the collected logs.

Abstract: To realize monitoring of an application program according to an application monitoring request described in highly abstract design information created in a development process of an application, program implementation must be understood, and work for converting the monitoring request into description of an implementation level must be carried out. Thus, it is impossible to readily execute the requested monitoring. A point of the design information is correlated with a point of a program code based on a correspondence among components of pieces of design information at respective stages in the application development process.