International Business Machines Corporation

Yan Yan Han

Jing James Xu

Xue Ying Zhang

Yuan Feng

Ling Zhuo

Yue Yang

Tao Wen

Pei Pei Liang

Yun Bo Zhang

Lin Yan Wu

Fei Fan

Su Li Hou

Tian Jiao Zhang

Yan Hao Zhang

Computer-implemented methods for a database schema relationship analysis system are disclosed herein. Aspects include receiving a table name associated with a modified table entity in a database of an application. Aspects further include generating an application documentation table association tree using data from application documentation of the application. Aspects also include generating a source code table association tree using a set of data from source code of the application. Aspects further include determining a similarity level by comparing the application documentation table association tree and the source code table association tree. Aspects include generating a message that includes a suggestion to modify a table entity associated with the modified table entity using data from the application documentation table association tree and the source code table association tree in response to determining that the similarity level is within a threshold value.

Database schema relationship analysis system

An approach is provided in which the approach captures a first user activity log of a first user accessing multiple systems and captures a set of second user activity logs of a set of second users accessing the multiple systems. The approach determines a set of system monitoring preferences based the first user activity log and the set of second user activity logs, and scores the multiple systems based on the set of system monitoring preferences. The approach generates a recommended system monitoring list based on the scored multiple systems, and transmits the recommended system monitoring list to the first user.

Recommend target systems for operator to attention in monitor tool

Aspects of the present disclosure relate to input text management. Input text can be received from a user. A set of key elements can be extracted from the input text. A determination can be made whether the user is mapped to an existing cluster. In response to determining that the user is mapped to an existing cluster, a structured table mapping key elements to text modifications can be referenced. The input text can be modified according to the structured table mapping key elements to text modifications, wherein the existing cluster is associated with a text modification scheme within the structured table, wherein the text modification scheme includes a first mapping of key elements to text modifications.

Input text management

Growing community of inventors

Xi'an, China

Yan Yan Han