STAKEHOLDER LIST IDENTIFICATION
Examples include stakeholder list identification. Some examples include a machine-readable storage medium with instructions executable by a processing resource of a device to identify a stakeholder list associated with a segment of an application. The machine-readable storage medium comprises instructions to receive a request to identify the stakeholder list associated with the segment of the application. The machine-readable storage medium further comprises instructions to scan an audit trail associated with the segment of the application and identify, via a machine-learning technique, the stakeholder list based on the audit trail.
1 . A machine-readable storage medium encoded with instructions executable by a processing resource of a device to identify a stakeholder list associated with a segment of an application, the machine-readable storage medium comprising instructions to:
receive a request to identify the stakeholder list associated with the segment of the application;
scan an audit trail associated with the segment of the application; and
identify, via a machine-learning technique, the stakeholder list based on the audit trail.
2 . The machine-readable storage medium of claim 1 , wherein the machine-readable storage medium further comprises instructions to:
scan metadata associated with the segment of the application.
3 . The machine-readable storage medium of claim 2 , wherein the instructions to scan the metadata further comprise instructions to:
identify a set of views associated with the segment of the application;
identify a time associated with each view of the set of views; and
index the metadata based on the set of views.
4 . The machine-readable storage medium of claim 2 , wherein the instructions to identify the stakeholder list further comprise instructions to:
identify the stakeholder list based on the metadata.
5 . The machine-readable storage medium of claim 1 , wherein the instructions to scan the audit trail further comprise instructions to:
identify a set of user actions associated with the segment of the application;
identify a time associated with each user action of the set of user actions; and
index the audit trail based on the set of user actions or the time.
6 . The machine-readable storage medium of claim 5 , wherein the machine-learning technique identifies the stakeholder list as a function of the set of user actions and the time associated with each user action of the set of user actions.
7 . The machine-readable storage medium of claim 1 , wherein the instructions to identify the stakeholder list further comprise instructions to:
identify a role of each stakeholder in the stakeholder list.
8 . The machine-readable storage medium of claim 1 , wherein the segment of the application is a feature, an entity, or an area of the application.
9 . A device to identify a stakeholder list associated with a segment of an application comprising:
a processing resource; and
a machine-readable storage medium encoded with instructions executable by the processing resource, the machine-readable storage medium comprising instructions to:
receive a request to identify the stakeholder list associated with the segment of the application;
scan an audit trail associated with the segment of the application;
scan metadata associated with the segment of the application; and
identify, via a machine-learning technique, the stakeholder list based on the audit trail and the metadata.
10 . The computing device of claim 9 , wherein the instructions to scan the audit trail further comprise instructions to:
identify a set of user actions associated with the segment of the application;
identify a type of user action for each user action of the set of user actions;
identify a time associated with each user action of the set of user actions; and
index the audit trail based on the set of user actions, the type of user action, or the time.
11 . The computing device of claim 10 , wherein the instructions to scan the metadata further comprise instructions to:
identify a set of views associated with the segment of the application;
identify a time associated with each view of the set of views; and
index the metadata based on the set of views or the time.
12 . The computing device of claim 11 , wherein the instructions to identify the stakeholder list comprise instructions to:
assign a weight to each user action of the set of user actions based on the time and the type of user action;
assign a weight to each view of the set of views based on the time; and
determine an order of each stakeholder in the stakeholder list as a function of the assigned weight of each user action and the assigned weight of each view.
13 . The computing device of claim 11 , wherein the instructions to identify the stakeholder list further comprise instructions to:
identify a role of each stakeholder in the stakeholder list based on the set of user actions and the set of views.
14 . The computing device of claim 9 , wherein the segment of the application is a feature, an entity, or an area of the application.
15 . A method of identifying a stakeholder list associated with a segment of an application, the method comprising:
receiving a request to identify the stakeholder list associated with the segment of the application, wherein the segment is a feature, an entity, or an area of the application;
scanning, by a processing resource, an audit trail associated with the segment of the application;
scanning, by the processing resource, metadata associated with the segment of the application; and
identifying, by the processing resource and via a machine-learning technique, the stakeholder list based on the audit trail and the metadata.
16 . The method of claim 15 , wherein scanning the audit trail further comprises:
identifying a set of user actions associated with the segment of the application;
identifying a type of user action for each user action of the set of user actions;
identifying a time associated with each user action of the set of user actions; and
indexing the audit trail based on the set of user actions, the type, or the time.
17 . The method of claim 16 , wherein scanning the metadata further comprises:
identifying a set of views associated with the segment of the application;
identifying a time associated with each view of the set of views; and
indexing the metadata based on the set of views.
18 . The method of claim 17 , wherein identifying the stakeholder list comprises:
assigning a weight to each user action of the set of user actions based on the time of the user action;
assigning a weight to each view of the set of views based on the time of the view; and
determining an order of each stakeholder in the stakeholder list as a function of the assigned weight of each user action and the assigned weight of each view.
19 . The method of claim 17 , wherein identifying the stakeholder list further comprises identifying a role of each stakeholder in the stakeholder list based on the set of user actions and the set of views.
20 . The method of claim 19 , wherein the machine-learning technique determines a likelihood that a stakeholder has a role based on a set of rules associated with the role, identifies as the role of the stakeholder the role that has a maximal likelihood, and adjusts the set of rules associated with the role in response to feedback as to the correctness of the role.