Automatic capture of user interface screenshots for software product documentation

A system comprising:

• a processor communicatively coupled to a memory, the processor configured to:
• identify a user interface window of a software product;
• create a first degree-of-completion graph for the user interface window, wherein the first degree-of-completion graph includes two nodes representing each user interface control of the user interface window;
• capture a plurality of screenshots of the user interface window during use of a software product;
• calculate a degree-of-completion percentage for each of the plurality of screenshots, wherein the degree-of-completion percentage for each of the plurality of screenshots is calculated by inputting the first degree-of-completion graph into a three-layer graph convolutional network, wherein the degree-of-completion percentage calculated for each of the plurality of screenshots is based on embeddings representing a current degree-of-completion graph, a second degree-of-completion graph having each input-free node connected to a window node, and a third degree-of-completion graph having each input node belonging to all user interface controls connected to the window node;
• and
• identify a subset of the plurality of screenshots to be included in documentation of the software product based on the degree-of-completion percentage calculated for each of the plurality of screenshots.

A computer program product for automatically capturing user interface screenshots for use in software product documentation comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:

• identifying a user interface window of a software product;
• creating a first degree-of-completion graph for the user interface window, wherein the first degree-of-completion graph includes two nodes representing each user interface control of the user interface window;
• capturing a plurality of screenshots of the user interface window during use of the software product;
• calculating a degree-of-completion percentage for each of the plurality of screenshots, wherein the degree-of-completion percentage for each of the plurality of screenshots is calculated by inputting the first degree-of-completion graph into a three-layer graph convolutional network, wherein the degree-of-completion percentage calculated for each of the plurality of screenshots is based on embeddings representing a current degree-of-completion graph, a second degree-of-completion graph having each input-free node connected to a window node, and a third degree-of-completion graph having each input node belonging to all user interface controls connected to the window node;
• and
• identifying a subset of the plurality of screenshots to be included in the software product documentation based on the degree-of-completion percentage calculated for each of the plurality of screenshots.