Automatically validating design parameters for enterprise applications
Methods, apparatus, and processor-readable storage media for automatically validating design parameters for enterprise applications are provided herein. An example computer-implemented method includes obtaining image data and code data of a given application associated with an enterprise; processing at least a portion of the image data against at least a portion of design parameters of the enterprise by processing the at least a portion of the image data and a set of design-compliant image data using similarity algorithms; processing at least a portion of the code data against at least a portion of the design parameters by performing an automated scan of the at least a portion of the code data against at least one code-related portion of the design parameters; and performing automated actions based on the processing of the image data and/or the processing of the code data.
1. A computer-implemented method comprising:
obtaining image data and code data of a given application associated with at least one enterprise;
processing at least a portion of the image data against at least a portion of one or more design parameters of the at least one enterprise by processing the at least a portion of the image data and at least one set of design-compliant image data using one or more similarity algorithms;
processing at least a portion of the code data against at least a portion of the one or more design parameters of the at least one enterprise by performing an automated scan of the at least a portion of the code data against at least one code-related portion of the one or more design parameters of the at least one enterprise; and
performing one or more automated actions based at least in part on one or more of the processing of the at least a portion of the image data and the processing of the at least a portion of the code data;
wherein the method is performed by at least one processing device comprising a processor coupled to a memory.
2. The computer-implemented method of claim 1 , wherein processing at least a portion of the image data comprises processing the at least a portion of the image data and at least one set of design-compliant image data using at least one structural similarity index algorithm.
3. The computer-implemented method of claim 1 , wherein the given application comprises a prospective version of the given application, and wherein processing at least a portion of the image data comprises processing the at least a portion of the image data of the prospective version of the given application and image data of an implemented product version of the given application using one or more similarity algorithms.
4. The computer-implemented method of claim 1 , wherein performing one or more automated actions comprises automatically training the one or more similarity algorithms, based at least in part on the processing of the at least a portion of the image data, to ignore one or more specified aspects of image data.
5. The computer-implemented method of claim 4 , wherein automatically training the one or more similarity algorithms comprises automatically training the one or more similarity algorithms to ignore at least one of one or more text differences in image data and one or more color differences in image data.
6. The computer-implemented method of claim 1 , wherein performing one or more automated actions comprises automatically carrying out one or more modifications to the given application based at least in part on one or more of the processing of the at least a portion of the image data and the processing of the at least a portion of the code data.
7. The computer-implemented method of claim 1 , wherein performing one or more automated actions comprises automatically outputting, to one or more application developers associated with the given application, one or more suggestions pertaining to one or more modifications to the given application.
8. The computer-implemented method of claim 1 , wherein processing the at least a portion of the image data and at least one set of design-compliant image data using one or more similarity algorithms comprises identifying one or more differences between the at least a portion of the image data and at least one set of design-compliant image data.
9. The computer-implemented method of claim 1 , wherein processing at least a portion of the image data comprises validating one or more components of the at least a portion of the image data, wherein the one or more components comprise at least one of iconography, one or more user interface components, user interface layout, one or more required links, and application version information.
10. The computer-implemented method of claim 1 , wherein processing at least a portion of the code data comprises validating one or more components of the at least a portion of the code data, wherein the one or more components comprise at least one of one or more approved color codes, one or more font families, license validation for one or more third party components, one or more modified components selected from a design kit, and one or more icon libraries.
11. A non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device:
to obtain image data and code data of a given application associated with at least one enterprise;
to process at least a portion of the image data against at least a portion of one or more design parameters of the at least one enterprise by processing the at least a portion of the image data and at least one set of design-compliant image data using one or more similarity algorithms;
to process at least a portion of the code data against at least a portion of the one or more design parameters of the at least one enterprise by performing an automated scan of the at least a portion of the code data against at least one code-related portion of the one or more design parameters of the at least one enterprise; and
to perform one or more automated actions based at least in part on one or more of the processing of the at least a portion of the image data and the processing of the at least a portion of the code data.
12. The non-transitory processor-readable storage medium of claim 11 , wherein processing at least a portion of the image data comprises processing the at least a portion of the image data and at least one set of design-compliant image data using at least one structural similarity index algorithm.
13. The non-transitory processor-readable storage medium of claim 11 , wherein the given application comprises a prospective version of the given application, and wherein processing at least a portion of the image data comprises processing the at least a portion of the image data of the prospective version of the given application and image data of an implemented product version of the given application using one or more similarity algorithms.
14. The non-transitory processor-readable storage medium of claim 11 , wherein performing one or more automated actions comprises automatically training the one or more similarity algorithms, based at least in part on the processing of the at least a portion of the image data, to ignore one or more specified aspects of image data.
15. The non-transitory processor-readable storage medium of claim 11 , wherein performing one or more automated actions comprises automatically carrying out one or more modifications to the given application based at least in part on one or more of the processing of the at least a portion of the image data and the processing of the at least a portion of the code data.
16. An apparatus comprising:
at least one processing device comprising a processor coupled to a memory;
the at least one processing device being configured:
to obtain image data and code data of a given application associated with at least one enterprise;
to process at least a portion of the image data against at least a portion of one or more design parameters of the at least one enterprise by processing the at least a portion of the image data and at least one set of design-compliant image data using one or more similarity algorithms;
to process at least a portion of the code data against at least a portion of the one or more design parameters of the at least one enterprise by performing an automated scan of the at least a portion of the code data against at least one code-related portion of the one or more design parameters of the at least one enterprise; and
to perform one or more automated actions based at least in part on one or more of the processing of the at least a portion of the image data and the processing of the at least a portion of the code data.
17. The apparatus of claim 16 , wherein processing at least a portion of the image data comprises processing the at least a portion of the image data and at least one set of design-compliant image data using at least one structural similarity index algorithm.
18. The apparatus of claim 16 , wherein the given application comprises a prospective version of the given application, and wherein processing at least a portion of the image data comprises processing the at least a portion of the image data of the prospective version of the given application and image data of an implemented product version of the given application using one or more similarity algorithms.
19. The apparatus of claim 16 , wherein performing one or more automated actions comprises automatically training the one or more similarity algorithms, based at least in part on the processing of the at least a portion of the image data, to ignore one or more specified aspects of image data.
20. The apparatus of claim 16 , wherein performing one or more automated actions comprises automatically carrying out one or more modifications to the given application based at least in part on one or more of the processing of the at least a portion of the image data and the processing of the at least a portion of the code data.