Micro Focus Lcc

Peter Thomas Blay

Alexander Hoole

James Wesley Rabon

Systems and methods are disclosed for configuring a testing device to only perform relevant tests, wherein the test results are more meaningful (e.g., few false-positives) and relevant to the application. Source code is analyzed to determine elements that indicate a particular environment for the source code's corresponding machine code. When the source code indicates that a particular environment is not a candidate for execution of the machine code, tests associated with that particular environment are excluded. The testing device is then configured to perform those tests that are relevant for those environments that actually apply.

Machine-based source code assessment

An input regarding security characteristics of a project is received. For example, a security characteristic of a project may be insecure storage of data related to confidentiality. The project is scanned for one or more security requirements based on the received security characteristics. A list of security requirements is built for the project based on the received first input. A machine learning process is used to identify addition of one or more security requirements and/or removal of one or more security requirements from the list of security requirements. A first security vulnerability scan is run using the list of security requirements with the one or more additional security requirements and/or the removed one or more security requirements. Results for the first security vulnerability scan are generated and displayed to a user.

Growing community of inventors

Santa Clara, CA, United States of America

Peter Thomas Blay