Abstract: Computer software development has produced many advances within computer science and in most aspects of modern society. Even with modern quality control, bug finding, and other code checking applications, computer software is often less than ideal. A developer may write code that is functionally accurate but lacks security, documentation, speed, storage, reusability, or other element that may make a segment of software code less than ideal. Identifying equivalent code, within a defined hypothesis strength and/or resource limitation, and, when found, replacing it with a vetted equivalent promotes the deployment of software that is more robust, secure, usable and reusable, and/or satisfies performance or other objectives.

Abstract: Computer software development has produced many advances within computer science and in most aspects of modern society. Even with modern quality control, bug finding, and other code checking applications, computer software is often less than ideal. A developer may write code that is functionally accurate but lacks security, documentation, speed, storage, reusability, and/or other elements that may make a segment of software code less than ideal. Identifying equivalent code, within a defined hypothesis strength and/or resource limitation, and, when found, replacing it with a vetted equivalent promotes the deployment of software that is more robust, secure, usable and reusable, and/or satisfies performance or other objectives.

Abstract: Computer software development has produced many advances within computer science and in most aspects of modern society. Even with modern quality control, bug finding, and other code checking applications, computer software is often less than ideal. A developer may write code that is functionally accurate but lacks security, documentation, speed, storage, reusability, or other element that may make a segment of software code less than ideal. Identifying equivalent code and, when found, replacing it with a vetted equivalent promotes the deployment of software that is more robust, secure, usable and reusable, and/or satisfies performance or other objectives.

Abstract: Computer source code maintenance represents a significant aspect of computer systems. Code that was developed for one platform, in one language, may require a significant investment in human effort to port such code to another platform or language. Converting source code to a language-agnostic source code allows a user to view the interaction of various portions of the source code in a unified view. Additionally, the language-agnostic source code may be automatically regenerated by a processor to a different platform or language. As a further benefit, documentation, standards-compliance, security, and/or other non-functional requirements may be provided to further enhance the utility of the original source code.

Abstract: Computer software development has produced many advances within computer science and in most aspects of modern society. Even with modern quality control, bug finding, and other code checking applications, computer software is often less than ideal. A developer may write code that is functionally accurate but lacks security, documentation, speed, storage, reusability, or other element that may make a segment of software code less than ideal. Identifying equivalent code and, when found, replacing it with a vetted equivalent promotes the deployment of software that is more robust, secure, usable and reusable, and/or satisfies performance or other objectives.

Abstract: Computer software development has produced many advances within computer science and in most aspects of modern society. Even with modern quality control, bug finding, and other code checking applications, computer software is often less than ideal. A developer may write code that is functionally accurate but lacks security, documentation, speed, storage, reusability, or other element that may make a segment of software code less than ideal. Identifying equivalent code and, when found, replacing it with a vetted equivalent promotes the deployment of software that is more robust, secure, usable and reusable, and/or satisfies performance or other objectives.

Abstract: Tools that provide quality assurance to improve the efficiency of developing software using a Finite Input Output Semantic Model (FIOSM, or herein referred to as a Semantic Model (SM) or Semantic Model Program) and automated reasoning services compatible with a semantic model. Exemplary embodiments of the tools allow a user to validate a semantic model and its related source software system and executable, while providing the enormous benefit of automating the quality assurance process. Instead of rigorous manual analysis of code to determine where a problem resides, the tools, through their relationship with the semantic model, visualize for the user on a display or in another tangible media where in the source software system a problem(s) resides.

Abstract: Aspects of the invention relate generally to software, and more specifically to one or more specifically to software development, FIOSM creation, comparison and subsumption in a software environment and software quality assurance. An exemplary embodiment includes the processes of: (i) designing and verifying that a computer language can completely and correctly generate a Finite Input-Output Semantic Model (FIOSM); and (ii) generating, typically using automation, a FIOSM for a program or system of several programs written in a FIOSM-compatible language.