Abstract: A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by preprocessing input source code files with codeword processing operations to generate a plurality of preprocessed input source code files, identifying candidate code snippets by pruning one or more preprocessed input source code files that do not meet a similarity threshold measure for library functions stored in the system library, and identifying at least a first validated code snippet from the one or more candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics.

Abstract: A method, system, and apparatus are disclosed for adding library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file template may be automatically filled by populating selected data fields in the template with information identifying the library model and a set of custom inputs for the library model, and then passing a set of test cases from the set of custom inputs to an input/output matching engine to evaluate a repository of code snippets and identify a set of functionally similar code snippets for inclusion one or more data fields in the template.

Abstract: A method, system, and apparatus are disclosed for adding library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file template may be automatically filled by populating selected data fields in the template with information identifying the library model and a set of custom inputs for the library model, and then passing a set of test cases from the set of custom inputs to an input/output matching engine to evaluate a repository of code snippets and identify a set of functionally similar code snippets for inclusion one or more data fields in the template.

Abstract: A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by preprocessing input source code files with codeword processing operations to generate a plurality of preprocessed input source code files, identifying candidate code snippets by pruning one or more preprocessed input source code files that do not meet a similarity threshold measure for library functions stored in the system library, and identifying at least a first validated code snippet from the one or more candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics.

Abstract: A method, system, and apparatus are disclosed for adding library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file template may be automatically filled with extracted data using an iterative sequence of operations to retrieve, scrape or extract data to automatically populate data fields in library configuration file template for validation processing to ensure that the file is in the correct format and satisfies the constraints provided by the library recommendation engine.

Abstract: A method, system, and apparatus are disclosed for adding library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file template may be automatically filled by populating selected data fields in the template with information identifying the library model, scraping documentation pages to extract test cases, and then scraping test case code to extract the test case input parameters for input to an input/output matching engine to evaluate a repository of code snippets and identify a set of functionally similar code snippets for inclusion one or more data fields in the template.

Abstract: A method and apparatus are disclosed for upgrading libraries in a source code program by evaluating libraries in the source code program for predetermined selection criteria specifying library performance limitations to identify at least a first library which does not meet the plurality of predetermined selection criteria and then identifying a first alternative library that is suitable for substitution for the first library so that the source code program may be automatically modified to replace the first library with the first alternative library, thereby generating a modified source code program having an upgraded library functionality.

Abstract: In at least one embodiment, a system performs regression testing of software using selected test cases. In at least one embodiment, the system selects the test case for regression testing based on whether the test case correlates with modified code. In at least one embodiment, a test case correlates with the modified code if the test case tests all or a proper subset of the modified code. In at least one embodiment, if a test case does not test any of the modified code, then the test case is not used in the regression testing of the modified code.

Abstract: A library model addition engine adds library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model. The library configuration file template may be automatically filled with extracted data using an iterative sequence of operations to retrieve, scrape, or extract data to automatically populate data fields in a library configuration file template for validation processing to ensure that the file is in the correct format and satisfies the constraints provided by the library recommendation engine.

Abstract: A library model addition engine adds library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file template may be automatically filled by populating selected data fields in the template with information identifying the library model, scraping documentation pages to extract test cases, and then scraping test case code to extract the test case input parameters for input to an input/output matching engine to evaluate a repository of code snippets and identify a set of functionally similar code snippets for inclusion one or more data fields in the template.

Abstract: A method, system, and apparatus are disclosed for adding library models to a library knowledge base by defining a library configuration file format for conveying information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file format may be automatically loaded and validated to ensure that the file is in the correct format and satisfies the constraints provided by the library recommendation engine.

Abstract: A method and system include code analysis and visualization technology. The method and system include (i) a repository that stores developer code in a codebase to which many developers and developer teams contribute code over time, (ii) one or more static analysis tools that identify misbehaviors in the codebase from a list of predetermined misbehaviors, (iii) a database that includes each commit that each developer performed on the codebase for a predetermined period of time, (iv) a code attribution tool that employs abstract syntax trees to determine if each commit that a particular developer performs resulted in breaking the code or impairing the code, or results in a failure to correct the code, or if clean code results, and (v) a dashboard tool that enables visualization at different levels of commits with misbehaviors over a predetermined period of time.

Abstract: In at least one embodiment, a system performs regression testing of software using selected test cases. In at least one embodiment, the system selects the test case for regression testing based on whether the test case correlates with modified code. In at least one embodiment, a test case correlates with the modified code if the test case tests all or a proper subset of the modified code. In at least one embodiment, if a test case does not test any of the modified code, then the test case is not used in the regression testing of the modified code.

Abstract: A method and apparatus are disclosed for finding overlong source code segments (e.g., methods) by evaluating input source code segments for a plurality of predetermined code metric values in order to identify candidate source code segments (e.g., non-autogenerated methods) which do not meet a first code metric value and to assess each candidate source code segment against a second code metric value to identify different sets of candidate source code segments (e.g., test methods and normal methods) so that each set of candidate source code segments may be assessed against a tailored set of code length thresholds to identify any overlong source code segment having a code length which meets or exceeds at least two of the tailored set of code length thresholds.

Abstract: A method, system, apparatus, and computer program product for efficiently outsourcing projects, such as software development projects, are presented. A business entity may precisely and succinctly define one or more requests for proposals (RFPs) using predefined service identifiers which specify discrete, short-term projects (e.g., 4 weeks or less) with fixed inputs and outputs and objective evaluation metrics which allow for each project to be evaluated using, for example, automated evaluation software tools. By posting RFPs on a web site, the business entity solicits bids from third party vendors to perform the project identified in the RFP. Since individual projects are identified with objective inputs, outputs, and evaluation metrics, vendors can bid on the project with minimal evaluation and speculation regarding the appropriate bidding price for the project.

Abstract: A library model addition engine adds library models to a library knowledge base by defining a library configuration file format for conveying information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model. The library configuration file format may be automatically loaded and validated to ensure that the file is in the correct format and satisfies the constraints provided by the library recommendation engine.

Abstract: A method, system, and apparatus are disclosed for adding library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file template may be automatically filled by populating selected data fields in the template with information identifying the library model and a set of custom inputs for the library model, and then passing a set of test cases from the set of custom inputs to an input/output matching engine to evaluate a repository of code snippets and identify a set of functionally similar code snippets for inclusion one or more data fields in the template.

Abstract: A computer system for analyzing source code is disclosed. The computer system includes a processor and electronic memory storage. The electronic memory storage includes source code and executable instructions. The processor runs the executable instructions to: access the source code from the electronic memory storage; analyze code elements of the accessed source code to extract node data, edge data, and bindings data; and store the node data, edge data, and bindings data, in a graph database structure in the electronic memory storage.

Abstract: A system and method for remote testing of enterprise software applications (ESA) allows one or more testers to remotely access an ESA and remotely test the ESA. In at least one embodiment, the ESA resides in a testing platform that includes one more computers that are provisioned for testing. “Provisioning” a computer system (such as one or more servers) refers to preparing, configuring, and equipping the computer system to provide services to one or more users. In at least one embodiment, the computer system is provisioned to create an ESA operational environment in accordance with a virtual desktop infrastructure (VDI) template interacting with virtualization software.

Abstract: A method and apparatus are disclosed for finding overlong source code segments (e.g., methods) by evaluating input source code segments for a plurality of predetermined code metric values in order to identify candidate source code segments (e.g., non-autogenerated methods) which do not meet a first code metric value and to assess each candidate source code segment against a second code metric value to identify different sets of candidate source code segments (e.g., test methods and normal methods) so that each set of candidate source code segments may be assessed against a tailored set of code length thresholds to identify any overlong source code segment having a code length which meets or exceeds at least two of the tailored set of code length thresholds.