C Squared IP Holdings LLC

Christopher Graham Smith

Kevin David Howard

Scott Andrew Smith

Systems and methods of software enhancement and management can comprise inputting one or more data transformation algorithms representing asset data; decomposing the one or more data transformation algorithms into a plurality of Time-Affecting Linear Pathways (TALPs), executing the plurality of TALPs to generate at least one or more value complexity prediction polynomials, executing a TALP execution engine using predictive analytics and external unoptimized context data to create temporally sequenced TALP output data from the plurality of TALPs, modeling predictive outcomes using at least TALP optimization criteria data and the temporally sequenced TALP output data and merging additional external unoptimized context data via a feedback loop over time, and outputting optimized and discretized temporally sequenced output data based on the modeled predictive outcomes.

Software systems and methods for multiple TALP family enhancement and management

Software systems and methods convert algorithms and software codes into time affecting linear pathways (TALPs) via decomposition and convert paired Input/Output (I/O) datasets into TALPs via Value Complexity polynomials. Generated TALPs can be enhanced through merging with other TALPs. TALPs can be grouped by matching the outputs of the TALP-associated prediction polynomials with some set of given criteria into families and cross-families that are useful in a new type of software optimization that allows for output values of grouped TALPs to be modeled, pooled, discretized and optimized to enhance goals or meet user goals.

A software enhancement and management system (E&M System) can include two ways to decompose existing software such that new functionality can be added: functional decomposition and time-affecting linear pathway (TALP) decomposition. Functional decomposition captures the inputs and outputs of the existing software's functions and attaches the new algorithmic constructs presented as other functions that receive the outputs of the existing software's functions. TALP decomposition allows for the generation of time-prediction polynomials that approximate time-complexity functions, speedup, and automatic dynamic loop-unrolling-based parallelization for each TALP.

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Christopher Graham Smith