Abstract: Described herein are methods and systems for configuring a data store for tracking and auditing real time events associated with an end-to-end development lifecycle of a software product across different types of software development tools in Agile development environments. The data store stores vast numbers of records containing metadata that describe different types of real time events using different types of tools. Each record includes a set of defined fields that enable the records to be linked across the various tools and events throughout the end-to-end development lifecycle of a software product. Where the event is a compilation event detected in a compiler, the event metadata defining the compilation event is embedded in the compiled code as text for tracking of the development process even after the product is compiled into a binary form.

Abstract: Various embodiments are disclosed to configure a data store for tracking and auditing real time events associated with an end-to-end development lifecycle of a software product across different types of software development tools in Agile development environments. The data store may be configured to store vast numbers of records containing metadata that describe different types of real time events using different types of tools. Although the records may correspond to different tools, each record may include a set of defined fields that enable the records to be linked across the various tools and events throughout the end-to-end development lifecycle of a software product. In some embodiments, where the event is a compilation event detected in a compiler, the event metadata defining the compilation event may be embedded in the compiled code as text for tracking of the development process even after the product is compiled into a binary form.

Abstract: A method of performing a software development process that includes performing a release execution process that analyzes a software code and stores relevant information associated with the software code. Also, the method includes executing a continuous improvement process that is executing on a computer platform. The continuous improvement process receives the relevant information and computes a plurality of relevant scores to measure the likelihood of success of a software development project. Furthermore, the method includes performing a product planning process that utilizes the relevant scores to assess the viability of the software development project.