Abstract: An interrelated set of tools and methods is disclosed for: (1) measuring the relationship between software source code attributes (such as code quality, design quality, test quality, and complexity metrics) and software economics outcome metrics (such as maintainability, agility, and cost) experienced by development and maintenance organizations, (2) using this information to project or estimate the level of technical debt in a software codebase, (3) using this information to estimate the financial value of efforts focused on improving the codebase (such as rewriting or refactoring), and (4) using this information to help manage a software development effort over its lifetime so as to improve software economics, business outcomes, and technical debt while doing so.

Abstract: An interrelated set of tools and methods is disclosed for: (1) measuring the relationship between software source code attributes (such as code quality, design quality, test quality, and complexity metrics) and software economics outcome metrics (such as maintainability, agility, and cost) experienced by development and maintenance organizations, (2) using this information to project or estimate the level of technical debt in a software codebase, (3) using this information to estimate the financial value of efforts focused on improving the codebase (such as rewriting or refactoring), and (4) using this information to help manage a software development effort over its lifetime so as to improve software economics, business outcomes, and technical debt while doing so.

Abstract: An interrelated set of tools and methods is disclosed for: (1) measuring the relationship between software source code attributes (such as code quality, design quality, test quality, and complexity metrics) and software economics outcome metrics (such as maintainability, agility, and cost) experienced by development and maintenance organizations, (2) using this information to project or estimate the level of technical debt in a software codebase, (3) using this information to estimate the financial value of efforts focused on improving the codebase (such as rewriting or refactoring), and (4) using this information to help manage a software development effort over its lifetime so as to improve software economics, business outcomes, and technical debt while doing so.

Abstract: Technology for ad hoc distributed real-time communication for electronic gaming machines (EGMs) in a gaming system is disclosed. An EGM receives, via a communication network, a streamed audio data having at least one audio file from a broadcast device that was transmitted to the broadcast device as an audio signal. The EGM processes the streamed audio data to enable speakers on the EGM to broadcast the streamed audio data. The EGM broadcasts the streamed audio data using speakers on the EGM. The speakers on the EGMs are part of a distributed speaker system associated with the broadcast device in the gaming system. The EGM dynamically adjusts a volume of a plurality of audio sounds associated with a wagering game funded via the payment accepter on the EGM during the broadcasting of the streamed audio data.

Abstract: Technology for ad hoc distributed real-time communication for electronic gaming machines (EGMs) in a gaming system is disclosed. An EGM receives, via a communication network, a streamed audio data having at least one audio file from a broadcast device that was transmitted to the broadcast device as an audio signal. The EGM processes the streamed audio data to enable speakers on the EGM to broadcast the streamed audio data. The EGM broadcasts the streamed audio data using speakers on the EGM. The speakers on the EGMs are part of a distributed speaker system associated with the broadcast device in the gaming system. The EGM dynamically adjusts a volume of a plurality of audio sounds associated with a wagering game funded via the payment accepter on the EGM during the broadcasting of the streamed audio data.

Abstract: An interrelated set of tools and methods is disclosed for: (1) measuring the relationship between software source code attributes (such as code quality, design quality, test quality, and complexity metrics) and software economics outcome metrics (such as maintainability, agility, and cost) experienced by development and maintenance organizations, (2) using this information to project or estimate the level of technical debt in a software codebase, (3) using this information to estimate the financial value of efforts focused on improving the codebase (such as rewriting or refactoring), and (4) using this information to help manage a software development effort over its lifetime so as to improve software economics, business outcomes, and technical debt while doing so.