The Cost of Poor Software Quality 2022 Report

Our 2022 update report estimates that the cost of poor software quality in the US has grown to at least $2.41 trillion.

new webinar on sbom
New Webinar on SBOM

Join us on May 18th to learn how to control software supply chain risks with SBOM.

automated source code data
Automated Source Code Data Protection Measure

CISQ developed a specification for an Automated Source Code Data Protection Measure that has been approved and published as an OMG standard.


Active Standard Projects

Get Involved in Standards Development

Sponsors of CISQ participate in developing new open-source global software standards to address security weaknesses and vulnerabilities.


New Green IT Standard

Automated Source Code Resource Sustainability Measure

Get involved in shaping this new Green IT software standard for sustainable IT solutions.

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ISO 5055 is the first ISO standard to measure software qualities such as security and reliability, with measures taken directly from internal, structural aspects of software rather than its operational behavior.

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The Cost of Poor Software Quality in the US: A 2022 Report

In this 2022 update report we estimate that the cost of poor software quality in the US has grown to at least $2.41 trillion, but not in similar proportions as seen in 2020. The accumulated software Technical Debt (TD) has grown to ~$1.52 trillion.

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CISQ Standards

CISQ collaborates with the world's top software engineering experts to provide an open-source, freely available set of software coding standards, broken into four characteristics: Reliability, Security, Performance Efficiency, and Maintainability. CISQ software standards are free and available for anyone to use.

Software Sizing Standards

This standard is used to estimate the size of a software application or component to support cost estimating, progress tracking, and other software project management activities.

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ISO 5055

The new standard measures the internal, structural quality of software based on detecting and counting weaknesses in security, reliability, performance efficiency, and maintainability. These factors are critical to measuring how trustworthy, dependable, and resilient a software system will be.

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Technical Debt Standard

The Automated Technical Debt standard estimates the effort to correct all instances of the software weaknesses included in the CISQ code quality standards that remain in a software application's code at release. This estimate can be used to predict future corrective maintenance costs.

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Automated Source Code Data Protection Measure

CISQ created an Automated Source Code Data Protection Measure based on a collection of relevant CWEs software weaknesses that can be used to support enterprise and supply chain needs in protecting data, confidential information, IP, and privacy.

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Through Global Collaboration, CISQ Will:

  • Develop international standards to automate software quality measurement and to promote the development and sustainment of secure, reliable, and trustworthy software

  • Share insight to software standards development thought leadership, trend analysis and industry perspective

  • Create cross-industry software quality weaknesses and definitions

  • Educate, evolve, and refine software standard deployment and adoption

  • Provide definitive resources for CISQ community members

  • Advise software standard benchmarking for industry leaders in modernization

Founders & Sponsors






Software Improvement Group