IEEE P982/D1, Nov 2023
IEEE Draft Standard for Measures of the Software Aspects of Dependability
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Language: English
License Type: Single User
Updates: Not Included
About This Item
IEEE P982/D1, Nov 2023 is an IEEE draft standard focused on measures of the software aspects of dependability in computing and processing. It is concerned with how software-related qualities are defined, assessed, and compared, helping organizations use more consistent criteria when evaluating dependable systems. For teams working on complex software-intensive products, this draft provides a technical basis for clearer measurement and better alignment between design expectations and verification needs.
IEEE P982/D1, Nov 2023 overview
This draft standard addresses the measurement side of software dependability, which may include how reliability, maintainability, and related software attributes are expressed in a technical context. IEEE P982/D1, Nov 2023 is relevant to computing and processing environments where dependability must be examined in a structured way rather than informally judged. By focusing on measures, it supports more consistent interpretation of software quality claims, comparison across systems, and better traceability in engineering reviews and compliance-oriented work.
Typical use cases
IEEE P982/D1, Nov 2023 is typically useful when software teams need a common approach to evaluating dependability in control software, embedded computing platforms, or other processing systems. It may support specification writing, internal assessment methods, procurement reviews, and test planning for software-heavy products. The standard can also be relevant when organizations want to compare dependability measures across versions, suppliers, or development programs while keeping the technical context grounded in software behavior.
Why this standard matters
In practice, a draft such as IEEE P982/D1, Nov 2023 helps reduce ambiguity around how software dependability is measured and communicated. That matters for design control, acceptance decisions, and risk reduction, especially when software performance affects system integrity or service continuity. A more disciplined measurement framework can improve consistency during review and testing, support clearer procurement expectations, and make it easier to justify engineering decisions using shared technical criteria.
- Software dependability measures
- Computing and processing applications
- Verification and assessment planning
- Comparability across systems and versions
- Draft-level technical guidance
- Publication Date: 2023
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
- New Version Available: P982 (2024)
- Previous Version: P982 (2024)
- Previous Version: P982 (2024)
- This Version: P982 (2023)
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