IEEE P29148_CD2, Feb 2010

P29148_CD2, Feb 2010 is a requirements engineering standard for computing and processing work, offering a structured basis for defining, analyzing, and managing system needs. It is relevant where software or information systems must be specified clearly before design and implementation begin. In practice, this technical document helps teams reduce ambiguity, align stakeholders, and support more controlled development outcomes when requirements quality affects delivery, verification, and long-term system consistency.

P29148_CD2, Feb 2010 overview

This standard sits within the requirements engineering context, where the focus is on identifying what a system should do and documenting it in a form that can be reviewed and tested. P29148_CD2, Feb 2010 is useful for projects that need a disciplined approach to requirements capture, analysis, specification, and change handling. In computing and processing environments, that typically means improving traceability between stakeholder needs, design decisions, and acceptance checks.

Typical use cases

P29148_CD2, Feb 2010 is commonly used when teams need to define requirements for software applications, control systems, data-processing workflows, or other engineered information solutions. It may support early project planning, specification reviews, contract discussions, and verification planning. The standard is especially relevant where multiple stakeholders contribute to the requirements baseline and where clarity is needed to manage scope, prevent rework, and support disciplined implementation across development and testing activities.

Why this standard matters

Requirements engineering standards matter because weak or incomplete requirements often lead to cost overruns, defects, and delivery delays. P29148_CD2, Feb 2010 provides a reference point for consistency in how requirements are written, checked, and maintained. That can improve procurement clarity, design control, and testability, while also helping teams manage changes without losing traceability. For computing and processing projects, that kind of structure can reduce risk and support more reliable outcomes.

• Requirements capture and clarification
• Analysis, review, and traceability
• Specification for software and processing systems
• Change control across project stages
• Verification-focused requirements handling