A uniform approach to the classification of anomalies found in software and its documentation is provided. The processing of anomalies discovered during any software life cycle phase are described, and comprehensive lists of software anomaly classifications and related data items that are helpful to identify and track anomalies are provided. This standard is not intended to define procedural or format requirements for using the classification scheme. It does identify some classification measures and does not attempt to define all the data supporting the analysis of an anomaly.
- Standard Committee
- RS/SC - IEEE Reliability Society Standards Committee
- Status
- Superseded Standard
- Superseded by
- 1044-2009
- Board Approval
- 1993-12-02
- History
-
- ANSI Approved:
- 1994-08-04
- Published:
- 1993-11-30
- Reaffirmed:
- 2002-09-12
Working Group Details
- Society
- IEEE Reliability Society
- Standard Committee
- RS/SC - IEEE Reliability Society Standards Committee
- Working Group
-
1044_WG - Std Classification for Software Anomalies Working Group
- IEEE Program Manager
- Patricia Roder
Contact Patricia Roder - Working Group Chair
- David Zubrow
Other Activities From This Working Group
Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.
No Active Projects
Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.
No Active Standards
These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.
No Superseded Standards
These standards have been removed from active status through a ballot where the standard is made inactive as a consensus decision of a balloting group.
No Inactive-Withdrawn Standards
These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.
1044-2009
IEEE Standard Classification for Software Anomalies
This standard provides a uniform approach to the classification of software anomalies, regardless of when they originate or when they are encountered within the project, product, or system lifecycle. Classification data can be used for a variety of purposes, including defect causal analysis, project management, and software process improvement (e.g., to reduce the likelihood of defect insertion and/or increase the likelihood of early defect detection).