Software reliability for DoD Acquisitions

The newly released IEEE 1633 Recommended Practices for Software Reliability lays the foundation for practical step by step work instructions for risk assessment, prediction and decision criteria.

Softrel, LLC has tailored this document to the DoD by cross matrixing it to DoDi 5000.2 “Operation of the Defense Acquisition System” February 2, 2017.  In addition, SOW language is provided to assist DoD personnel in acquiring reliable software systems tailored to MDAP and MAIS programs ACAT I and II.

 software reliability for DoD acquisitionsSoftware reliability for DoD Acquisitions

Products

A tool to select the most appropriate SRE tasks for MDAP, MAIS, ACAT I and II, provide SOW language and examples of deliverables. This tool is available for DoD employees.

Services

Expert consulting for Software Reliability specific RFP/SOW language and contract monitoring for SRE abilities.

Training

Coming soon - An online 16 hour training class with RMS Partnership which shows how to tailor the IEEE Recommended Practices for Software Reliability (2016) to the Dodi 5000.2 “Operation of the Defense Acquisition System” February 2, 2017 for MDAP, MAIS, ACAT I and II programs.

RMSP208: How to Specify Software Reliability on Government Contracts

How to Specify Software Reliability on Government Contracts: Methods for predicting software reliability are well defined as per IEEE 1633 Recommended Practices for Software Reliability 2016 edition.  This course addresses how to specify software reliability objectives and tailor software reliability activities for Military programs. The attendee is working for a Military organization.  Familiarity with IEEE 1633 Recommended Practices for Software Reliability, 2016 is highly recommended but not required.


Other online courses offered by RMS Partnership

Online Course Offering, August 28 – September 22, 2017 “Making Decisions – Cost and Technology Basics”

This course will explain the basic technical and business making process.  Participants will identify the appropriate method tools for analytical and qualitative decision making tools.   Examples will be provided from IOT hardware-software systems.  This is the first course in a four-course module. The three remaining courses descriptions, as well as, course registration procedures are available on the RMS Partnership web site: www.rmspartnership.org.

 Instructor: John Blyler at 1-503-349-1342 may be contact for additional course information.