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Reliable Software SOW Overview
DoW Reliable Software SOW — Task 8 of 9

Reliable Software Risk Assessment

Reliability metrics tell you what already happened. Risk assessment is what tells you what's about to happen. Below are the core elements of tracking the program risks that threaten software reliability.

5 Elements
From risk identification through risk avoidance
Forward-Looking
Focused on what could still go wrong, not just what already has
Metrics-Linked
Tied directly to hidden obstacles that have wreaked havoc on countless software programs
Overview

Why reliability needs its own line on the risk register

Program risk registers often focus on cost and schedule while treating software reliability as a technical detail. This task requires the developer to explicitly identify, score, and mitigate risks — like schedule compression, staffing turnover, or reuse of unproven code — that threaten software reliability specifically.

Explicit

Reliability risk, named

Risks that threaten software reliability are called out specifically, not buried inside general schedule or cost risk.

Actionable

Owned and mitigated

Every identified risk has a named owner and a documented mitigation plan, not just a description.

Connected

Tied to real data

Risk triggers link back to the plans, development factors, and level of rigor- not just a subjective judgment call. When there's no risk ID, either the big risks stay hidden until they derail the program or people imagine risks that don't exist.

01 — Core Elements

The core elements of reliable software risk assessment

Each element below is a step in identifying, scoring, and managing the program-level risks that threaten software reliability.

§1Identification

Risk Identification

Requirement

The developer shall identify program risks that could degrade software reliability, including schedule compression, staffing turnover, requirements volatility, and reuse of unproven code.

Typical Contents
  • Software reliability-specific risks identified separately from general cost/schedule risk
  • The IEEE 1633 clause 5.1 lists a few of these risks. Requs AI Risk ID lists the entire spectrum.
  • Assess the development factors, management structure, inherent risks, processes, and level of rigor.
  • Requs AI Risk ID identifies the risk level in terms of reliability, probability of late delivery and probability of customer satisfaction.
  • Risks reviewed and updated as the program situation changes
§2Scoring

Likelihood/Consequence Scoring

Requirement

Each identified risk shall be scored for likelihood and consequence specifically in terms of its reliability impact.

Typical Contents
  • Scoring scale consistent with the program's overall risk management approach
  • Consequence framed in terms of reliability impact, not just cost or schedule
  • High-scoring risks prioritized for mitigation planning
§3Mitigation

Mitigation Planning

Requirement

Each risk shall have a documented mitigation plan with a named owner and target resolution date.

Typical Contents
  • Specific, actionable mitigation steps rather than vague intentions
  • Named owner accountable for tracking and executing the mitigation
  • Target dates tied to the program schedule
§4Maintenance

Risk Register Maintenance

Requirement

The reliability risk register shall be maintained and reported at program risk reviews throughout the lifecycle.

Typical Contents
  • Register updated on a regular cadence, not just at major reviews
  • Reliability risks visible alongside cost and schedule risk at program reviews
  • Historical record maintained for lessons learned
02 — Why It Matters

What proactive risk assessment buys the program

01 — FOREWARNED

See it coming

Reliability risks are identified and tracked before they turn into missed targets or field failures.

02 — OWNED

Someone is accountable

Named owners and mitigation plans mean risks get managed instead of just logged and forgotten.

03 — INTEGRATED

On the program's radar

Reliability risk sits next to cost and schedule risk at program reviews, where decision-makers actually look.

04 — INFORMED

Grounded in real data

Linking risk to evaluation metrics keeps the register from becoming a list of subjective guesses.

Identify if the program will derail from software before any code is written.

Start with the online demo of Requs AI Risk ID or a discussion of your risk assessment approach.