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14.22 Risk Assessment

This section documents the number of changes to specific areas of the imc Learning Suite; along with a risk assessment. These changes include both enhancements and fixes to resolve known software errors. This risk assessment is general and does not assess a risk for a certain use case or scenario because this varies for each customer individually. Each change was checked according to the certified processes (ISO 9001:2008) of our development and QA department – at least two times before delivery. It is nevertheless recommended for customers to perform own testing of customer specific scenarios or use cases where changes could impact key scenarios.

Modifications in Version 14.22

Functional area

Risk of changes

High*)

Medium

Low

Minimal risk

Accessibility

API

1

Architecture

Attendance tracking

AVETMISS

Bookshelf

Catalogues

1

Certifications

Clients / Multi-tenant

Compliance Workflows

Configuration

1

Courses

1

3

Channels

1

3

Dashboards and Panels

Data privacy

0

Documentation

e-Payment gateways

Easy Course Creation

Emails & Notifications & iCal

3

Enrolment processes

1

1

Equivalences

1

Feedbacks

Gamification

Integration and interfaces (3rd party)

3

2

Language handling

Learner area

Learning App Windows

Learning paths

LTI

1

Media

Miscellaneous

Mobile Apps

1

Multi-language support

Navigation

On-the-job Training

Recommendation engine

Reporting

1

3

Resource Management

SCORM / AICC

1

Skill Management

1

Supervisor functions

System Validation

1

System wide

1

1

Tests

Time Zones

Tutor functions

Users / Groups

UX / Design

2

Virtual Classroom

1

Wording

1

xAPI WBT

1

Total issues:

3

6

27

2

High risk change notes:

  • Sanitizer bypass on System Texts:
    The sanitizer bypass is flagged as high risk due to the ability to enter HTML code. In order to edit System Texts a user would require access rights to the System texts function and clearances to wording bundles; this is normally only granted to System Administrators.

  • Meta tag refactoring:
    There is a risk that some functionally obsolete meta tag could be removed if assigned to learning objects.

  • Large contenful paint:
    Lazy loading introduced for pages changes the loading sequence and will change display of content in some screens.

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