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Course Outline

Introduction

  • Requirements and their quality.
  • Acceptance criteria: definition and purpose.

Selecting an Approach for Acceptance Criteria

  • Analysis of the project context.
  • Identification of stakeholders and their expectations.
  • Differentiating acceptance criteria from Definition of Ready (DoR) and Definition of Done (DoD).

Methods for Describing Acceptance Criteria

  • Scenarios.
  • EARS standard.
  • User stories with textual acceptance criteria.
  • User stories with Gherkin syntax.

Quality Control of Acceptance Criteria

  • The role of testers/QA in ensuring the quality of analytical artifacts.
  • The importance of teamwork in the quality assurance of analytical artifacts.
  • The relationship between acceptance criteria and testing.

Summary

  • Workshop recap.
  • Best practices and key elements of the information management process.

Requirements

Foundational understanding of the IT product lifecycle.
Proficiency in the terminology used in software development and IT project implementation.
Recommended prior experience with at least one IT project.

Level
2

Objectives
Comprehend the critical role of acceptance criteria in enhancing requirement quality and mitigating project risk.
Gain practical skills in constructing and verifying requirements acceptance criteria.

Benefits
Instruction delivered by an industry expert with years of IT experience and deep knowledge of IT processes.
A strong emphasis on practical application—essential theory is reinforced with project practice, and discussed topics are linked to real-world project scenarios.
Training conducted using standard requirements engineering tools, offering participants the chance to learn basic functionalities of these tools.
Participants can immediately apply the knowledge gained during the training.

Target Audience
System and business analysts, product owners, and business owners.
Business representatives tasked with defining business needs.
Software and system engineers.
Testers, QA professionals, and individuals responsible for the quality assurance of information systems and software.

 14 Hours

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Price per participant

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