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Showing 17 articles tagged with AI, Big Data, Security or SysML [max. 4 tags]

  • Practice
  • Cross-discipline
AI Assistants in Requirements Engineering | Part 1
Introduction and Concepts
  • Practice
  • Cross-discipline
AI Assistants in Requirements Engineering | Part 2
Implementation and Future Trends
  • Practice
Building in security instead of testing it in
Eliciting security requirements needs a different process
  • Cross-discipline
  • Practice
Conversation with an Artificial Intelligence
What does OpenAI’s ChatGPT say about RE?
  • Practice
  • Methods
Cyber Security Requirements Engineering
Hands-on guidance for developing and managing security requirements
  • Methods
  • Skills
Data Science – the expanding frontier for Business Analysts
Evaluating Business Analysts‘ role in the Data Driven Economy
  • Methods
Discovering System Requirements through SysML
An application of the IREB Handbook of Requirements Modeling
  • Cross-discipline
  • Practice
Ethics of Using LLMs in Requirements Engineering
Balancing Innovation and Responsibility in Leveraging LLMs in RE
  • Practice
Evolving and Improving the Requirements Approach to Big Data Projects
A Roadmap to Implementing Big Data Projects
  • Methods
  • Practice
How to go about it – a GDPR action plan | Part 2
GDPR compliance supports better overall protection
  • Practice
  • Cross-discipline
Mission Possible
Concept for the successful handling of integral NFRs in Scaled Agile Environments.
  • Methods
  • Practice
Modeling Requirements and Context as a means for Automated Requirements Validation
An Example from the Automation Industry
  • Methods
Modeling Requirements with SysML
How modeling can be useful to better define and trace requirements
  • Methods
  • Cross-discipline
ReqInspector
An Approach for the Inspection of the Completeness of individual Software Requirements Specifications by Semantic Analysis of the Argument Structures
  • Methods
  • Cross-discipline
RMMi 1.0: A New Maturity Model for Requirements Engineering
A Maturity Path for Trustworthy Requirements in the AI, Security, and Sustainability Era
  • Methods
  • Studies and Research
Using AI to discover more innovative requirements from documents
Revisiting models of creativity for AI
  • Methods
  • Practice
Why and when must requirement engineers pay attention to the GDPR? | Part 1
Neglecting personal data protection is not an option
Title Topic Author Date Reading time

AI Assistants in Requirements Engineering | Part 1

Practice Cross-discipline
15 minutes

AI Assistants in Requirements Engineering | Part 2

Practice Cross-discipline
21 minutes

Building in security instead of testing it in

Practice
14 minutes

Conversation with an Artificial Intelligence

Cross-discipline Practice
20 minutes

Cyber Security Requirements Engineering

Practice Methods
14 minutes

Data Science – the expanding frontier for Business Analysts

Methods Skills
18 minutes

Discovering System Requirements through SysML

Methods
9 minutes

Ethics of Using LLMs in Requirements Engineering

Cross-discipline Practice
14 minutes

Evolving and Improving the Requirements Approach to Big Data Projects

Practice
15 minutes

How to go about it – a GDPR action plan | Part 2

Methods Practice
4 minutes

Mission Possible

Practice Cross-discipline
11 minutes

Modeling Requirements and Context as a means for Automated Requirements Validation

Methods Practice
27 minutes

Modeling Requirements with SysML

Methods
13 minutes

ReqInspector

Methods Cross-discipline
21 minutes

RMMi 1.0: A New Maturity Model for Requirements Engineering

Methods Cross-discipline
9 minutes

Using AI to discover more innovative requirements from documents

Methods Studies and Research
16 minutes

Why and when must requirement engineers pay attention to the GDPR? | Part 1

Methods Practice
9 minutes