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Related Experiment Videos

Towards automated traceability maintenance.

Patrick Mäder1, Orlena Gotel

  • 1Institute for Systems Engineering and Automation (SEA), Johannes Kepler University, Linz, Austria.

The Journal of Systems and Software
|March 9, 2013
PubMed
Summary
This summary is machine-generated.

Maintaining up-to-date traceability relations is crucial for software development. This study presents an approach for semi-automated updates of traceability links between UML models by analyzing change events, ensuring better traceability maintenance.

Keywords:
Event-based development activity recognitionModel changesRequirements traceabilityRule-based traceability maintenanceSoftware system evolutionTraceability decayTraceability maintenance

Related Experiment Videos

Area of Science:

  • Software Engineering
  • Information Systems

Background:

  • Traceability relations are essential for understanding software development dependencies.
  • Maintaining up-to-date traceability is critical for realizing the benefits of traceability-enabled tasks.
  • Software evolution necessitates continuous maintenance of traceability relations to prevent decay.

Purpose of the Study:

  • To present an approach for the (semi-)automated update of traceability relations.
  • To support traceability maintenance between requirements, analysis, and design models in UML.
  • To address the challenge of traceability decay in evolving software systems.

Main Methods:

  • Analyzing change events captured from a third-party UML modeling tool.
  • Recognizing development activities within the captured event flow.
  • Matching events with predefined rules to direct updates of impacted traceability relations.

Main Results:

  • A prototype tool supporting the discussed approach has been developed.
  • Empirical results demonstrate the effectiveness of tool-supported traceability maintenance.
  • The approach facilitates the automated update of traceability relations between UML artifacts.

Conclusions:

  • The proposed approach effectively supports the maintenance of traceability relations in evolving software systems.
  • Analyzing change events provides a viable method for semi-automated traceability updates.
  • Tool support is effective in maintaining the integrity of traceability information over time.