TransVis: Expert Interview Data on Transient Behavior in Microservice Systems

Supplementary material from a 2021 IEEE VISSOFT conference paper by researchers at the University of Stuttgart. It includes data, task descriptions, and results from an expert study on transient behavior in microservice systems. The material also contains prototype code for a dashboard, chatbot, and backend webservice.

Use Cases

• Analyzing expert perspectives on transient behavior based on interview data
• Developing visualization tools for microservice monitoring based on the described dashboard component
• Building conversational interfaces for system diagnostics based on the extracted Dialogflow chatbot
• Reproducing or extending the expert study methodology described in the paper

Strengths

• Data is directly tied to a peer-reviewed IEEE conference publication
• Includes multiple components: study data, task descriptions, and prototype code
• Authored by researchers from a recognized institution, the University of Stuttgart

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Column-level documentation is absent; field semantics must be inferred after download
• Row count and file formats are unknown, which may limit suitability assessment

Provenance

Source

University of Stuttgart

Collection Method

Likely gathered from expert interviews and prototype development for a research study.