IWSED-95: Session and Working Group Topics and Issues
Assessment of product and process quality
- Empirical data on the relationship between process and product
quality: what exactly is the relationship between the two ?
- How to deal with multiple goals for quality and between their
trade-offs
- How to integrate extarnal reference models (e.g., ISO 9001
or CMM) with improvement models based on organizational, in-house
learning
Project management: what data is used and how
- What data is necessary for project management: is cost and
defect data enough
- How to support the project manager in interpreting the data,
do they need/want support ?
- How to integrate project management and estimation tools with
software engineering data
- Project manager's dilemma: when to focus on project specific
improvements and when to spend time on general process improvement
Risk management: what data is used and how
- How to measure benefits of risk management
- Examples of risk management support: checklists, tools, methods
- How much can historical data tell you about your risks ?
- Risks of quantifying risks
Problems and solutions in measurement programs
- How to obtain management buy-in, how to justify cost and overhead
to developers
- Confidentiality of the data
- How to utilize distant data: from history, from other departments
or organizations or from other domains => definition and use
of context data
- Organization and logistics of data collection: what to automate
and how
- Database design and implementation: how perfect should it
be, what is the reasonable time and cost for implementation ?
- Process definition and metrics: "the data is only as
good as the process definition it is based on"
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