TOPICS

LIST OF SUGGESTED FEAST'2000 WORKSHOP TOPICS

The list is illustrative. Position papers and extended abstracts addressing topics other than these but within the general themes will be welcome.

THEMES

• Role and Impact of Feedback Mechanisms and Interactions on Business and Software Processes
• Dynamics of Software and Business Evolution and Their Interactions
• Software and Business Process Improvement in the Context of Feedback

TOPICS

I. Understanding and Forecasting Software and Business Evolution

• the what, why and how of software evolution - theory and practice
• identifying, measuring, analysing sources and attributes of product and process evolution
• software evolution: its drivers, characteristics, attributes and implications
• the role of stakeholders' viewpoints
• feasibility and benefits of controlled evolution
• directing and controlling software evolution
• evolution vs ab initio development
• comparing the economics of software evolution and revolution
• evolution in a re-use, component and COTS-intensive world

II. Models and Empirical Studies

• data collection, analysis , interpretation and modelling
• role and impact of formal and informal feedback on software and business processes
• of feedback mechanisms in software and business processes
• of dynamic interactions in and between software, organisational, business, market and technological environments
• process models reflecting feedback interactions
• modelling and analysis paradigms from other disciplines
• methods, techniques and tools for monitoring processes and feedback

III. Process Management and its Support

• management as a feedback-driven process
• feedback in product and process evolution
• feedback in process control
• paradigms for management of evolution
• understanding and forecasting process behaviour and product evolution
• process improvement and reengineering
• cost estimation in the context of feedback and system evolution
• uncertainty and risk management
• use of approaches such as fuzzy dynamics, qualitative dynamics, multi-agent techniques
• exploitation of feedback for process improvement