ISBSG invite you to present at their annual IT Confidence Conference

The conference targets two types of contributions:

Experience & Insight
Problem statements and practiced solutions in planning, that use benchmarking to drive strategic decision-making
Research
Empirical studies, hypothesized models, that establish effective benchmarking programs to improving software/service value management.

The impact of AI on software metrics.
Approaches for cost-effective and sustainable benchmarking programs.
Approaches to using standardized data for fact-based decision making, especially in agile environments.
Approaches for standardized data collection, analysis, and standardization practices.
Innovative Software Cost Estimation approaches, using parametric models and historical data.
Requirements and constraints for designing effective benchmarking programs to achieve better value management.
Benchmarking in SMEs (Small-Medium Enterprises) and VSE (Very Small Entities) and related constraints.
Internal and external benchmarking for better strategic, tactical, and operational decision-making.
Empirical studies on what could be the most effective measures/KPI to be considered in a benchmarking program and their level of granularity for properly supporting the decision-making process.
Alignment of business, tactical, and operational goals and timing for revising the benchmarking strategy
PDR/productivity variances and evidence in/after the COVID-19 period.