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Selected:NoEstimatesATAM (Architecture Tradeoff Analysis Method)LASR (Lightweight Approach for Software Reviews)Monte Carlo Forecasting
| Criterion |  Agile NoEstimates |  Architecture ATAM (Architecture Tradeoff Analysis Method) |  Architecture LASR (Lightweight Approach for Software Reviews) |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation. | LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | laufend | Several meetings plus preparation and analysis; total effort depends on scope | 3–4 h for initial assessment; preparation and deeper analysis additional | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | Evaluation team, architects, and relevant stakeholders | 1 or a small team; particularly suitable for 3–4 people | 1-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations | Lean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checks | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | EstimationForecastingFlow | ArchitectureQualityRiskTradeoffsStakeholders | ArchitectureQualityRiskAssessmentLean | ForecastingFlowDelivery |