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Unit 12 University of Sunderland CSEM04 ROSCO Standard RiskIt Analysis Graph Icons Reaction x Factor x Event x Effect set x Outcome x Reaction x Factor.

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Presentation on theme: "Unit 12 University of Sunderland CSEM04 ROSCO Standard RiskIt Analysis Graph Icons Reaction x Factor x Event x Effect set x Outcome x Reaction x Factor."— Presentation transcript:

1 Unit 12 University of Sunderland CSEM04 ROSCO Standard RiskIt Analysis Graph Icons Reaction x Factor x Event x Effect set x Outcome x Reaction x Factor x Event x Effect set x Utility loss x Full icon set Minimal icon set

2 Unit 12 University of Sunderland CSEM04 ROSCO Heart Disease Example v1 from (Kontio, 1997) Reaction Hospital treatment of heart problem Factor high cholesterol diet Event doctor's diagnosis of a heart problem Effect set hospital stay: TIME: MONEY: OTHER: Utility loss TIME: 3 weeks MONEY: loss of income. OTHER: disruption to life Outcome diagnosed heart disease Reaction Hospital treatment of heart problem Factor high cholesterol diet Event doctor's diagnosis of a heart problem Effect set hospital stay: TIME: MONEY: OTHER: Utility loss TIME: 3 weeks MONEY: loss of income. OTHER: disruption to life

3 Unit 12 University of Sunderland CSEM04 ROSCO Heart Disease Example (v2) - extended (for Different Stakeholders) Reaction Hospital treatment of heart problem Factor high cholesterol diet Event doctor's diagnosis of a heart problem Effect set hospital stay: TIME: length of hospital stay plus recuperation. MONEY: potential loss of earnings, medical bills. OTHER: disruption Utility loss STAKEHOLDER A: TIME: 3 weeks MONEY: loss of income, plus hospital bills. OTHER: disruption to life Utility loss STAKEHOLDER B: TIME: 3 weeks MONEY: none (covered by insurance and sick pay) OTHER: disruption to life

4 Unit 12 University of Sunderland CSEM04 ROSCO Heart Disease Example (v3) - extended (for Stakeholder A) - Other reactions? Reaction Hospital treatment of heart problem Factor high cholesterol diet Event doctor's diagnosis of a heart problem Utility loss TIME: 3 weeks MONEY: loss of income plus bills. OTHER: disruption to life ReactionEffect setUtility loss Effect set hospital stay: TIME: length of hospital stay plus recuperation. MONEY: potential loss of earnings, medical bills. OTHER: disruption

5 Unit 12 University of Sunderland CSEM04 ROSCO Heart Disease Example … and on we go Reaction Hospital treatment of heart problem Factor high cholesterol diet Event doctor's diagnosis of a heart problem Effect set hospital stay: TIME: MONEY: EMOTION Utility loss TIME: 3 weeks MONEY: loss of income. EMOTION: pain level, disruption to life Event ReactionEffect setUtility loss ReactionEffect set Utility loss The riskit analysis graph can be extended for as many pathways (events, reactions) as necessary.

6 Unit 12 University of Sunderland CSEM04 ROSCO Factor: “Confused about Module Assignment”. –What are the possible events? –What are the corresponding potential reactions (actions after the event)? –What is the cost (effect set) of each reaction? –What is the personal utility loss to the relevant stakeholder? New example: “Confused about Module Assignment” Reaction ? Factor Confused about Module Assignment Event ? Effect set ? Utility loss ?

7 Unit 12 University of Sunderland CSEM04 ROSCO Factor: “Inexperienced systems personnel”. –What are the possible events? –What are the corresponding potential reactions (actions after the event)? –What is the cost (effect set) of each reaction? –What is the personal utility loss to the relevant stakeholder? Example for a System in Operation: “Inexperienced systems personnel” Reaction ? Factor Inexperienced systems personnel Event ? Effect set ? Utility loss ?

8 Unit 12 University of Sunderland CSEM04 ROSCO Factor: “use of new development methods”. –What are the possible events? –What are the corresponding potential reactions (actions after the event)? –What is the cost (effect set) of each reaction? –What is the personal utility loss to the relevant stakeholder? Example for a Systems Development Project: “use of new development methods” Reaction ? Factor use of new development methods Event ? Effect set ? Utility loss ?

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