Function point analysis
Improving the Reliability of Function Point Measurement: An Empirical Study
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Reliability of function points measurement: a field experiment
Communications of the ACM
Assessment and control of software risks
Assessment and control of software risks
The capability maturity model: guidelines for improving the software process
The capability maturity model: guidelines for improving the software process
Applied software measurement (2nd ed.): assuring productivity and quality
Applied software measurement (2nd ed.): assuring productivity and quality
Component-based development for enterprise systems: applying the SELECT perspective
Component-based development for enterprise systems: applying the SELECT perspective
Estimating software costs
Function point analysis: measurement practices for successful software projects
Function point analysis: measurement practices for successful software projects
Death March: The Complete Software Developer's Guide to Surviving Mission Impossible Projects
Death March: The Complete Software Developer's Guide to Surviving Mission Impossible Projects
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Measures for Excellence: Reliable Software on Time, within Budget
Measures for Excellence: Reliable Software on Time, within Budget
Quatitative IT portolio management
Science of Computer Programming
IT Governance
Quantitative aspects of outsourcing deals
Science of Computer Programming
Quantifying the value of IT-investments
Science of Computer Programming
Quantifying the effects of IT-governance rules
Science of Computer Programming
IEEE Transactions on Software Engineering
Quantifying IT estimation risks
Science of Computer Programming
Quantifying forecast quality of IT business value
Science of Computer Programming
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We proposed a method to quantify the yield of an IT-investment portfolio in an environment of uncertainty and risk. For various common implementation scenarios such as growing demands during implementation without deadline extensions we showed how to monetize their impact on the net present value. Depending on the business case this can lead to higher or lower gains. We also took failure of projects within an IT-investment portfolio into account, by appraising the loss in case of failure, resulting in a more realistic yield. To provide maximal insight into this yield, we proposed to treat it as a stochastic variable. We explained how to infer various portfolio yield distributions: discrete, continuous, and cumulative distributions, leading to useful summaries such as box plots and histograms. We argued that these information-rich characterizations support decision makers in taking calculated risks, and provided insight in how to address IT-specific risks and what such risk mitigation may cost. We explained our approach by quantifying the expected yield of a small four project portfolio under uncertainty and risk, and we provided the results for a larger and realistic IT-investment portfolio.