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
Estimating software costs
The Mathematica book (4th edition)
The Mathematica book (4th edition)
Software assessments, benchmarks, and best practices
Software assessments, benchmarks, and best practices
Function point analysis: measurement practices for successful software projects
Function point analysis: measurement practices for successful software projects
Software Engineering Economics
Software Engineering Economics
Numerical Methods for Scientists and Engineers
Numerical Methods for Scientists and Engineers
Measures for Excellence: Reliable Software on Time, within Budget
Measures for Excellence: Reliable Software on Time, within Budget
Statistical Models in S
Quatitative IT portolio management
Science of Computer Programming
9210: The Zip Code of Another IT-Soap
Software Quality Control
Controlling Software Projects: Management, Measurement, and Estimates
Controlling Software Projects: Management, Measurement, and Estimates
Quantitative aspects of outsourcing deals
Science of Computer Programming
Modern Applied Statistics with S
Modern Applied Statistics with S
9210: The Zip Code of Another IT-Soap
Software Quality Control
Automated mass maintenance of a software portfolio
Science of Computer Programming - Special issue on source code analysis and manipulation (SCAM 2005)
Quantifying the effects of IT-governance rules
Science of Computer Programming
Requiem for software evolution research: a few steps toward the creative age
Ninth international workshop on Principles of software evolution: in conjunction with the 6th ESEC/FSE joint meeting
Quantifying the yield of risk-bearing IT-portfolios
Science of Computer Programming
Quantifying requirements volatility effects
Science of Computer Programming
Collaborative modeling of business processes: a comparative case study
Proceedings of the 2009 ACM symposium on Applied Computing
Quantifying IT estimation risks
Science of Computer Programming
Quantifying forecast quality of IT business value
Science of Computer Programming
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We described a method to quantify the value of investments in software systems. For that, we adopted the classical risk-adjusted discounted cash flow model and geared it towards the field of information technology. This resulted in a scenario-based approach incorporating two IT-specific risks that can substantially influence IT-appraisals. They are requirements creep and time compression. To account for the risk of failed IT-projects and overrun risks we proposed the Weighted Average Cost of Information Technology (WACIT). WACIT adjusts the well-known Weighted Average Cost of Capital, commonly used in discounted cash flow models. We proposed several methods to approximate WACIT ranging from an investment-specific rate to a (company-wide) one inferred from a quantitative IT-portfolio analysis. We illustrated our quantitative IT-investment management approach by way of a published example. For various risk-scenarios, we calculated using this example the impact on the firm's share price, standard economic indicators like NPV, IRR, PBP, ROI, RAROC, and more, in order to come to grips with the appraisal of information technology--the largest production factor of today.