Cost estimation for software development
Cost estimation for software development
Peopleware: productive projects and teams
Peopleware: productive projects and teams
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
Leveraging the new infrastructure: how market leaders capitalize on information technology
Leveraging the new infrastructure: how market leaders capitalize on information technology
Estimating software costs
Function point analysis: measurement practices for successful software projects
Function point analysis: measurement practices for successful software projects
Quantifying the costs and benefits of architectural decisions
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Software Engineering Economics
Software Engineering Economics
Numerical Methods for Scientists and Engineers
Numerical Methods for Scientists and Engineers
DSDM: A Framework for Business-Centered Development
DSDM: A Framework for Business-Centered Development
Quatitative IT portolio management
Science of Computer Programming
IT Governance: How Top Performers Manage IT Decision Rights for Superior Results
IT Governance: How Top Performers Manage IT Decision Rights for Superior Results
Quantitative aspects of outsourcing deals
Science of Computer Programming
Quantifying the value of IT-investments
Science of Computer Programming
IEEE Transactions on Software Engineering
Quantifying the yield of risk-bearing IT-portfolios
Science of Computer Programming
Quantifying requirements volatility effects
Science of Computer Programming
Portfolio Control --- When the Numbers Really Count
IWSM/Metrikon/Mensura '08 Proceedings of the International Conferences on Software Process and Product Measurement
Challenges in Predictive Self-Adaptation of Service Bundles
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Quantifying IT estimation risks
Science of Computer Programming
Quantifying IT forecast quality
Science of Computer Programming
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Via quantitative analyses of large IT-portfolio databases, we detected unique data patterns pointing to certain IT-governance rules and styles, plus their sometimes nonintuitive and negative side-effects. We grouped the most important patterns in seven categories and highlighted them separately. These patterns relate to the five fundamental parameters for IT-governance: data, control, time, cost and functionality. We revealed patterns of overperfect and heterogeneous data signifying reporting anomalies or ambiguous IT-governance rules, respectively. We also detected patterns of overregulation and underregulation, portending bloated control or no IT-control at all, both with negative side-effects: productivity loss, and too costly IT-development. Uniform management on time, cost or functionality showed clear patterns in the time and cost case, and more diffuse combined patterns for functionality. For these in total seven types of patterns, it was possible to take corrective measures to reduce unwanted side-effects, and/or amplify the intended purpose of the underlying IT-governance rules. These modifications ranged from refinements and additions, to eradications of IT-governance rules. For each of the seven patterns we provided lessons learned and recommendations on how to recognize and remove unwanted effects. Some effects were dangerous, and addressing them led to significant risk reduction and cost savings.