By Mark Denne
This publication was once a shock yet simply simply because i did not learn the name properly.
"Software through Numbers : Low-Risk High-Return Development".
Fundamentally, it really is approximately undertaking making plans and prioritisation and never approximately estimation.
This e-book begins with 3 assumptions:-
1. you're utilizing a feature-driven improvement iterative liberate method of a project.
2. you could connect numeric company price to every of the features.
3. you could estimate the price of constructing the mandatory software program modules to enforce the above features.
With those assumptions in position, the authors then use a few internet current price accounting algorithms that will help you time table the software program module improvement to supply "Low-Risk High-Return development".
The algorithms are designed to maximize enterprise go back and minimise the chance as according to the book's title.
It is barely 190-pages, well-laid out with transparent examples pitched on the correct point for me so I swallowed in a week-end with purely faint and far away grumbling from my wife.
I might be attempting it out on my subsequent green-field venture and to work out how assumptions 2 and three withstand the test.
Read or Download Software by Numbers: Low-Risk, High-Return Development PDF
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Additional resources for Software by Numbers: Low-Risk, High-Return Development
2 shows two MMFs, designated A and B, for which costs and expected revenues have been predicted for a project whose success will be measured over 12 months. The figures are in thousands of $US. MMF A takes two periods to develop, whereas MMF B requires just one. However, MMF A returns more revenue than MMF B. 2. Cost and Revenue for Two Sample MMFs (in $US Thousands) The ROI from each MMF depends on when in the 12-month project lifecycle the MMF is constructed. For example, if we assume that only one MMF will be developed per period, then we can only start one or the other of these in period 1 of the project, how do we decide whether MMF A's larger development cost but better returns outweighs MMF B's smaller costs but slower returns?
4. K. Schwaber, M. Beedle, and R. Martin, Agile Software Development with SCRUM, Upper Saddle River, New Jersey: Prentice Hall, 2001. 5. P. ), Reading, Massachusetts: Addison Wesley, 2000. 6. S. Palmer and J. Felsing, Practical Guide to Feature-Driven Development, Upper Saddle River, New Jersey: Prentice Hall, 2002. 7. C. K. Chang, S. Hua, J. Cleland-Huang, and A. Kuntzmann-Combelles, "Function-Class Decomposition," IEEE Computer, 34(12): December 2001, pp. 87 93. 8. edu 9. P. Klein, "Rationalize This!
6. MMFs with Multiple Inheritance Returning again to the tenets of IFM, we want to resolve this conflict through ROI considerations. As it is unlikely that the two types of message system have identical costs, we are faced with the prospect of handling multiple independent cost bases for a single MMF. This is clearly not desirable because we need an unambiguously specified NPV for each IFM element in order to identify an optimal delivery sequence. However, we do know that selecting the optimal solution to this conflict can best be done when we are actually ready to sequence the MMF in question.