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Large Limits to Software Estimation (2001)

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by J.P. Lewis
Citations:5 - 0 self
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BibTeX

@MISC{Lewis01largelimits,
    author = {J.P. Lewis},
    title = {Large Limits to Software Estimation},
    year = {2001}
}

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Abstract

Algorithmic (KCS) complexity results can be interpreted as indicating some limits to software estimation. While these limits are abstract they nevertheless contradict enthusiastic claims occasionally made by commercial software estimation advocates. Specifically, if it is accepted that algorithmic complexity is an appropriate definition of the complexity of a programming project, then claims of purely objective estimation of project complexity, development time, and programmer productivity are necessarily incorrect.

Citations

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136 An empirical validation of software cost estimation models - Kemerer - 1987
80 Rapid Development: Taming Wild Software Schedules - McConnell - 1996
42 A Critical Look at Software Capability Evaluations - Bollinger, McGowan - 1991
26 Randomness and Undecidability - Svozil - 1993
22 Enough about Process: What we need are heroes - Bach - 1995
21 A Recursive Introduction to the Theory of Computation - Smith - 1994
14 Process Assessment Considered Wasteful - Fayad, Laitinen - 1997
10 Knowing and the Mystique of Logic and Rules - Naur - 1995
5 Why Does Software Cost So Much? and other Puzzles of the Information Age - DeMarco - 1995
3 The Interplay of Art and - Bollinger - 1997
2 Are We Developers Liars or just Fools - Charette - 1995
1 Software Quality Standards in Practice: The Limitations of Using ISO-9001 to Support Software Development - Avison, Shah, et al. - 1994
1 others, “Inside Risks” monthly column - Neumann, Simons
1 Software Project Cost and Schedule Estimating: Best Practices - Roetzheim, Beasley - 1995
1 Software Quality Lessons from the Quality Experts - Schulmeyer - 1995
1 contributors, “Risks to the Public” column, Software Engineering Notes; also - Neumann
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