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William A. Florac, Robert E. Park, Anita D. Carleton, SEI, April, 1997, Practical Software Measurement: Measuring for Process Management and Improvement, Software Engineering Institute

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Measuring Integrated Product Teams - Richard Stutz Ke (2001)   (Correct)

....Process Control One area of special interest is statistical process control (SPC) of our product quality and process performance. William Florac and Anita Carleton describe SPC as applied to software in their book [7] An earlier version of this material appeared as an SEI technical report [8]. Like many other organizations, we have chosen to apply SPC to peer review data. The reason is that this is our richest source of statistically useful data, and it provides immediate feedback to ongoing projects. The goal of SPC, after all, is to provide information so that the project team can ....

Florac, William A., Park, R., Carleton, A., "Practical Software Measurement: Measuring for Process Management and Improvement", SEI Guidebook CMU/SEI-97-HB-003, April 1997.


Development of Management Commitment to Software Process.. - Abrahamsson, Jokela (2000)   (Correct)

.... 1989; Humphrey, 1992; Zahran, 1998; Grady, 1997) Investment in process improvement has had significant business benefits such as improving the product quality, reducing time to market, resulted in better productivity (Zahran, 1998) increased organizational flexibility and customer satisfaction (Florac et al. 1997). Literature is rife with statements arguing that that in order for any type of change initiative to be successful, one needs to establish a solid top management commitment (Humphrey, 1989; Humphrey, 1992; Grady, 1997; Stelzer and Mellis, 1998; Wohlwend and S. 1994; Zahran, 1998; Diaz and Sligo, ....

Florac, W. A., Park, R. E. and Carleton, A. D. (1997) Practical Software Measurement: Measuring for Process Management and improvement, The Software Engineering Institution, Pittsburgh.


Software Process Measurements using Software.. - Crnkovic, Larsson.. (2000)   (1 citation)  (Correct)

....lines of code, number of documents, etc. quality metrics, etc. Process metrics are on the other hand a result of measurements related to the different phases of the development process. Process measurements help us to understand the processes concerned, to control them, improve and predict them [2]. Size metrics are relative easy to obtain, especially if SCM is systematically used, and size metrics are easy to interpret, since they are often obtained by direct measurements. It is more difficult to provide the process metrics. The identification of data to measure is not trivial, even if ....

William A Florac, Robert E. Part, Anita D. Carleton -- "Practical Software Measurement: Measuring for process management and Improvement", Software Engineering Institute, Carnegie Mellon University, Technical report, CMU/SEI-976-HB-003, April 1997


SEI CMM Level 4 Quantitative Analysis - Real Project Examples (1999)   (Correct)

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William A. Florac, Robert E. Park, Anita D. Carleton, SEI, April, 1997, Practical Software Measurement: Measuring for Process Management and Improvement, Software Engineering Institute


Practices of High Maturity Organizations - Paulk (1999)   (Correct)

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Florac97 William A. Florac, Robert E. Park, and Anita D. Carleton, "Practical Software Measurement: Measuring for Process Management and Improvement," Software Engineering Institute, Carnegie Mellon University, CMU/SEI-96-HB-003, April 1997.


Maturity Level 4 and 5 Concepts: A Position Paper - May Levels   (Correct)

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Florac96 William A. Florac, Robert E. Park, and Anita D. Carleton, "Practical Software Measurement: Measuring for Process Management and Improvement," Software Engineering Institute, Carnegie Mellon University, CMU/SEI-96-HB-021, December 1996.

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