An Approach to Statistical Process Control and Quantitative Project Management
Abstract
The statistical process control supports the continuous improvement of the quality and performance of managed processes. Many software organizations aim to improve its processes through this practical, but some fail. One of the causes is the incorrect application of the necessary statistical knowledge in the analysis techniques. This work presents an example of how to statistically control the process and how to quantitatively manage the projects, through the definition of the steps and techniques to be used, providing knowledge for organizations aiming to statistically control its processes regarding the definition and deployment of the analysis techniques and steps.
Keywords:
Statistical Control, Quantitative Management, Defining an Approach
References
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ISO/IEC 9001: 2000, “Quality Management Systems – Requirements.
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Wang, Q., Jiang, N., Gou, L., Liu, X., Li, M., Wang, Y., “BSR: A Statistic-based Approach for Establishing and Refining Software Process Performance Baseline”, ICSE, 2006.
CHAOS, The Standish Group International, Inc., Dennis, MA, 1994, 1997.
Cangussu, J. W., DeCarlo, R. A., Mathur, A. P., “Monitoring the Software Test Process Using Statistical Process Control: A Logarithmic Approach”, ESEC/FSE, 2003.
Chrissis, M.B., Konrad M., Shrum S., “CMMI® Guidelines for Process Integration and Product Improvement”, Addison-Wesley, 2003.
Conradi, R., Fuggetta, A., “Improving Software Improvement,” pp. 92-99, IEEE Software No.4, vol 19, 2002.
Deming, W. Edwards, “Out of the Crisis”, MIT Center for Advanced Engineering Study, Cambridge, Massachusetts, 1986.
Florac, W. A., Carleton, A. D., “Measuring the Software Process,” Addison-Wesley, 1999.
ISO/IEC 15504, “Information Technology - Software Process Assessment Part 1 – Concepts and vocabulary; part 2 – Performing an assessment; part 3 – Guidance on performing an assessment; part 4 – Guidance on use for process improvement and process capability de-termination; and part 5 – An exemplar process assessment model.”
ISO/IEC 9001: 2000, “Quality Management Systems – Requirements.
ISO/IEC 9004: 2000, “Quality Management Systems – Guidelines for Performance Improvements.
ISO/IEC 15939: 2002, “Software Measurement Process”.
Komuro, M., “Experiences of Applying SPC Techniques to Software Development Processes”, ICSE, 2006.
McGarry, J., Card, D., Jones, C., Layman, B., Clark, E., Dean, J., Hall, F., “Pratical Software Measurement”, Addison-Wesley, 2002.
MPS.BR – Melhoria de Processo do Software Brasileiro, Guia Geral, versão 1.1, 2006. Sargut, K. U., Demirors, O., “Utilization of statistical process control (SPC) in emergent software organizations: pitfalls and suggestions”, Software Quality Journal, 2006.
Shewhart, W., “The Economic Control of Quality of Manufactured Product”, D. Van Nostrand Company, New York, 1931, reimpresso por ASQC Quality Press, Milwaukee, Wisconsin, 1980.
Solingen, R., Berghout, E., “The Goal/Question/Metric Method: a practical guide for quality improvement of software development”, McGraw-Hill Publishing Company, 1999.
Tayntor, C.B., “Six Sigma Software Development”. CRC Press LLC, New York. 2003.
Wang, Q., Jiang, N., Gou, L., Liu, X., Li, M., Wang, Y., “BSR: A Statistic-based Approach for Establishing and Refining Software Process Performance Baseline”, ICSE, 2006.
Published
2007-06-01
How to Cite
CERDEIRAL, Cristina; MENDES, Sávio; SANTOS, Gleison; MONTONI, Mariano; PINTO, Rosângela; ROCHA, Ana Regina.
An Approach to Statistical Process Control and Quantitative Project Management. In: BRAZILIAN SOFTWARE QUALITY SYMPOSIUM (SBQS), 6. , 2007, Porto de Galinhas.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2007
.
p. 293-307.
DOI: https://doi.org/10.5753/sbqs.2007.15583.
