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Application of SPC in CMM level 3 Companies to Improve Process Capability with Respect to Effort Deviation and Schedule Deviation

R Ravichandran, Dr M Punithavalli, V. Vijayalakshmi

Abstract


This study probed into improving the process capability in defined level software companies to achieve high process maturity with respect to effort deviation and schedule deviation using Statistical Process Control (SPC) technique. Using the results of research through literature review, collection of data from software industry this study would be identified the relative importance of SPC, software quality and software process. SPC can be applied in defined level companies to improve the process maturity [1]. A case study is conducted in the present study to obtain practical evidence on the validity of the reasoning about statistical process control in achieving high level process maturity at defined level companies. The real time data were collected for effort deviation and schedule deviation for the different phases of the project life cycle considering two different languages namely VB.NET and ASP.NET.Projects were grouped language wise for analysis and the control limits were constructed and defined for effort deviation and schedule deviation separately. The applicability of SPC through control charts in improving the process capability with respect to effort deviation and schedule deviation have been validated considering projects done in two different languages.

Keywords


Statistical Process Control (SPC), Effort Deviation, Schedule Deviation, Process Maturity

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References


Vijaya, G. and Arumugam, S. (2010) Proceedings of the World Congress on Engineering and Computer Science,Vol I.

CMMI Product Team, (2001) CMMISM for Systems Engineering, Software Engineering, and Integrated Product and Process Development (CMMISE/ SW/IPPD, Vo1.1), Continuous Representation. Carnegie Mellon University.

Sargut, K.U and Demirors, O. (2006) Utilization of statistical process control (SPC) in emergent software organizations: Pitfalls and suggestions, Software Quality Journal, Vol. 14, No. 2, pp. 135-157.

Jayaswal, B and Patton, P. (2006) Design for Trustworthy Software: Tools, Techniques, and Methodology of Developing Robust Software, Pearson Education, Inc., ISBN: 0131872508.

Kan, S. H. (2003) Metrics and Models in Software Quality Engineering, Singapore: Pearson Education, P. 7.

Bohem R. (1997) Function Point FAQ, Metuchen,USA, Software Composition Technologies, Inc URL http://ourworld.compuserve.com/homepage/softcom/A38

Natrella, Mary G., Experimental Statistics, National Bureau of Standards Handbook 91, U.S.Department of Commerce, Washington, D.C., 1966.

Shewhart, W.A, (1939) Statistical Method: From the Viewpoint of Quality Control, Lancaster Press Inc.


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