Measuring and Improving Process Capabilities

This paper discusses how software projects following different processes, which display disparate characteristics, have been categorized and analyzed using statistical techniques to measure and improve process capability. The analysis shows that language type, size of the application and complexity (represented by ratio of Total Project Effort to Build Phase Effort) are the predominant discriminating factors affecting quality and process parameters. Categorization done based on this stratification scheme results in minimum variation within the group concerned. Such logical grouping also facilitates meaningful comparison of a project performance with almost similar historical data.

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About the author

Anoop Kumar's picture Anoop Kumar

Anoop Kumar has a Bachelor of Engineering degree in Metallurgy from the University of Roorkee. He has done post graduation in Industrial Engineering from NITIE, Mumbai. He has worked with Infosys since May 2000. Presently, he is a member of SEPG in Quality Department and looks after the organization-wide Metrics Program. Prior to Infosys, he has  worked in Tata Steel for eight years in the areas of statistical process control, process benchmarking, implementation and audit of ISO 9000 quality systems, operations research, and facilitation of company-wide quality improvement programs.

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