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Software metrics for effective project management

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Abstract

Metrics definition and analysis method selection is often not accorded due importance. Metrics and analysis methods are routinely selected to satisfy requirements of software process improvement frameworks such as CMMI. Considerable time and effort is spent in collecting metrics and analyzing them without realizing the benefits of the measurement and analysis effort. This may be attributed to inadequate understanding of the link between the selected metrics and the underlying processes. The inappropriate selection of analysis method may also be due to lack of understanding about the desired monitoring and control actions. This paper discusses the benefits of choosing appropriate metrics and analysis method based on observations in several organizations. It also discusses the pitfalls of choosing wrong metrics.

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Abbreviations

CMMI:

Capability maturity model integration

GQM:

Goal question metric

IFPUG:

International function point users group

PMI:

Project management institute

RYG:

Red yellow green

SCAMPI:

Standard CMMI appraisal method for process improvement

SEPG:

Software engineering process group

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Related works

  • Florac WA, Park RE, Carleton AD (1997) Practical software measurement: measuring for process management and improvement. Software Engineering Institute, CMU, Pittsburgh

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  • Florac WA, Carleton AD (1999). Measuring the Software Process: Statistical Process Control for Software Process Improvement, The SEI Series in Software Engineering

  • Kan SH (2006) Metrics and Models in Software Quality Engineering, Pearson Education

  • Park RE, Goethert WB, Florac WA (1996) Goal-driven software measurement—A guidebook. Software Engineering Institute, CMU, Pittsburgh

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  • Southekal PH (2011) A Measurement Framework for Software Projects, Trafford Publishing

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Authors and Affiliations

  1. Cross Country Infotech Pvt. Ltd, Pune, 411053, India

    Kanhaiya Jethani

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  1. Kanhaiya Jethani
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Correspondence to Kanhaiya Jethani.

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Jethani, K. Software metrics for effective project management. Int J Syst Assur Eng Manag 4, 335–340 (2013). https://doi.org/10.1007/s13198-012-0101-1

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  • DOI: https://doi.org/10.1007/s13198-012-0101-1

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