June 2002
Volume 4 • Number 3
Contents
SOFTWARE METRICS
An Analytical Approach To Software Metrics Management
By Alex Glushkovsky
This article addresses an analytical approach that provides
a practical framework for software metrics management. The
matrix-based framework is applied to the following aspects
of software metrics management:
- Metrics establishment, including conceptualization and
customization according to the nature of software business
- Determination of necessary data collection
- Metrics analysis and utilization, including evaluation
of goal achievement and guidance for business improvement
In addition, the framework supports the following formal
elements of software metrics management: documentation,
review, control, maintenance, and audit.
Key words: business intelligence, matrix, metrics system,
qualitative analysis, quantitative analysis
INTRODUCTION
Software metrics is an important issue in modern software
development. It allows a company to analytically guide business
improvement, support planning and controlling activities,
benchmark processes and products, and forecast outputs of
future projects. A metrics system is a business intelligence
fundamental. Although the issue has been in focus for more
than a decade and even supported by standards, todays
software business sophistication requires an integrative software
metrics management approach. This approach should provide:
- Metrics establishment, including conceptualization and
customization according to the nature of software business
- Determination of necessary data collection
- Implementation guidance
- Metrics analysis and utilization, including evaluation
of goal achievement and guidance for business improvement
In addition, it should support documenting, reviewing, controlling,
maintenance, and auditing.
This article introduces an analytical approach that provides
a practical framework for software metrics management that
supports the previously mentioned elements. Once implemented,
it allows one to segment business areas with respect to the
achievement of established goals and optimization of decision-making,
and it decreases the uncertainty of future projects.
The full text of this article may be
found in the print journal. To subscibe go to /quality-press/display-item/index.html?item=SUBSCR_SQP.
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