Software Metrics: A Key to Improved Software Development Management

J. E. Gaffney
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J. E. Gaffney: IBM, Federal Systems Division

A chapter in Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface, 1981, pp 211-220 from Springer

Abstract: Abstract This paper describes some of the potential for applying software metrics to the management of the software development process. It also considers some of the practical difficulties one typically faces in evolving and validating a software metric. One difficulty is the collection of baseline data in the real world of software production in which controlled experiments typically are not possible. The results of some recent quantitative ‘metrics’ investigations are presented and their practical implications for software estimation and control are cited. These investigations are thought to be representative of the process of evaluating software data not obtained under ‘controlled’ conditions such as is typically the situation in the natural science laboratory.

Keywords: 1. Software Metric; 2. Software Volume; 3. Software Potential Volume; 4. Software Size Estimation; 5. Conditional Jumps (search for similar items in EconPapers)
Date: 1981
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-9464-8_32

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DOI: 10.1007/978-1-4613-9464-8_32

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