In-process metrics for software testing | Zendy

Stephen H. Kan | Zendy; James Parrish | Zendy; Diane Manlove | Zendy

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In-process metrics for software testing

Author(s) -

Stephen H. Kan,

James Parrish,

Diane Manlove

Publication year - 2001

Publication title -

ibm systems journal

Language(s) - English

Resource type - Journals

ISSN - 0018-8670

DOI - 10.1147/sj.401.0220

Subject(s) - computer science , software engineering , software metric , process (computing) , software , software development , ibm , software construction , metric (unit) , personal software process , software development process , goal driven software development process , system integration testing , verification and validation , programming language , engineering , operations management , materials science , nanotechnology

In-process tracking and measurements play a critical role in software development, particularly for software testing. Although there are many discussions and publications on this subject and numerous proposed metrics, few in-process metrics are presented with sufficient experiences of industry implementation to demonstrate their usefulness. This paper describes several in-process metrics whose usefulness has been proven with ample implementation experiences at the IBM Rochester AS/400® software development laboratory. For each metric, we discuss its purpose, data, interpretation, and use and present a graphic example with real-life data. We contend that most of these metrics, with appropriate tailoring as needed, are applicable to most software projects and should be an integral part of software testing.

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