2002Unpublished venueRequires access

Metrics in software process assessment, quality assurance and risk assessment

Linda Rosenberg, Sylvia B. Sheppard

Open publisher page 9 citations

Abstract

The current NASA environment mirrors the changes taking place in the nation at large. We are required to do more for less. For software developers, the message is clear: we must understand our software processes better and manage our developments more carefully while maintaining a high degree of reliability. To this end we use a software process model and software metrics. We are interested in the "quality" of the code, its maintainability, and its potential for reuse and risk assessment. This paper describes a four-year data collection and analysis methodology called the Software Process Assessment (SPA). Measurement of the process and the software produced are the critical elements of SPA. We describe the metrics and discuss some preliminary results and applications.>

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What this paper is about

The current NASA environment mirrors the changes taking place in the nation at large. We are required to do more for less. For software developers, the message is clear: we must understand our software processes better and manage our developments more carefully while maintaining a high degree of reliability. To this end we use a software process model and software metrics. We are interested in the "quality" of the code, its maintainability, and its potential for reuse and risk assessment. This paper describes a four-year data collection and analysis methodology called the Software Process Assessment (SPA). Measurement of the process and the software produced are the critical elements of SPA. We describe the metrics and discuss some preliminary results and applications.>

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The current NASA environment mirrors the changes taking place in the nation at large. We are required to do more for less. For software developers, the message is clear: we must understand our software processes better and manage our developments more carefully while maintaining a high degree of reliability. To this end we use a software process model and software metrics. We are interested in the "quality" of the code, its maintainability, and its potential for reuse and risk assessment. This paper describes a four-year data collection and analysis methodology called the Software Process Assessment (SPA). Measurement of the process and the software produced are the critical elements of SPA. We describe the metrics and discuss some preliminary results and applications.>

Key concepts: Maintainability, Software quality, Software engineering, Computer science, Software quality assurance, Process (computing), Software quality analyst, Software

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