The economics of software quality assurance

Authors:
David S. Alberts
Affiliations:
The Mitre Corporation, McLean, Virginia
Venue:
AFIPS '76 Proceedings of the June 7-10, 1976, national computer conference and exposition
Year:
1976

Citing 5
Cited 7

The psychology of computer programming

The psychology of computer programming
Structured programming in a production programming environment

Proceedings of the international conference on Reliable software
Evaluating the effectiveness of software verification: pratical experience with an automated tool

AFIPS '72 (Fall, part I) Proceedings of the December 5-7, 1972, fall joint computer conference, part I
System quality through structured programming

AFIPS '72 (Fall, part I) Proceedings of the December 5-7, 1972, fall joint computer conference, part I
Two unusual methods for debugging system software

Software—Practice & Experience

The economics of software quality assurance: a simulation-based case study

MIS Quarterly
A defect prevention approach to architecture-based testing

COMPSAC '97 Proceedings of the 21st International Computer Software and Applications Conference
Automating the software development process

IBM Systems Journal
Generating test data for distributed software using the chaining approach

Information and Software Technology
Parallel testing of distributed software

Information and Software Technology
A new method of test data generation for branch coverage in software testing based on EPDG and genetic algorithm

ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
ASSET: A life cycle verification and visibility system

Journal of Systems and Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an examination into the economics of software quality assurance. An analysis of the software life-cycle is performed to determine where in the cycle the application of quality assurance techniques would be most beneficial. The number and types of errors occurring at various phases of the software life-cycle are estimated. A variety of approaches in increasing software quality (including Structured Programming, Top Down Design, Programmer Management Techniques and Automated Tools) are reviewed and their potential impact on quality and costs are examined.