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Software product quality assurance

Published: 07 June 1982 Publication History

Abstract

Providing clear objectives, guidelines, and requirements in an environment conducive to high productivity is absolutely essential to designing and producing high-quality software. The Software Quality Branch of the Computer Systems Division of Texas Instruments is tasked with providing support functions that are vital to producing high-quality software.
This paper explains the role of the Software Quality Branch in administering the development methodology of the Computer Systems Division. The paper also describes our participation in a corporate effort to define and monitor quality indices and our use of a software quality circle to encourage commitment to quality goals and to develop solutions to quality problems.

References

[1]
McCall, James A. "An Introduction to Software Quality Metrics." In J. D. Cooper and M. J. Fisher (eds.), Software Quality Management. New York, Petrocelli, 1979.
[2]
Bersoff, Edward H., V. D. Henderson, and S. G. Siegel. "Software Configuration Management, An Investment in Product Integrity." Englewood Cliffs, New Jersey: Prentice-Hall, 1980.
[3]
Halstead, Maurice H. Elements of Software Science. New York: Elsevier North-Holland, 1977.

Cited By

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  • (2022)Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated AlgorithmsComputer10.1109/MC.2021.306722555:4(40-50)Online publication date: Apr-2022
  • (2021)Systematizing Audit in Algorithmic RecruitmentJournal of Intelligence10.3390/jintelligence90300469:3(46)Online publication date: 17-Sep-2021
  • (2021)Machine Learning for Health: Algorithm Auditing & Quality ControlJournal of Medical Systems10.1007/s10916-021-01783-y45:12Online publication date: 1-Dec-2021

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cover image ACM Other conferences
AFIPS '82: Proceedings of the June 7-10, 1982, national computer conference
June 1982
857 pages
ISBN:088283035X
DOI:10.1145/1500774
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • AFIPS: American Federation of Information Processing Societies

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 June 1982

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Cited By

View all
  • (2022)Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated AlgorithmsComputer10.1109/MC.2021.306722555:4(40-50)Online publication date: Apr-2022
  • (2021)Systematizing Audit in Algorithmic RecruitmentJournal of Intelligence10.3390/jintelligence90300469:3(46)Online publication date: 17-Sep-2021
  • (2021)Machine Learning for Health: Algorithm Auditing & Quality ControlJournal of Medical Systems10.1007/s10916-021-01783-y45:12Online publication date: 1-Dec-2021

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