Article

Free access

Maintenance productivity: observations based on an experience in a large system environment

Authors:

Carl S. Hartzman,

Charles F. AustinAuthors Info & Claims

CASCON '93: Proceedings of the 1993 conference of the Centre for Advanced Studies on Collaborative research: software engineering - Volume 1

Pages 138 - 170

Published: 24 October 1993 Publication History

Abstract

This paper is concerned with the economical maintenance of large software products. It examines the software maintenance process and outlines a framework, based on cost-benefit, within which changes to the maintenance environment affecting future maintenance productivity can be evaluated. It also looks at the rationale for the recommendations that are made. The recommendations include the formation of a team charged with overseeing the maintainability of the products and the implementation of certain protocols for maintenance that rigorously incorporate documentation maintenance. The paper is based on the authors ' experience with a large software product, and contains product-specific recommendations.

References

[1]

ALBRECHT, A. J., Measuring Application Development Productivity. Proc. IBM Applications Development Symposium, Monterey, CA, Oct. 1979, pp. 83--92.

[2]

ARTHUR, J. D. and STEVENS, K. T. Assessing the Adequacy of Documentation through Document Quality Indicators. Proc. Conference on Software Maintenance - 1989, pp. 40--49.

[3]

BASILI, V. I. and MUSA, J. D. The Future Engineering of Software: A Management Perspective. IEEE Computer, v. 24 #9, Sept. 1991, pp. 90--96.

Digital Library

[4]

BOEHM, B., BROWN, J. R., KASPAR, H., LIPOW, M., MACLEOD, J., and MERRIT, M. J. Characteristics of Software Quality. North-Holland, 1978.

[5]

BOEHM, B. Software Engineering Economics. Prentice-Hall, 1981.

Digital Library

[6]

BOEHM, B. A Spiral Model for Software Development and Enhancement. IEEE Computer, v. 21 #5, May 1988, pp. 61--72.

Digital Library

[7]

CAMERON, J. JSP & JSD: The Jackson Approach to Software Engineering. IEEE Computer Science Society Press, 1989.

Digital Library

[8]

BRICE, L. and CONNELL, J. System Information Database: An Automated Maintenance Aid. Proc. National Computer Conference, AFIPS, 1984, pp. 209--216.

Digital Library

[9]

CARD, D. N., COTNOIR, D. V., and GOOREVICH, C. E. Managing Software Cost and Maintenance Quality. Proc. Conference on Software Maintenance, 1987.

[10]

CONTE, S. D., DUNSMORE, H. E., and SHEN, V. Y. Software Engineering Metrics and Models. The Benjamin/Cummings Publishing Company, Inc., 1986.

Digital Library

[11]

GILB, T. A Comment on the Definition of Reliability. ACM Software Engineering Notes, v. 4, #3, July 1979.

Digital Library

[12]

GRADY, R. B. and CASWELL, D. L. Software Metrics: Establishing a Company-Wide Program. Prentice-Hall, 1986.

Digital Library

[13]

GRADY, R. B. Measuring and Managing Software Maintenance. IEEE Software, v. 4, #9, Sept. 1987, pp. 35--45.

[14]

GUSTAFSON, D. A., MELTON, A. C., AN, K.-H., and LIN, L. H. Software Maintenance Models. Software Maintenance and Computers (ed. D. Longstreet), IEEE Computer Society Press, 1990, pp. 23--35.

[15]

HALSTEAD, M. H. Elements of Software Science. Elsevier, 1977.

Digital Library

[16]

JONES, C. A Short History of Function Points and Feature Points. Software Productivity Research, Inc., Burlington, MA, June 1986.

[17]

LEINTZ, B. P. Issues in Software Maintenance. ACM Computing Surveys, v. 15 #3, Sept. 1983, pp. 271--278.

Digital Library

[18]

NAKAJO, T. and KUME, H. A Case History of Software Error Cause-Effect Relationships. IEEE Transactions on Software Engineering, v. 17 #8, Aug. 1991, pp. 830--838.

Digital Library

[19]

NAUR, P. and RANDELL, B. (eds.) Software Engineering: A Report on a Conference Sponsored by the NATO Science Committee. NATO, 1969.

[20]

PAGE-JONES, M. The Practical Guide to Structured Systems Design. Yourdan Press, 1980.

Digital Library

[21]

PRESSMAN, R. S. Software Engineering: A Pracitioner's Approach, 3rd edition. McGraw-Hill, New York, 1992.

Digital Library

[22]

SCHNEIDEWIND, N. F. The State of Software Maintenance. IEEE Transactions on Software Engineering, v. SE-13 #3, March 1987, pp. 303--310.

Digital Library

[23]

SWANSON, E. B. The Dimensions of Maintenance. Proc. 2nd International Conference on Software Engineering, 1976, pp. 492--497.

Digital Library

[24]

TAUSWORTHE, R. C. Standardized Development of Computer Software. Prentice-Hall, 1977.

Digital Library

[25]

VALLABHANENI, S. R. Auditing the Maintenance of Software. Prentice-Hall, 1987.

Digital Library

[26]

WALSTON, C. E. and FELIX, C. P. A Method of Programming and Estimation. IBM System Journal, v. 16 #1, 1977, pp. 54--73.

[27]

YOURDAN, E. N. Modern Structured Analysis. Prentice-Hall, 1990.

Digital Library

Cited By

Pascarella LBruntink MBacchelli A(2019)Classifying code comments in Java software systemsEmpirical Software Engineering10.1007/s10664-019-09694-w24:3(1499-1537)Online publication date: 31-Jul-2019
https://dl.acm.org/doi/10.1007/s10664-019-09694-w
Pascarella LBacchelli AGonzalez-Barahona JHindle ATan L(2017)Classifying code comments in Java open-source software systemsProceedings of the 14th International Conference on Mining Software Repositories10.1109/MSR.2017.63(227-237)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/MSR.2017.63

Maintenance productivity: observations based on an experience in a large system environment
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
2. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management

Recommendations

Maintainability as a key factor in maintenance productivity: a case study
ICSM '96: Proceedings of the 1996 International Conference on Software Maintenance

Software quality is not an end in itself, but a step on the way to efficient software engineering. Maintainability is a quality factor whose effects will be seen in the maintenance stage. The investment to add maintainability to the software product ...
Opportunistic maintenance strategy optimization considering imperfect maintenance under hybrid unit-level maintenance strategy
Highlights
- The maintenance strategy at unit-level in opportunistic maintenance model is hybrid.
- Both preventive maintenance actions in the model are imperfect.
- The calculation methods of operation planning time for different preventive ...
Abstract
Opportunistic maintenance is a widely adopted strategy for maintaining multi-unit systems, which has garnered significant attention from researchers. However, the current opportunistic maintenance still suffers from certain limitations, such as ...
Maintenance and repair: a simulation model for field service with condition-based maintenance
WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiers

In this paper, we consider field service in which service providers are responsible for maintaining equipment performance. To do so, preventive maintenance work is usually required in addition to repairs. Field service managers are often faced with the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image DL Hosted proceedings

CASCON '93: Proceedings of the 1993 conference of the Centre for Advanced Studies on Collaborative research: software engineering - Volume 1

October 1993

12 pages

Editors:
Ann Gawman
IBM Toronto Laboratory
,
Evelyn Kidd
National Research Council
,
Per-Åke Larson
University of Waterloo
,
Program Chairs:
Jacob Slonim
IBM Centre for Advanced Studies
,
W. Morven Gentleman
NRC Software Engineering Laboratory

Sponsors

IBM Centre for Advanced Studies (CAS)
NRC: National Research Council - Canada

Publisher

IBM Press

Publication History

Published: 24 October 1993

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 24 of 90 submissions, 27%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
1,389
Total Downloads

Downloads (Last 12 months)68
Downloads (Last 6 weeks)15

Reflects downloads up to 17 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Pascarella LBruntink MBacchelli A(2019)Classifying code comments in Java software systemsEmpirical Software Engineering10.1007/s10664-019-09694-w24:3(1499-1537)Online publication date: 31-Jul-2019
https://dl.acm.org/doi/10.1007/s10664-019-09694-w
Pascarella LBacchelli AGonzalez-Barahona JHindle ATan L(2017)Classifying code comments in Java open-source software systemsProceedings of the 14th International Conference on Mining Software Repositories10.1109/MSR.2017.63(227-237)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/MSR.2017.63

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Figures

Tables

Media

View Table of Conten