Interval quality: Relating customer-perceived quality to process quality

Proceedings - International Conference on Software Engineering

Volumn , Issue , 2008, Pages 723-732

  Mockus, Audris ^a   Weiss, David ^a  

^a AVAYA LABS RESEARCH   (United States)

Author keywords

Software metrics

Indexed keywords

ADAPTIVE BEHAVIORS; CUSTOMER SUPPORTS; DENSITY MEASURES; PERCEIVED QUALITIES; PROCESS QUALITIES; RELEASE RATES; SOFTWARE METRICS; SOFTWARE ORGANIZATIONS; SOFTWARE QUALITIES; ADAPTIVE BEHAVIOR; CUSTOMER SUPPORT; PERCEIVED QUALITY; PROCESS QUALITY; RELEASE RATE; SOFTWARE ORGANIZATION; SOFTWARE QUALITY;

CONCURRENCY CONTROL; CUSTOMER SATISFACTION; DEFECT DENSITY; DEFECTS; PLANNING; SALES; SOFTWARE ENGINEERING; STRATEGIC PLANNING; TELECOMMUNICATION; TELECOMMUNICATION SYSTEMS; VERIFICATION;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 57449113408     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1368088.1368190     Document Type: Conference Paper

References (28)

1. V. Basili, L. Briand, and W. Melo. A validation of object-oriented design metrics as qualityindicators. IEEE Transactions on Software Engineering, 22(10):751-761, Oct 1996.
2. V. Basili and D. Weiss. Evaluating software development by analysis of changes: Some data from the software engineering laboratory. IEEE Trans, on Software Engineering, February 1985.
3. M. Buckley and R. Chillarege. Discovering relationships between service and customer satisfaction. Proceedings of the. International, Conference on Software Maintenance, pages 192 - 201, 1995.
4. D. A. Christenson and S. T. Huang. Estimating the fault content of software using the fix-on-fix model. Bell Labs Technical Journal, 1(1):130-137, Summer 1996.
5. S. Chulani. Coqualmo (constructive quality model) a software defect density prediction model. Project Control for Software Quality, 1999.
6. S. Chulani, P. Santhanam, D. Moore, and G. Davidson. Deriving a software quality view from customer satisfaction and service data. European Conference on Metrics and Measurement, 2001.
7. S. G. Eick, C. R. Loader, M. D. Long, L. G. Votta, and S. Vander Wiel. Estimating software fault content before coding. In Proceedings of the 14th International Conference on Software Engineering, pages 59-65, Melbourne, Australia, May 1992.
8. E. N. Fenton and P. S. L. Software Metrics: A Rigorous and Practical Approach. PWS Publishing Company, 20 Park Plaza, Boston, second edition edition, 1997.
9. R. Grady and D. Caswell. Software Metrics: establishing a company wide program. Prentice Hall, Englewood Cliffs, NJ, 1987.
10. T. L. Graves, A. F. Karr, J. S. Marron, and H. Siy. Predicting fault incidence using software change history. IEEE Transactions on Software Engineering, 26(2), 2000.
11. M. H. Halstead. Elements of Software Science. Elsevier - North Holland, 1979.
12. J. Jelinski and P. B. Moranda. Software reliability research. In W. Freiberger, editor, Probabilistic Models for Software, pages 485-502. Academic Press, 1972.
13. T. J. McCabe. A complexity measure. IEEE Trans, on Software Engineering, 2(4):308-320, Dec. 1976.
14. A. K. Midha. Software configuration management for the 21st century. Bell Labs Technical Journal, 2(1), Winter 1997.
15. A. Mockus and D. M. Weiss. Predicting risk of software changes. Bell Labs Technical Journal, 5(2):169-180, April-June 2000.
16. A. Mockus, D. M. Weiss, and P. Zhang. Understanding and predicting effort in software projects. In 2003 International Conference on Software Engineering, pages 274-284, Portland, Oregon, May 3-10 2003. ACM Press.
17. A. Mockus, P. Zhang, and P. Li. Drivers for customer perceived software quality. In ICSE 2005, pages 225-233, St Louis, Missouri, May 2005. ACM Press.
18. S. N. Mohanty. Models and measurements for quality assessment of software. ACM Computing Surveys, 11(3):251-275, September 1979.
19. J. C. Munson and T. M. Khoshgoftaar. Regression modelling of software quality: Empirical investigation. Information and Software Technology, pages 106-114, 1990.
20. J. D. Musa, A. Iannino, and K. Okumoto. Software Reliability: Measurement, Prediction, Application. McGraw-Hill Book Company, 1987. ISBN: 0-07-044093-X.
21. N. Ohlsson and H. Alberg. Predicting fault-prone software modules in telephone switches. IEEE Trans. on Software Engineering, 22(12):886-894, December 1996.
22. M. Rochkind. The source code control system. IEEE Trans, on Software Engineering, 1(4):364-370, 1975.
23. G. J. Schick and R. W. Wolverton. An analysis of competing software reliability models. IEEE Trans, on Software Engineering, SE-4(2):104-120, March 1978.
24. N. F. Schneidewind and H.-M. Hoffman. An experiment in software error data collection and analysis. IEEE Trans, on Software Engineering, SE-5(3):276-286, May 1979.
25. V. Y. Shen, T.-J. Yu, S. M. The baut, and L. R. Paulsen. Identifying error-prone software-an empirical study. IEEE Trans, on Software Engineering, SE-11(4):317-324, April 1985.
26. D. Weiss. Evaluating software development by error analysis: The data from the architecture research facility. J. Systems and Software, 1:57-70, 1979.
27. D. Weiss, D. Bennett, J. Payseur, P. Zhang, and P. Tendick. Goal-oriented software assessment. In Proceedings of the 24th International Conference on Software Engineering, pages 221 - 231, Orlando, Florida, 2002. ACM Press. ISBN: 1-58113-472-X.
28. T. J. Yu, V. Y. Shen, and H. E. Dunsmore. An analysis of several software defect models. IEEE Trans, on Software Engineering, 14(9): 1261-1270, September 1988.