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Statistical Software Engineering (1996)

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Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
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References

Abdel-Ghaly, A.A., P.Y. Chan, and B. Littlewood. 1986. Evaluation of competing software reliability predictions. IEEE Trans. Software Eng. SE-12(9):950-967.

Abdel-Hamid, T. 1991. Software Project Dynamics: An Integrated Approach . Englewood Cliffs, N.J.: Prentice-Hall.

American Heritage Dictionary of the English Language, The. 1981. Boston: Houghton Mifflin.

American Statistical Association (ASA). 1993. Combining Information: Statistical Issues and Opportunities for Research, Contemporary Statistics Series, No. 1. Alexandria, Va.: American Statistical Association.


Baecker, R.M. and A. Marcus. 1988. Human Factors and Typography for More Readable Programs. Reading, Mass.: Addison Wesley.

Baker, M.J. and S.G. Eick. 1995. Space-filling software displays. J. Visual Languages Comput. 6(2). In press.

Basili, V. 1993. Measurement, analysis and modeling, and experimentation in software engineering. Unpublished paper presented at Forum on Statistical Methods in Software Engineering, October 11-12, 1993, National Research Council, Washington, D.C.

Basili, V. and D. Weiss. 1984. A methodology for collecting valid software engineering data. IEEE Trans. Software Eng. SE-10:6.

Becker, R.A. and W.S. Cleveland. 1987. Brushing scatterplots. Technometrics 29:127-142.

Becker, R.A., W.S. Cleveland, and A.R. Wilks. 1987. Dynamic graphics for data analysis. Statistical Science 2:355-383.

Beckman, R.J. and M.D. McKay. 1987. Monte Carlo estimation under different distributions using the same simulation. Technometrics 29:153-160.

Blum, M., M. Luby, and R. Rubinfeld. 1989. Program result checking against adaptive programs and in cryptographic settings . Pp. 107-118 in Distributed Computing and Cryptography, J. Feigenbaum and M. Merritt, eds. DIMACS: Series in Discrete Mathematics and Theoretical Computer Science, Vol. 2. Providence, R.I.: American Mathematical Society.

Blum, M., M. Luby, and R. Rubinfeld. 1990. Self-testing/correcting with applications to numerical problems. STOC 22:73-83.

Boehm, B.W. 1981. Software Engineering Economics. Engelwood Cliffs, N.J.: Prentice Hall.

Brocklehurst, S. and B. Littlewood. 1992. New ways to get accurate reliability measures. IEEE Software 9(4):34-42.

Brown, M.H. and J. Hershberger. 1992. Color and sound in algorithm animation. IEEE Computer 25(12):52-63.

Burnham, K.P. and W.S. Overton. 1978. Estimation of the size of a closed population when capture probabilities vary among animals. Biometrika 45:343-359.


Chillarege, R., I. Bhandari, J. Chaar, M. Halliday, D. Moebus, B. Ray, and M. Wong. 1992. Orthogonal defect classification-A concept for in-process measurements. IEEE Trans. Software. Eng. SE-18:943-955.

Cohen, D.M., S.R. Dalal, A. Kaija, and G. Patton. 1994. The automatic efficient test generator (AETG) system. Pp. 303-309 in Proceedings of the 5th International Symposium on Software Reliability Engineering. Los Alamitos, Calif.: IEEE Computer Society Press.

Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
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Curtis, W. 1988. The impact of individual differences in programmers. Pp. 279-294 in Working with Computers: Theory versus Outcome, G.C. van der Veer et al., eds. San Diego, Calif.: Academic Press.

Dalal, S.R. and C.L. Mallows. 1988. When should one stop software testing? J. Am. Statist. Assoc. 83:872-879.

Dalal, S.R. and C.L. Mallows. 1990. Some graphical aids for deciding when to stop testing software. IEEE J. Selected Areas in Communications 8:169-175. (Special issue on software quality and productivity.)

Dalal, S.R. and C.L. Mallows. 1992. Buying with exact confidence. Ann. Appl. Probab. 2:752-765.

Dalal, S.R. and A.M. McIntosh. 1994. When to stop testing for large software systems with changing code. IEEE Trans. Software Eng. SE20:318-323.

Dalal, S.R., E.B. Fowlkes, and A.B. Hoadley. 1989. Risk analysis of the space shuttle: Pre-Challenger prediction of failure. J. Am. Stat. Assoc. 84:945-957.

Dalal, S.R., J.R. Horgan, and J.R. Kettenring. 1994. Reliable software and communication II: Controlling the software development process. IEEE J. Selected Areas in Communications 12:33-39.

Dalkey, N.C. 1972. Studies in the Quality of Life-Delphi and Decision-Making. Lexington, Mass.: D.C. Heath & Co.

Dawid, A.P. 1984. Statistical theory: The prequential approach. J. R. Stat. Soc. London A 147:278-292.

DeMillo, R.A., D.S. Guindi, K.S. King, W.M. McCracken, and A.J. Offutt. 1988. An extended overview of the MOTHRA mutation system. Pp. 142-151 in Proceedings of the Second Workshop on Software Testing, Verification and Analysis. Alberta, Canada: Banff.


Ebert, C. 1992. Visualization techniques for analyzing and evaluating software measures. IEEE Trans. Software Eng. 11(18):1029-1034.

Eckhardt, D.E. and L.D. Lee. 1985. A theoretical basis of multiversion software subject to coincident errors. IEEE Trans. Software Eng. SE-11:1511-1517.

Eckhardt, D.E., A.K. Caglayan, J.C. Knight, L.D. Lee, D.F. McAllister, M.A. Vouk, and J.P. Kelly. 1991. An experimental evaluation of software redundancy as a strategy for improving reliability. IEEE Trans. Software Eng. SE-17(7):692-702.

Eick, S.G. 1994. Graphically displaying text. J. Comput. Graphical Stat. 3(2):127-142.

Eick, S.G., C.R. Loader, M.D. Long, S.A. Vander Wiel, and L.G. Votta. 1992a. Estimating software fault content before coding. Pp. 59-65 in Proceedings of the 14th International Conference on Software Engineering (Melbourne, Australia). Los Alamitos, Calif.: IEEE Computer Society Press.

Eick, S.G., J.L. Steffen, and E.E. Sumner. 1992b. A tool for visualizing line oriented software. IEEE Trans. Software Eng. 11(18):957-968.


Ganser, E.R., E.E. Koutsofios, S.C. North, and K.-P. Vo. 1993. A technique for drawing directed graphs. IEEE Trans. Software Eng. SE-19(3):214-230.


Halstead, M.H. 1977. Elements of Software Science. New York: Elsevier.

Hastie, T.J. and R.J. Tibshirani. 1990. Generalized Additive Models . London: Chapman & Hall.

Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
×

Henrion, M. and B. Fischhoff. 1986. Assessing uncertainty in physical constants. Am. J. Phys. 54(9):791-798.

Horgan, J.R. and S. London. 1992. ATAC: A data flow testing tool for C. Pp. 2-10 in Proceedings of the Second Symposium on Assessment of Quality Software Development Tools (May 27-29, 1992, New Orleans, La.), E. Nahouraii, ed. Los Alamitos, Calif.: IEEE Computer Society Press.

Humphrey, W.S. 1988. Characterizing the software process: A maturity framework. IEEE Software 5:73-79.

Humphrey, W.S. 1989. Managing the Software Process. Reading, Mass.: Addison Wesley.

Iman, R.L. and W.J. Conover. 1982. A distribution free approach to inducing rank correlations among input variables. Commun. Stat., Part B 11:311-334.

Institute of Electrical and Electronics Engineers (IEEE). 1990. IEEE Standard Glossary of Software Engineering Terminology. IEEE Std. 610.12-1990. New York: IEEE, Inc.

Institute of Electrical and Electronics Engineers (IEEE). 1993. IEEE Standard for Software Productivity Metrics. IEEE Computer Society, IEEE Std. 1045-1992, January 11, 1993. New York: IEEE, Inc.

Ishikawa, K. 1976. Guide to Quality Control. Tokyo, Japan: Asian Productivity Organization.


Kahneman, D., P. Slovic, and A. Tversky, eds. 1982. Judgment Under Uncertainty: Heuristics and Biases. New York: Cambridge University Press.

Keller, T.W. 1993. Maintenance process metrics for space shuttle flight software . Unpublished paper presented at Forum on Statistical Methods in Software Engineering, October 11-12, 1993, National Research Council, Washington, D.C.

Kitchenham, B. 1991. Never mind the metrics; what about the numbers! Pp. 28-37 in Formal Aspects of Measurement, T. Denvir, R. Herman, and R.W. Whitty, eds. Proceedings of the BCS-FACS Workshop, May 5, 1991, South Bank University, London. New York: Springer-Verlag.

Kitchenham, B. 1992. Analyzing Software Data. Metrics Club Report. Manchester, England: National Computing Centre, Ltd.

Knight, J.C. and N.G. Leveson. 1986. Experimental evaluation of the assumption of independence in multiversion software. IEEE Trans. Software Eng. SE-12(1):96-109.


Lee, D. and M. Yanakakis. 1992. On-line minimization of transition systems. Pp. 264-274 in Proceedings of the 24th Annual ACM Symposium on Theory of Computing. New York: Association for Computing Machinery.

Leveson, N.G. 1986. Software safety: why, what, and how. ACM Comput. Surveys 8:125-163.

Lipton, R. 1989. New directions in testing. Pp. 191-202 in Distributed Computing and Cryptography, J. Feigenbaum and M. Merritt, eds. DIMACS: Series in Discrete Mathematics and Theoretical Computer Science, Vol. 2. Providence, R.I.: American Mathematical Society.

Littlewood, B. 1979. Software reliability model for modular program structure. IEEE Trans. Reliability R-28(3):241-246.

Littlewood, B. and D.R. Miller. 1989. Conceptual modeling of coincident failures in multi-version software. IEEE Trans. Software Eng. SE-15 (12):1596-1614.

Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
×

Littlewood, B. and L. Strigini. 1993. Validation of ultra-high dependability for software-based systems. Communications of the Association for Computing Machinery 36(11):69-80.

Mallows, C.L. 1973. Some comments on Cp. Technometrics 15:661-667.

McCabe, T.J. 1976. A complexity measure. IEEE Trans. Software Eng. SE-1(3):312-327.

McKay, M.D., W.J. Conover, and R.J. Beckman. 1979. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21:239-245.

Mosteller, F. and J.W. Tukey. 1977. Data Analysis and Regression: A Second Course in Statistics. Reading, Mass.: Addison Wesley.

Munson, J.C. 1993. The relationship between software metrics and quality metrics. Unpublished paper presented at Forum on Statistical Methods in Software Engineering, October 11-12, 1993, National Research Council, Washington, D.C.


National Research Council (NRC). 1991. The Future of Statistical Software. Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences. Washington, D.C.: National Academy Press.

National Research Council (NRC). 1992. Combining Information: Statistical Issues and Opportunities for Research. Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences. Washington, D.C.: National Academy Press. (Reprinted in 1993 by the American Statistical Association as Volume 1 in the ASA Contemporary Statistics series.)

Nayak, T.K. 1988. Estimating population size by recapture sampling. Biometrika 75:113-120.


Phadke, M.S. 1993. Robust design method for software engineering. Unpublished paper presented at Forum on Statistical Methods in Software Engineering, October 11-12, 1993, National Research Council, Washington, D.C.

Pill, J. 1971. The Delphi method: Substance, context, a critique and an annotated bibliography . Socio-Economic Planning Science 5:57-71.


Randell, B. and P. Naur, eds. 1968. Software Engineering Concepts and Techniques. NATO Science Committee, Proceedings of the NATO Conferences, October 7-11, 1968, Garmisch, Germany. New York: Petrocelli/Charter.


Sackman, H. 1970. Man-Computer Problem-Solving: Experimental Evaluation of Time-Sharing and Batch Processing. New York: Auerbach.

Siegrist, K. 1988a. Reliability of systems with Markov transfers of control. IEEE Trans. Software Eng. SE-14(7):1049-1053.

Siegrist, K. 1988b. Reliability of systems with Markov transfers of control, II. IEEE Trans. Software Eng. SE-14(10):1478-1480.

Singpurwalla, N.D. 1991. Determining an optimal time interval for testing and debugging software. IEEE Trans. Software Eng. 17(4):313-319.

Smith, A.F.M. and G.O. Roberts. 1993. Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods. J. R. Stat. Soc. London B 55(1):3-23.

Stasko, J. 1993. Software visualization. Unpublished paper presented at Forum on Statistical Methods in Software Engineering, October 11-12, 1993 , National Research Council, Washington, D.C.

Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
×

Stein, M. 1987. Large sample properties of simulations using Latin hypercube sampling. Technometrics 29:143-151.

Tukey, J.W. 1977. Exploratory Data Analysis. Reading, Mass.: Addison Wesley.

Tukey, J.W. 1991. Use of many covariates in clinical trials. Int. Stat. Rev. 59(2):123-128.


Vander Wiel, S.A. and L.G. Votta. 1993. Assessing software designs using capture-recapture methods. IEEE Trans. Software Eng. SE-19(11):1045-1054.


Zuse, H. 1991. Software Complexity: Measures and Methods. Berlin: de Gruyter.

Zweben, S. 1993. Statistical methods in a study of software re-use principles. Unpublished paper presented at Forum on Statistical Methods in Software Engineering, October 11-12, 1993, National Research Council, Washington, D.C.

Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
×
Page 67
Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
×
Page 68
Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
×
Page 69
Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
×
Page 70
Suggested Citation:"References." National Research Council. 1996. Statistical Software Engineering. Washington, DC: The National Academies Press. doi: 10.17226/5018.
×
Page 71
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Statistical Software Engineering Get This Book
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This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering.

It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.

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