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Making Software by Greg Wilson, Andy Oram

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References

[Armstrong 2007] Armstrong, J.S. 2007. Significance tests harm progress in forecasting. International Journal of Forecasting 23(2): 321–327.

[Basili 2009] Basili, V. 2009. Personal communication, September.

[Basili and Selby 1987] Basili, V., and R. Selby. 1987. Comparing the Effectiveness of Software Testing Strategies. IEEE Transactions on Software Engineering 13(12): 1278–1296.

[Basili et al. 1999] Basili, V.R., F. Shull, and F. Lanubile. 1999. Building Knowledge Through Families of Experiments. IEEE Transactions on Software Engineering 25(4): 456–473.

[Boehm 2009] Boehm, B. 2009. Future Challenges for Software Data Collection and Analysis. Keynote address presented at the International Conference on Predictor Models in Software Engineering (PROMISE09), May 18–19, in Vancouver, Canada.

[Boehm et al. 2000] Boehm, B.W., C. Abts, A.W. Brown, S. Chulani, B.K. Clark, E. Horowitz, R. Madachy, D. Reifer, and B. Steece. 2000. Software Cost Estimation with Cocomo II. Upper Saddle River, NJ: Prentice Hall PTR.

[Briand 2006] Briand, L. 2006. Predictive Models in Software Engineering: State-of-the-Art, Needs, and Changes. Keynote address, PROMISE workshop, IEEE ICSM, September 24, in Ottawa, Canada.

[Budgen et al. 2009] Budgen, D., B. Kitchenham, and P. Brereton. 2009. Is Evidence Based Software Engineering Mature Enough for Practice & Policy? Paper presented at the 33rd Annual IEEE Software Engineering Workshop (SEW-33), October 13–15, in Skövde, Sweden.

[Carver et al. 2008] Carver, J., Juristo, N., Shull, F., and Vegas, S. 2008. The Role of Replications in Empirical Software Engineering. Empirical Software Engineering: An International Journal 13(2): 211–218.

[Cohen 1988] Cohen, J. 1988. The earth is round (p < .05). American Psychologist 49: 997–1003.

[Demsar 2006] Demsar, J. 2006. Statistical Comparisons of Classifiers over Multiple Data Sets. Journal of Machine Learning Research 7: 1–30.

[Endres and Rombach 2003] Endres, A., and H.D. Rombach. 2003. A Handbook of Software and Systems Engineering. Boston: Addison-Wesley.

[Feldmann et al. 2006] Feldmann, R., F. Shull, and M. Shaw. 2006. Building Decision Support in an Imperfect World. Proc. ACM/IEEE International Symposium on Empirical Software Engineering 2: 33–35.

[Foss et al. 2003] Foss, T., E. Stensrud, B. Kitchenham, and I. Myrtveit. 2003. A Simulation Study of the Model Evaluation Criterion MMRE. IEEE Transactions on Software Engineering 29(11): 985–995.

[Green et al. 2009] Green, P., T. Menzies, S. Williams, and O. El-waras. 2009. Understanding the Value of Software Engineering Technologies. Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering: 52–61. Also available at http://menzies.us/pdf/09value.pdf.

[Hall et al. 2008] Hall, T., H. Sharp, S. Beecham, N. Baddoo, and H. Robinson. 2008. What Do We Know About Developer Motivation? IEEE Software 25(4): 92–94.

[Kitchenham 2004] Kitchenham, B. 2004. Procedures for undertaking systematic reviews. Technical Report TR/SE-0401, Department of Computer Science, Keele University, and National ICT, Australia Ltd.

[Kitchenham et al. 2007] Kitchenham, B., E. Mendes, and G. H. Travassos. 2007. Cross Versus Within-Company Cost Estimation Studies: A Systematic Review. IEEE Trans. Software Eng. 33(5): 316–329.

[Menzies 2008] Menzies, T. 2008. Editorial, special issue, repeatable experiments in software engineering. Empirical Software Engineering 13(5): 469–471.

[Menzies and Marcus 2008] Menzies, T., and A. Marcus. 2008. Automated Severity Assessment of Software Defect Reports. Paper presented at IEEE International Conference on Software Maintenance, September 28–October 4, in Beijing, China.

[Menzies et al. 2008] Menzies, T., M. Benson, K. Costello, C. Moats, M. Northey, and J. Richardson. 2008. Learning Better IV & V Practices. Innovations in Systems and Software Engineering 4(2): 169–183. Also available at http://menzies.us/pdf/07ivv.pdf.

[Menzies et al. 2009] Menzies, T., O. El-waras, J. Hihn, and B. Boehm. 2009. Can We Build Software Faster and Better and Cheaper? Paper presented at the International Conference on Predictor Models in Software Engineering (PROMISE09), May 18–19, in Vancouver, Canada. Available at http://promisedata.org/pdf/2009/01_Menzies.pdf.

[Neto et al. 2008] Neto, A., R. Subramanyan, M. Vieira, G.H. Travassos, and F. Shull. 2008. Improving Evidence About Software Technologies: A Look at Model-Based Testing. IEEE Software 25(3): 10–13.

[Rogers 1962] Rogers, E.M. 1962. Diffusion of innovations. New York: Free Press.

[Runeson et al. 2006] Runeson, P., C. Andersson, T. Thelin, A. Andrews, and T. Berling. 2006. What do we know about defect detection methods? IEEE Software 23(3): 82–90.

[Seaman 2007] Seaman, C. 2007. Qualitative Methods. In Guide to Advanced Empirical Software Engineering, ed. F. Shull, J. Singer, and D. I. K. Sjøberg, 35–62. London: Springer.

[Shull 2002] Shull, F., V.R. Basili, B. Boehm, A.W. Brown, P. Costa, M. Lindvall, D. Port, I. Rus, R. Tesoriero, and M.V. Zelkowitz. 2002. What We Have Learned About Fighting Defects. Proc. IEEE International Symposium on Software Metrics (METRICS02): 249–258.

[Shull and Seaman 2008] Shull, F., and C. Seaman. 2008. Inspecting the History of Inspections: An Example of Evidence-Based Technology Diffusion. IEEE Software 24(7): 88–90.

[Shull et al. 2001] Shull, F., J. Carver, and G.H. Travassos. 2001. An Empirical Methodology for Introducing Software Processes. Proc. Joint European Software Engineering Conference and ACM SIGSOFT Symposium on Foundations of Software Engineering (ESEC/FSE): 288–296.

[Tosun et al. 2009] Tosun, A., A. Bener, and B. Turhan. 2009. Practical Considerations of Deploying AI in Defect Prediction: A Case Study within the Turkish Telecommunication Industry. Paper presented at the International Conference on Predictor Models in Software Engineering (PROMISE09), May 18–19, in Vancouver, Canada. Available at http://promisedata.org/pdf/2009/09_Tosun.pdf.

[Turham et al. 2009] Turhan, B., T. Menzies, A.B. Bener, and J. Di Stefano. 2009. On the relative value of cross-company and within-company data for defect prediction. Empirical Software Engineering 14(5):540–557.

[Weyuker et al. 2008] Weyuker, E.J., T.J. Ostrand, and R.M. Bell. 2008. Do too many cooks spoil the broth? Using the number of developers to enhance defect prediction models. Empirical Software Engineering 13(5): 539–559.

[Zannier et al. 2006] Zannier, C., G. Melnik, and F. Maurer. 2006. On the Success of Empirical Studies in the International Conference on Software Engineering. Proceedings of the 28th international conference on software engineering: 341–350.

[Zimmerman 2009] Zimmermann, T., N. Nagappan, H. Gall, E. Giger, and B. Murphy. 2009. Cross-Project Defect Prediction. Proceedings of the 7th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE): 91–100.

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