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Zannier, C, Melnik G, Maurer F.  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. Abstract
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Wilson, G, Aranda J.  2011.  Empirical Software Engineering. American Scientist. 99(6) Abstract
Wilson, BE.  1952.  An Introduction to Scientific Research.
Wieringa, R, Heerkens H, Regnell B.  2009.  How to Write and Read a Scientific Evaluation Paper. Proceedings of the 2009 17th IEEE International Requirements Engineering Conference, RE. :361–364. Abstract
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Vitek, J, Kalibera T.  2011.  Repeatability, reproducibility, and rigor in systems research. Proceedings of the ninth ACM international conference on Embedded software. :33–38. Abstract
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Tufte, ER.  1986.  The Visual Display of Quantitative Information.
Tichy, W.  2011.  Empirical software research: an interview with Dag Sjøberg, University of Oslo, Norway. Ubiquity. 2011:2:1–2:14. Abstract
Tichy, WF.  1998.  Should Computer Scientists Experiment More? Computer. 31:32–40. Abstract
Tempero, E, Anslow C, Dietrich J, Han T, Li J, Lumpe M, Melton H, Noble J.  2010.  Qualitas Corpus: A Curated Collection of Java Code for Empirical Studies. 2010 Asia Pacific Software Engineering Conference (APSEC2010). Abstract
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Small, C, Ghosh N, Saleeb H, Seltzer M, Smith K.  1997.  Does Systems Research Measure Up? Abstract
Sj"berg, DIK, Anda B, Arisholm E, Dyb{\aa} T, J"rgensen M, Karahasanovic A, Koren EF, Vokác M.  2002.  Conducting Realistic Experiments in Software Engineering. Proceedings of the 2002 International Symposium on Empirical Software Engineering. :17–. Abstract
Singer, J.  2011.  A literate experimentation manifesto. Proceedings of the 10th SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software. :91–102. Abstract
Schulte, E, Davison D, Dye T, Dominik C.  2012.  A Multi-Language Computing Environment for Literate Programming and Reproducible Research. Journal of Statistical Software. 46:1–24. Abstract
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Robertson, J.  2011.  Stats: We're Doing It Wrong. BLOG@CACM. Abstract
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Prechelt, L.  1997.  Why We Need an Explicit Forum for Negative Results. Journal of Universal Computer Science. 3:1074–1083. Abstract
Popper, K.  1959.  The Logic of Scientific Discovery.
Planck, M.  1949.  The meaning and limits of exact science. Science. 110
Pieterse, V, Flater D.  2014.  The ghost in the machine: don't let it haunt your software performance measurements.
Perry, DE, Porter AA, Votta LG.  2000.  Empirical studies of software engineering: a roadmap. Proceedings of the Conference on The Future of Software Engineering. :345–355. Abstract
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Oreskes, N.  2014.  Why we should trust scientists. Abstract
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Norvig, P.  2012.  Warning Signs in Experimental Design and Interpretation. 2012 Abstract
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Mytkowicz, T, Diwan A, Hauswirth M, Sweeney PF.  2009.  Producing wrong data without doing anything obviously wrong!. ASPLOS '09: Proceeding of the 14th international conference on Architectural support for programming languages and operating systems. :265–276. Abstract
Mytkowicz, T, Diwan A, Hauswirth M, Sweeney PF.  2010.  Evaluating the accuracy of Java profilers. PLDI '10: Proceedings of the 2010 ACM SIGPLAN conference on Programming language design and implementation. :187–197. Abstract
Mudge, T.  1996.  Report on the panel: "how can computer architecture researchers avoid becoming the society for irreproducible results?" SIGARCH Comput. Archit. News. 24:1–5.
Mitzenmacher, M.  2015.  Theory Without Experiments: Have We Gone Too Far? Commun. ACM. 58:40–42. Abstract