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Journal Article
Bernard, C.  1950.  An introduction to the study of experimental medicine. Journal of the American Pharmaceutical Association. 39(10) Abstract
Denning, PJ.  2005.  Is Computer Science Science? Commun. ACM. 48:27–31. Abstract
Lea, D, Bacon DF, Grove D.  2008.  Languages and performance engineering: method, instrumentation, and pedagogy. SIGPLAN Not.. 43:87–92. Abstract
Planck, M.  1949.  The meaning and limits of exact science. Science. 110
Bailey, DH.  1992.  Misleading Performance Reporting in the Supercomputing Field. Sci. Program.. 1:141–151. 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
Dittrich, J.  2010.  Paper Bricks: An Alternative to Complete-Story Peer Reviewing. SIGMOD Record. 39(4) Abstract
Ko, AJ, Latoza TD, Burnett MM.  2015.  A Practical Guide to Controlled Experiments of Software Engineering Tools with Human Participants. Empirical Softw. Engg.. 20:110–141. Abstract
Kitchenham, BA, Pfleeger S L, Pickard LM, Jones PW, Hoaglin DC, Emam K E, Rosenberg J.  2002.  Preliminary guidelines for empirical research in software engineering. IEEE Trans. Softw. Eng.. 28:721–734. Abstract
Atmanspacher, H, Lambert BL, Folkers G, Schubiger PA.  2014.  Relevance relations for the concept of reproducibility. J. R. Soc. Interface. 11(94) Abstract
Manegold, S, Manolescu I, Afanasiev L, Feng J, Gou G, Hadjieleftheriou M, Harizopoulos S, Kalnis P, Karanasos K, Laurent D et al..  2010.  Repeatability & workability evaluation of SIGMOD 2009. SIGMOD Rec.. 38:40–43. Abstract
Bonnet, P, Manegold S, Bjørling M, Cao W, Gonzalez J, Granados J, Hall N, Idreos S, Ivanova M, Johnson R et al..  2011.  Repeatability and workability evaluation of SIGMOD 2011. SIGMOD Rec.. 40:45–48. Abstract
Manolescu, I, Afanasiev L, Arion A, Dittrich J, Manegold S, Polyzotis N, Schnaitter K, Senellart P, Zoupanos S, Shasha D.  2008.  The repeatability experiment of SIGMOD 2008. SIGMOD Rec.. 37:39–45. 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.
Delling, D, Demetrescu C, Johnson DS, Vitek J.  2016.  Rethinking Experimental Methods in Computing (Dagstuhl Seminar 16111). Dagstuhl Reports. 6:24–43. Abstract
Tichy, WF.  1998.  Should Computer Scientists Experiment More? Computer. 31:32–40. Abstract
Mitzenmacher, M.  2015.  Theory Without Experiments: Have We Gone Too Far? Commun. ACM. 58:40–42. Abstract
Blackburn, SM, Diwan A, Hauswirth M, Sweeney PF, Amaral J N, Brecht T, Bulej L\'ır, Click C, Eeckhout L, Fischmeister S et al..  2016.  The Truth, The Whole Truth, and Nothing But the Truth: A Pragmatic Guide to Assessing Empirical Evaluations. ACM Trans. Program. Lang. Syst.. 38:15:1–15:20. Abstract
Bailey, DH.  1991.  Twelve ways to fool the masses when giving performance results on parallel computers. Supercomputing Review. :54--55. Abstract
Blackburn, SM, McKinley KS, Garner R, Hoffmann C, Khan AM, Bentzur R, Diwan A, Feinberg D, Frampton D, Guyer SZ et al..  2008.  Wake Up and Smell the Coffee: Evaluation Methodology for the 21st Century. Commun. ACM. 51:83–89.
Ioannidis, JPA.  2005.  Why Most Published Research Findings Are False. PLoS Medicine. 2:e124. Abstract
Prechelt, L.  1997.  Why We Need an Explicit Forum for Negative Results. Journal of Universal Computer Science. 3:1074–1083. Abstract
Magazine Article
Wilson, G, Aranda J.  2011.  Empirical Software Engineering. American Scientist. 99(6) Abstract
Lehrer, J.  2010.  The Truth Wears Off: Is there something wrong with the scientific method? The New Yorker. (December 13, 2010):52. Abstract
[Anonymous].  2013.  Unreliable research: Trouble at the lab. The Economist. Abstract