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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.
Drummond, C.  2009.  Replicability in not Reproducibility: Nor is it Good Science. The 4th workshop on Evaluation Methods for Machine Learning. Abstract
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
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
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
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
Atmanspacher, H, Lambert BL, Folkers G, Schubiger PA.  2014.  Relevance relations for the concept of reproducibility. J. R. Soc. Interface. 11(94) Abstract
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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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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
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
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
Frachtenberg, E, Feitelson DG.  2005.  Pitfalls in parallel job scheduling evaluation. Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing. :257–282. Abstract
Dittrich, J.  2010.  Paper Bricks: An Alternative to Complete-Story Peer Reviewing. SIGMOD Record. 39(4) Abstract
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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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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
Begley, S.  2012.  More trial, less error - An effort to improve scientific studies. Reuters. Abstract
Bachmann, A, Bird C, Rahman F, Devanbu P, Bernstein A.  2010.  The missing links: bugs and bug-fix commits. Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering. :97–106. Abstract
Bailey, DH.  1992.  Misleading Performance Reporting in the Supercomputing Field. Sci. Program.. 1:141–151. Abstract
Bailey, DH.  2009.  Misleading performance claims in parallel computations. Proceedings of the 46th Annual Design Automation Conference. :528–533. Abstract
Gil, J Y, Lenz K, Shimron Y.  2011.  A microbenchmark case study and lessons learned. Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE!'11, AOOPES'11, NEAT'11, &\#38; VMIL'11. :297–308. Abstract
Lilja, DJ.  2005.  Measuring Computer Performance: A Practitioner's Guide.
Planck, M.  1949.  The meaning and limits of exact science. Science. 110
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Popper, K.  1959.  The Logic of Scientific Discovery.
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
Lea, D, Bacon DF, Grove D.  2008.  Languages and performance engineering: method, instrumentation, and pedagogy. SIGPLAN Not.. 43:87–92. Abstract