Home

Biblio

Export 85 results:
Sort by: [ Author (Asc)] Keyword Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
K
Keahey, K, Desprez F.  2012.  Supporting Experimental Computer Science. 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
L
Lea, D, Bacon DF, Grove D.  2008.  Languages and performance engineering: method, instrumentation, and pedagogy. SIGPLAN Not.. 43:87–92. Abstract
Lehrer, J.  2010.  The Truth Wears Off: Is there something wrong with the scientific method? The New Yorker. (December 13, 2010):52. Abstract
Lilja, DJ.  2005.  Measuring Computer Performance: A Practitioner's Guide.
Liskov, B.  1992.  Report on Workshop on Research in Experimental Computer Science. :49. Abstract
M
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
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
Matthews, J N.  2004.  The case for repeated research in operating systems. SIGOPS Oper. Syst. Rev.. 38:5–7. Abstract
L
Liskov, B.  1992.  Report on Workshop on Research in Experimental Computer Science. :49. Abstract
M
Mitzenmacher, M.  2015.  Theory Without Experiments: Have We Gone Too Far? Commun. ACM. 58:40–42. 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.
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
N
Norvig, P.  2012.  Warning Signs in Experimental Design and Interpretation. 2012 Abstract
O
Oreskes, N.  2014.  Why we should trust scientists. Abstract
P
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
Pieterse, V, Flater D.  2014.  The ghost in the machine: don't let it haunt your software performance measurements.
Planck, M.  1949.  The meaning and limits of exact science. Science. 110
Popper, K.  1959.  The Logic of Scientific Discovery.
Prechelt, L.  1997.  Why We Need an Explicit Forum for Negative Results. Journal of Universal Computer Science. 3:1074–1083. Abstract
R
Robertson, J.  2011.  Stats: We're Doing It Wrong. BLOG@CACM. Abstract
S
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
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