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2017
Allen, A, Aragon C, Becker C, Carver J, Chis A, Combemale B, Croucher M, Crowston K, Garijo D, Gehani A et al..  2017.  Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). Dagstuhl Manifestos. 6:1–20. Abstract
2016
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
Delling, D, Demetrescu C, Johnson DS, Vitek J.  2016.  Rethinking Experimental Methods in Computing (Dagstuhl Seminar 16111). Dagstuhl Reports. 6:24–43. Abstract
Childers, BR, Fursin G, Krishnamurthi S, Zeller A.  2016.  Artifact Evaluation for Publications (Dagstuhl Perspectives Workshop 15452). Dagstuhl Reports. 5:29–35. Abstract
2015
Curtsinger, C, Berger ED.  2015.  Coz: Finding Code That Counts with Causal Profiling. Proceedings of the 25th Symposium on Operating Systems Principles. :184–197. 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
Hoefler, T, Belli R.  2015.  Scientific Benchmarking of Parallel Computing Systems: Twelve Ways to Tell the Masses when Reporting Performance Results. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. :73:1–73:12. Abstract
Mitzenmacher, M.  2015.  Theory Without Experiments: Have We Gone Too Far? Commun. ACM. 58:40–42. Abstract
2014
Pieterse, V, Flater D.  2014.  The ghost in the machine: don't let it haunt your software performance measurements.
Atmanspacher, H, Lambert BL, Folkers G, Schubiger PA.  2014.  Relevance relations for the concept of reproducibility. J. R. Soc. Interface. 11(94) Abstract
Oreskes, N.  2014.  Why we should trust scientists. Abstract
2013
[Anonymous].  2013.  Unreliable research: Trouble at the lab. The Economist. Abstract
Kalibera, T, Jones R.  2013.  Rigorous Benchmarking in Reasonable Time. Proceedings of the 2013 International Symposium on Memory Management. :63–74. Abstract
Curtsinger, C, Berger ED.  2013.  STABILIZER: Statistically Sound Performance Evaluation. Proceedings of the Eighteenth International Conference on Architectural Support for Programming Languages and Operating Systems. :219–228. Abstract
2012
Baker, M.  2012.  Independent labs to verify high-profile papers. Nature | News. Abstract
Andujar, C, Schiaffonati V, Schreiber FA, Tanca L, Tedre M, van Hee K, van Leeuwen J.  2012.  The Role and Relevance of Experimentation in Informatics. 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
Begley, S.  2012.  More trial, less error - An effort to improve scientific studies. Reuters. Abstract
Keahey, K, Desprez F.  2012.  Supporting Experimental Computer Science. Abstract
Norvig, P.  2012.  Warning Signs in Experimental Design and Interpretation. 2012 Abstract
2011
Tichy, W.  2011.  Empirical software research: an interview with Dag Sjøberg, University of Oslo, Norway. Ubiquity. 2011:2:1–2:14. Abstract
Buse, RPL, Sadowski C, Weimer W.  2011.  Benefits and Barriers of User Evaluation in Software Engineering Research. OOPSLA '11: Proceedings of the ACM international conference on Object oriented programming systems languages and applications. Abstract
Wilson, G, Aranda J.  2011.  Empirical Software Engineering. American Scientist. 99(6) 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
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