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DaCapo
Kalibera, T, Jones R.  2013.  Rigorous Benchmarking in Reasonable Time. Proceedings of the 2013 International Symposium on Memory Management. :63–74. Abstract
Blackburn, SM, Garner R, Hoffmann C, Khang AM, McKinley KS, Bentzur R, Diwan A, Feinberg D, Frampton D, Guyer SZ et al..  2006.  The DaCapo benchmarks: java benchmarking development and analysis. OOPSLA '06: Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications. :169–190. Abstract
data analysis
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
Georges, A, Buytaert D, Eeckhout L.  2007.  Statistically rigorous java performance evaluation. OOPSLA '07: Proceedings of the 22nd annual ACM SIGPLAN conference on Object-oriented programming systems and applications. :57–76. Abstract
Data sets
Delling, D, Demetrescu C, Johnson DS, Vitek J.  2016.  Rethinking Experimental Methods in Computing (Dagstuhl Seminar 16111). Dagstuhl Reports. 6:24–43. Abstract
Decline Effect
Lehrer, J.  2010.  The Truth Wears Off: Is there something wrong with the scientific method? The New Yorker. (December 13, 2010):52. Abstract
dynamic workload
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