Biblio

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progress.
Prechelt, L.  1997.  Why We Need an Explicit Forum for Negative Results. Journal of Universal Computer Science. 3:1074–1083. Abstract
programming languages curriculum
programming language research
Hanenberg, S.  2010.  Faith, hope, and love: an essay on software science's neglect of human factors. Proceedings of the ACM international conference on Object oriented programming systems languages and applications. :933–946. Abstract
professionals
Sj"berg, DIK, Anda B, Arisholm E, Dyb{\aa} T, J"rgensen M, Karahasanovic A, Koren EF, Vokác M.  2002.  Conducting Realistic Experiments in Software Engineering. Proceedings of the 2002 International Symposium on Empirical Software Engineering. :17–. Abstract
performance objectives
performance evaluation
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
Georges, A, Eeckhout L, Buytaert D.  2008.  Java performance evaluation through rigorous replay compilation. Proceedings of the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications. :367–384. 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
Performance
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
parallel job scheduling
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
parallel computing
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
Bailey, DH.  2009.  Misleading performance claims in parallel computations. Proceedings of the 46th Annual Design Automation Conference. :528–533. Abstract