Measurement Challenges for Cyber Cyber Digital Twins: Experiences from the Deployment of Facebook's WW Simulation System
暂无分享,去创建一个
Mark Harman | Erik Meijer | Silvia Sapora | Maria Lomeli | Kinga Bojarczuk | Inna Dvortsova | Johann George | Natalija Gucevska | Simon M. M. Lucas | Rubmary Rojas | S. Lucas | M. Harman | Kinga Bojarczuk | Natalija Gucevska | Inna Dvortsova | Erik Meijer | Silvia Sapora | Johann George | M. Lomeli | Rubmary Rojas
[1] Michael Fagan. Design and Code Inspections to Reduce Errors in Program Development , 1976, IBM Syst. J..
[2] Gary James Jason,et al. The Logic of Scientific Discovery , 1988 .
[3] J. Voas,et al. Software Testability: The New Verification , 1995, IEEE Softw..
[4] Clayton L. Hanson,et al. Stochastic Weather Simulation: Overview and Analysis of Two Commonly Used Models , 1996 .
[5] A. Müller. Integral Probability Metrics and Their Generating Classes of Functions , 1997, Advances in Applied Probability.
[6] K. Claessen,et al. QuickCheck: a lightweight tool for random testing of Haskell programs , 2000, ICFP '00.
[7] Prioritizing Test Cases For Regression Testing , 2001, IEEE Trans. Software Eng..
[8] Tsong Yueh Chen,et al. Metamorphic testing of programs on partial differential equations: a case study , 2002, Proceedings 26th Annual International Computer Software and Applications.
[9] Sergio Cavalieri,et al. Simulation in the supply chain context: a survey , 2004, Comput. Ind..
[10] Christopher H. Bryant,et al. Functional genomic hypothesis generation and experimentation by a robot scientist , 2004, Nature.
[11] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[12] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[13] Hans-Peter Kriegel,et al. Integrating structured biological data by Kernel Maximum Mean Discrepancy , 2006, ISMB.
[14] Mark Harman,et al. Search Algorithms for Regression Test Case Prioritization , 2007, IEEE Transactions on Software Engineering.
[15] S. Goodman. A dirty dozen: twelve p-value misconceptions. , 2008, Seminars in hematology.
[16] Joaquín Muñoz-García,et al. A test for the two-sample problem based on empirical characteristic functions , 2008, Comput. Stat. Data Anal..
[17] Mark Harman,et al. Regression Testing Minimisation, Selection and Prioritisation - A Survey , 2009 .
[18] Mark Harman,et al. Search Based Software Engineering: Techniques, Taxonomy, Tutorial , 2010, LASER Summer School.
[19] Mark Harman,et al. Automated web application testing using search based software engineering , 2011, 2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011).
[20] Mark Harman,et al. An Analysis and Survey of the Development of Mutation Testing , 2011, IEEE Transactions on Software Engineering.
[21] Lionel C. Briand,et al. A practical guide for using statistical tests to assess randomized algorithms in software engineering , 2011, 2011 33rd International Conference on Software Engineering (ICSE).
[22] Mark Harman,et al. Regression testing minimization, selection and prioritization: a survey , 2012, Softw. Test. Verification Reliab..
[23] Kenji Fukumizu,et al. Hypothesis testing using pairwise distances and associated kernels , 2012, ICML.
[24] Tracy Hall,et al. A Systematic Literature Review on Fault Prediction Performance in Software Engineering , 2012, IEEE Transactions on Software Engineering.
[25] Alberto Bacchelli,et al. Expectations, outcomes, and challenges of modern code review , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[26] Dror G. Feitelson,et al. Development and Deployment at Facebook , 2013, IEEE Internet Computing.
[27] Myra B. Cohen,et al. Automated testing of GUI applications: Models, tools, and controlling flakiness , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[28] Aiko Fallas Yamashita,et al. Do developers care about code smells? An exploratory survey , 2013, 2013 20th Working Conference on Reverse Engineering (WCRE).
[29] Claire Le Goues,et al. Current challenges in automatic software repair , 2013, Software Quality Journal.
[30] Mark Harman,et al. Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System , 2014, SSBSE.
[31] Darko Marinov,et al. An empirical analysis of flaky tests , 2014, SIGSOFT FSE.
[32] Mark Harman,et al. An analysis of the relationship between conditional entropy and failed error propagation in software testing , 2014, ICSE.
[33] Hussein Zedan,et al. A comprehensive survey on vehicular Ad Hoc network , 2014, J. Netw. Comput. Appl..
[34] Lionel C. Briand,et al. A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering , 2014, Softw. Test. Verification Reliab..
[35] Mark Harman,et al. The Oracle Problem in Software Testing: A Survey , 2015, IEEE Transactions on Software Engineering.
[36] Mark Harman,et al. Automated software transplantation , 2015, ISSTA.
[37] Fan Wu,et al. Mutation-aware fault prediction , 2016, ISSTA.
[38] Margaret-Anne D. Storey,et al. Disrupting developer productivity one bot at a time , 2016, SIGSOFT FSE.
[39] Luke Church,et al. Modern Code Review: A Case Study at Google , 2017, 2018 IEEE/ACM 40th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP).
[40] Simon Urli,et al. How to Design a Program Repair Bot? Insights from the Repairnator Project , 2017, 2018 IEEE/ACM 40th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP).
[41] Miryung Kim,et al. Automated Transplantation and Differential Testing for Clones , 2017, 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE).
[42] David Lopez-Paz,et al. Revisiting Classifier Two-Sample Tests , 2016, ICLR.
[43] John Micco,et al. Taming Google-Scale Continuous Testing , 2017, 2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP).
[44] Ron Kohavi,et al. Online Controlled Experiments and A/B Testing , 2017, Encyclopedia of Machine Learning and Data Mining.
[45] Peter W. O'Hearn,et al. From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis , 2018, 2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM).
[46] Mark Harman,et al. Genetic Improvement of Software: A Comprehensive Survey , 2018, IEEE Transactions on Evolutionary Computation.
[47] Zoubin Ghahramani,et al. The Automatic Statistician , 2019, Automated Machine Learning.
[48] Mark Harman,et al. SapFix: Automated End-to-End Repair at Scale , 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).
[49] Ralf Lämmel,et al. WES: Agent-based User Interaction Simulation on Real Infrastructure , 2020, ICSE.
[50] D. Adam. Special report: The simulations driving the world’s response to COVID-19 , 2020, Nature.
[51] Qingtang Jiang,et al. Two‐sample test based on classification probability , 2019, Stat. Anal. Data Min..
[52] Mark Harman,et al. Testing Web Enabled Simulation at Scale Using Metamorphic Testing , 2021, 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).
[53] Larry A. Wasserman,et al. Classification Accuracy as a Proxy for Two Sample Testing , 2016, The Annals of Statistics.
[54] E. Meijer,et al. Facebook’s Cyber–Cyber and Cyber–Physical Digital Twins , 2021, EASE.
[55] Xing Qiu,et al. Hypothesis Testing for Two Sample Comparison of Network Data , 2021, 2106.13931.