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Continuous Integration (CI) significantly reduces integration problems, speeds up development time, and shortens release time.
V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu, “Asynchronous methods for deep reinforcement learning,” in International conference on machine learning , 2016, pp. 1928–1937
1937
Earlier work this paper cites.
B. L. Welch, “The generalization ofstudent’s’ problem when several different population variances are involved,” Biometrika , vol. 34, no. 1/2, pp. 28–35, 1947
1947
Earlier work this paper cites.
P. A. Games and J. F. Howell, “Pairwise multiple comparison procedures with unequal n’s and/or variances: a monte carlo study,” Journal of Educational Statistics , vol. 1, no. 2, pp. 113–125, 1976
1976
Earlier work this paper cites.
C. J. Watkins and P. Dayan, “Q-learning,” Machine learning , vol. 8, no. 3-4, pp. 279–292, 1992
1992
Earlier work this paper cites.
R. J. Williams, “Simple statistical gradient-following algorithms for connectionist reinforcement learning,” Machine learning , vol. 8, no. 3-4, pp. 229–256, 1992
1992
Earlier work this paper cites.
K. O. McGraw and S. P. Wong, “A common language effect size statistic.” Psychological bulletin , vol. 111, no. 2, p. 361, 1992
1992
Earlier work this paper cites.
D. E. Knuth, The art of computer programming: Volume 3: Sorting and Searching . Addison-Wesley Professional, 1998
1998
Earlier work this paper cites.
G. Rothermel, R. H. Untch, C. Chu, and M. J. Harrold, “Test case prioritization: An empirical study,” in Proceedings IEEE International Conference on Software Maintenance-1999 (ICSM’99).’Software Maintenance for Business Change’(Cat. No. 99CB36360) , 1999, pp. 179–188
1999
Earlier work this paper cites.
V. R. Konda and J. N. Tsitsiklis, “Actor-critic algorithms,” in Advances in neural information processing systems , 2000, pp. 1008–1014
2000
Earlier work this paper cites.
D. Precup, “Eligibility traces for off-policy policy evaluation,” Computer Science Department Faculty Publication Series , p. 80, 2000
2000
Earlier work this paper cites.
D. L. Donoho et al. , “High-dimensional data analysis: The curses and blessings of dimensionality,” AMS math challenges lecture , vol. 1, no. 2000, p. 32, 2000
2000
Earlier work this paper cites.
G. Rothermel, R. H. Untch, C. Chu, and M. J. Harrold, “Prioritizing test cases for regression testing,” IEEE Transactions on software engineering , vol. 27, no. 10, pp. 929–948, 2001
2001
Earlier work this paper cites.
J.-M. Kim and A. Porter, “A history-based test prioritization technique for regression testing in resource constrained environments,” in Proceedings of the 24th international conference on software engineering , 2002, pp. 119–129
2002
Earlier work this paper cites.
J. A. Jones and M. J. Harrold, “Test-suite reduction and prioritization for modified condition/decision coverage,” IEEE Transactions on software Engineering , vol. 29, no. 3, pp. 195–209, 2003
2003
Earlier work this paper cites.
B. Korel, L. H. Tahat, and M. Harman, “Test prioritization using system models,” in 21st IEEE International Conference on Software Maintenance (ICSM’05) , 2005, pp. 559–568
2005
Earlier work this paper cites.
H. Srikanth, L. Williams, and J. Osborne, “System test case prioritization of new and regression test cases,” in 2005 International Symposium on Empirical Software Engineering, 2005. IEEE, 2005, pp. 10–pp
2005
Earlier work this paper cites.
H. Srikanth and L. Williams, “On the economics of requirements-based test case prioritization,” ACM SIGSOFT Software Engineering Notes , vol. 30, no. 4, pp. 1–3, 2005
2005
Earlier work this paper cites.
2006
Earlier work this paper cites.
D. Jeffrey and N. Gupta, “Test case prioritization using relevant slices,” in 30th Annual International Computer Software and Applications Conference (COMPSAC’06) , vol. 1. IEEE, 2006, pp. 411–420
2006
Earlier work this paper cites.
P. Tonella, P. Avesani, and A. Susi, “Using the case-based ranking methodology for test case prioritization,” in 2006 22nd IEEE International Conference on Software Maintenance , 2006, pp. 123–133
2006
Earlier work this paper cites.
H. Do and G. Rothermel, “On the use of mutation faults in empirical assessments of test case prioritization techniques,” IEEE Transactions on Software Engineering , vol. 32, no. 9, pp. 733–752, 2006
2006
Earlier work this paper cites.
P. M. Duvall, S. Matyas, and A. Glover, Continuous integration: improving software quality and reducing risk . Pearson Education, 2007
2007
Earlier work this paper cites.
H. Park, H. Ryu, and J. Baik, “Historical value-based approach for cost-cognizant test case prioritization to improve the effectiveness of regression testing,” in 2008 Second International Conference on Secure System Integration and Reliability Improvement , 2008, pp. 39–46
2008
Earlier work this paper cites.
Y. Fazlalizadeh, A. Khalilian, M. A. Azgomi, and S. Parsa, “Incorporating historical test case performance data and resource constraints into test case prioritization,” in International Conference on Tests and Proofs , 2009, pp. 43–57
2009
Earlier work this paper cites.
B. Korel and G. Koutsogiannakis, “Experimental comparison of code-based and model-based test prioritization,” in 2009 International Conference on Software Testing, Verification, and Validation Workshops , 2009, pp. 77–84
2009
Earlier work this paper cites.
J. Humble and D. Farley, Continuous delivery: reliable software releases through build, test, and deployment automation . Pearson Education, 2010
2010
Earlier work this paper cites.
C. J. Burges, “From ranknet to lambdarank to lambdamart: An overview,” Learning , vol. 11, no. 23-581, p. 81, 2010
2010
Cited alongside, same era.
H. Li, “Learning to rank for information retrieval and natural language processing,” Synthesis Lectures on Human Language Technologies , vol. 4, no. 1, pp. 1–113, 2011
2011
Cited alongside, same era.
R. Carlson, H. Do, and A. Denton, “A clustering approach to improving test case prioritization: An industrial case study.” in ICSM , vol. 11, 2011, pp. 382–391
2011
Cited alongside, same era.
C. Kang, X. Wang, J. Chen, C. Liao, Y. Chang, B. Tseng, and Z. Zheng, “Learning to re-rank web search results with multiple pairwise features,” in Proceedings of the fourth ACM international conference on Web search and data mining , 2011, pp. 735–744
2011
Cited alongside, same era.
2017
Later among the works it cites.
D. Suleiman, M. Alian, and A. Hudaib, “A survey on prioritization regression testing test case,” in 2017 8th International Conference on Information Technology (ICIT) , 2017, pp. 854–862
2017
Later among the works it cites.
A. Memon, Z. Gao, B. Nguyen, S. Dhanda, E. Nickell, R. Siemborski, and J. Micco, “Taming google-scale continuous testing,” in 2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP) . IEEE, 2017, pp. 233–242
2017
Later among the works it cites.
M. Beller, G. Gousios, and A. Zaidman, “Oops, my tests broke the build: An explorative analysis of travis ci with github,” in 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR) . IEEE, 2017, pp. 356–367
2017
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alphaXiv is searching for related work…
2012
Cited alongside, same era.
L. Tahat, B. Korel, M. Harman, and H. Ural, “Regression test suite prioritization using system models,” Software Testing, Verification and Reliability , vol. 22, no. 7, pp. 481–506, 2012
2012
Cited alongside, same era.
2013
Cited alongside, same era.
D. Marijan, A. Gotlieb, and S. Sen, “Test case prioritization for continuous regression testing: An industrial case study,” in 2013 IEEE International Conference on Software Maintenance , 2013, pp. 540–543
2013
Cited alongside, same era.
A. R. Lenz, A. Pozo, and S. R. Vergilio, “Linking software testing results with a machine learning approach,” Engineering Applications of Artificial Intelligence , vol. 26, no. 5-6, pp. 1631–1640, 2013
2013
Cited alongside, same era.
S. Elbaum, G. Rothermel, and J. Penix, “Techniques for improving regression testing in continuous integration development environments,” in Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering , 2014, pp. 235–245
2014
Cited alongside, same era.
S. Varrette, P. Bouvry, H. Cartiaux, and F. Georgatos, “Management of an academic HPC cluster: The UL experience,” in Proc. of the 2014 Intl. Conf. on High Performance Computing & Simulation (HPCS 2014) . Bologna, Italy: IEEE, July 2014, pp. 959–967
2014
Cited alongside, same era.
H.-Y. Kim, “Analysis of variance (anova) comparing means of more than two groups,” Restorative dentistry & endodontics , vol. 39, no. 1, pp. 74–77, 2014
2014
Cited alongside, same era.
Later among the works it cites.
2017
Later among the works it cites.
D. Silver, T. Hubert, J. Schrittwieser, I. Antonoglou, M. Lai, A. Guez, M. Lanctot, L. Sifre, D. Kumaran, T. Graepel et al. , “A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,” Science , vol. 362, no. 6419, pp. 1140–1144, 2018
2018
Later among the works it cites.
X. Zhao, L. Zhang, Z. Ding, L. Xia, J. Tang, and D. Yin, “Recommendations with negative feedback via pairwise deep reinforcement learning,” in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , 2018, pp. 1040–1048
2018
Later among the works it cites.
A. Hill, A. Raffin, M. Ernestus, A. Gleave, A. Kanervisto, R. Traore, P. Dhariwal, C. Hesse, O. Klimov, A. Nichol, M. Plappert, A. Radford, J. Schulman, S. Sidor, and Y. Wu, “Stable baselines,” https://github.com/hill-a/stable-baselines , 2018
2018
Later among the works it cites.
R. S. Sutton and A. G. Barto, Reinforcement learning: An introduction . MIT press, 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
2018
Later among the works it cites.
M. Khatibsyarbini, M. A. Isa, D. N. Jawawi, and R. Tumeng, “Test case prioritization approaches in regression testing: A systematic literature review,” Information and Software Technology , vol. 93, pp. 74–93, 2018
2018
Later among the works it cites.
G. Weisz, P. Budzianowski, P.-H. Su, and M. Gašić, “Sample efficient deep reinforcement learning for dialogue systems with large action spaces,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 26, no. 11, pp. 2083–2097, 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
Q. Luo, K. Moran, D. Poshyvanyk, and M. Di Penta, “Assessing test case prioritization on real faults and mutants,” in 2018 IEEE international conference on software maintenance and evolution (ICSME) . IEEE, 2018, pp. 240–251
2018
Later among the works it cites.
C. Zhang, Y. Zhang, X. Shi, G. Almpanidis, G. Fan, and X. Shen, “On incremental learning for gradient boosting decision trees,” Neural Processing Letters , vol. 50, no. 1, pp. 957–987, 2019
2019
Later among the works it cites.
V. H. Durelli, R. S. Durelli, S. S. Borges, A. T. Endo, M. M. Eler, D. R. Dias, and M. P. Guimaraes, “Machine learning applied to software testing: A systematic mapping study,” IEEE Transactions on Reliability , vol. 68, no. 3, pp. 1189–1212, 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
T. Akiba, S. Sano, T. Yanase, T. Ohta, and M. Koyama, “Optuna: A next-generation hyperparameter optimization framework,” in Proceedings of the 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , 2019
2019
Later among the works it cites.
A. Bertolino, A. Guerriero, B. Miranda, R. Pietrantuono, and S. Russo, “Learning-to-rank vs ranking-to-learn: Strategies for regression testing in continuous integration,” in In 42nd International Conference on Software Engineering (ICSE) , 2020
2020
Closest in time.
Scientific Toolworks, Inc., “Understand™,” https://www.scitools.com/ , 2020, retrieved October 14, 2020
2020
Closest in time.
L. Sui, J. Dietrich, A. Tahir, and G. Fourtounis, “On the recall of static call graph construction in practice,” in 2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE) . IEEE, 2020, pp. 1049–1060
2020
Closest in time.
J. A. P. Lima, W. D. Mendonça, S. R. Vergilio, and W. K. Assunção, “Learning-based prioritization of test cases in continuous integration of highly-configurable software,” in Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A-Volume A , 2020, pp. 1–11
2020
Closest in time.
J. A. do Prado Lima and S. R. Vergilio, “A multi-armed bandit approach for test case prioritization in continuous integration environments,” IEEE Transactions on Software Engineering , 2020
2020
Closest in time.
“Gym library,” https://github.com/openai/gym , 2020
2020
Closest in time.
“Ranklib,” https://sourceforge.net/p/lemur/wiki/RankLib/ , 2020
2020
Closest in time.