skip to main content
research-article
Open access

Complexity-guided container replacement synthesis

Published: 29 April 2022 Publication History

Abstract

Containers, such as lists and maps, are fundamental data structures in modern programming languages. However, improper choice of container types may lead to significant performance issues. This paper presents Cres, an approach that automatically synthesizes container replacements to improve runtime performance. The synthesis algorithm works with static analysis techniques to identify how containers are utilized in the program, and attempts to select a method with lower time complexity for each container method call. Our approach can preserve program behavior and seize the opportunity of reducing execution time effectively for general inputs. We implement Cres and evaluate it on 12 real-world Java projects. It is shown that Cres synthesizes container replacements for the projects with 384.2 KLoC in 14 minutes and discovers six categories of container replacements, which can achieve an average performance improvement of 8.1%.

References

[1]
Rajeev Alur, Rastislav Bodík, Garvit Juniwal, Milo M. K. Martin, Mukund Raghothaman, Sanjit A. Seshia, Rishabh Singh, Armando Solar-Lezama, Emina Torlak, and Abhishek Udupa. 2013. Syntax-guided synthesis. In Formal Methods in Computer-Aided Design, FMCAD 2013, Portland, OR, USA, October 20-23, 2013. IEEE, 1–8. https://ieeexplore.ieee.org/document/6679385/
[2]
Andrea Arcuri and Lionel C. Briand. 2011. A practical guide for using statistical tests to assess randomized algorithms in software engineering. In Proceedings of the 33rd International Conference on Software Engineering, ICSE 2011, Waikiki, Honolulu, HI, USA, May 21-28, 2011, Richard N. Taylor, Harald C. Gall, and Nenad Medvidovic (Eds.). ACM, 1–10. https://doi.org/10.1145/1985793.1985795
[3]
Steven Arzt, Siegfried Rasthofer, Christian Fritz, Eric Bodden, Alexandre Bartel, Jacques Klein, Yves Le Traon, Damien Octeau, and Patrick D. McDaniel. 2014. FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps. In ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI ’14, Edinburgh, United Kingdom - June 09 - 11, 2014, Michael F. P. O’Boyle and Keshav Pingali (Eds.). ACM, 259–269. https://doi.org/10.1145/2594291.2594299
[4]
Michail Basios, Lingbo Li, Fan Wu, Leslie Kanthan, and Earl T Barr. 2018. Darwinian data structure selection. In Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 118–128.
[5]
Osbert Bastani, Rahul Sharma, Alex Aiken, and Percy Liang. 2018. Active learning of points-to specifications. In Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2018, Philadelphia, PA, USA, June 18-22, 2018, Jeffrey S. Foster and Dan Grossman (Eds.). ACM, 678–692. https://doi.org/10.1145/3192366.3192383
[6]
Bor-Yuh Evan Chang, Cezara Dragoi, Roman Manevich, Noam Rinetzky, and Xavier Rival. 2020. Shape Analysis. Found. Trends Program. Lang., 6, 1-2 (2020), 1–158. https://doi.org/10.1561/2500000037
[7]
David R. Chase, Mark N. Wegman, and F. Kenneth Zadeck. 1990. Analysis of Pointers and Structures. In Proceedings of the ACM SIGPLAN’90 Conference on Programming Language Design and Implementation (PLDI), White Plains, New York, USA, June 20-22, 1990, Bernard N. Fischer (Ed.). ACM, 296–310. https://doi.org/10.1145/93542.93585
[8]
Alvin Cheung, Armando Solar-Lezama, and Samuel Madden. 2013. Optimizing database-backed applications with query synthesis. In ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI ’13, Seattle, WA, USA, June 16-19, 2013, Hans-Juergen Boehm and Cormac Flanagan (Eds.). ACM, 3–14. https://doi.org/10.1145/2491956.2462180
[9]
Cres. 2021. Report of container replacement synthesis. http://list.megatron-report.com
[10]
Jan Eberhardt, Samuel Steffen, Veselin Raychev, and Martin T. Vechev. 2019. Unsupervised learning of API aliasing specifications. In Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2019, Phoenix, AZ, USA, June 22-26, 2019, Kathryn S. McKinley and Kathleen Fisher (Eds.). ACM, 745–759. https://doi.org/10.1145/3314221.3314640
[11]
Michael P Fay and Michael A Proschan. 2010. Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. Statistics surveys, 4 (2010), 1.
[12]
Tomás Fiedor, Lukás Holík, Adam Rogalewicz, Moritz Sinn, Tomás Vojnar, and Florian Zuleger. 2018. From Shapes to Amortized Complexity. In Verification, Model Checking, and Abstract Interpretation - 19th International Conference, VMCAI 2018, Los Angeles, CA, USA, January 7-9, 2018, Proceedings, Isil Dillig and Jens Palsberg (Eds.) (Lecture Notes in Computer Science, Vol. 10747). Springer, 205–225. https://doi.org/10.1007/978-3-319-73721-8_10
[13]
Sumit Gulwani, Sagar Jain, and Eric Koskinen. 2009. Control-flow refinement and progress invariants for bound analysis. In Proceedings of the 2009 ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2009, Dublin, Ireland, June 15-21, 2009, Michael Hind and Amer Diwan (Eds.). ACM, 375–385. https://doi.org/10.1145/1542476.1542518
[14]
Sumit Gulwani, Susmit Jha, Ashish Tiwari, and Ramarathnam Venkatesan. 2011. Synthesis of loop-free programs. In Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2011, San Jose, CA, USA, June 4-8, 2011, Mary W. Hall and David A. Padua (Eds.). ACM, 62–73. https://doi.org/10.1145/1993498.1993506
[15]
Sumit Gulwani, Tal Lev-Ami, and Mooly Sagiv. 2009. A combination framework for tracking partition sizes. In Proceedings of the 36th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, POPL 2009, Savannah, GA, USA, January 21-23, 2009, Zhong Shao and Benjamin C. Pierce (Eds.). ACM, 239–251. https://doi.org/10.1145/1480881.1480912
[16]
Sumit Gulwani, Krishna K. Mehra, and Trishul M. Chilimbi. 2009. SPEED: precise and efficient static estimation of program computational complexity. In Proceedings of the 36th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, POPL 2009, Savannah, GA, USA, January 21-23, 2009, Zhong Shao and Benjamin C. Pierce (Eds.). ACM, 127–139. https://doi.org/10.1145/1480881.1480898
[17]
Samir Hasan, Zachary King, Munawar Hafiz, Mohammed Sayagh, Bram Adams, and Abram Hindle. 2016. Energy profiles of Java collections classes. In Proceedings of the 38th International Conference on Software Engineering, ICSE 2016, Austin, TX, USA, May 14-22, 2016, Laura K. Dillon, Willem Visser, and Laurie A. Williams (Eds.). ACM, 225–236. https://doi.org/10.1145/2884781.2884869
[18]
Peter Hawkins, Alex Aiken, Kathleen Fisher, Martin C. Rinard, and Mooly Sagiv. 2011. Data representation synthesis. In Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2011, San Jose, CA, USA, June 4-8, 2011, Mary W. Hall and David A. Padua (Eds.). ACM, 38–49. https://doi.org/10.1145/1993498.1993504
[19]
Peter Hawkins, Alex Aiken, Kathleen Fisher, Martin C. Rinard, and Mooly Sagiv. 2012. Concurrent data representation synthesis. In ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI ’12, Beijing, China - June 11 - 16, 2012, Jan Vitek, Haibo Lin, and Frank Tip (Eds.). ACM, 417–428. https://doi.org/10.1145/2254064.2254114
[20]
Stratos Idreos, Kostas Zoumpatianos, Brian Hentschel, Michael S. Kester, and Demi Guo. 2018. The Data Calculator: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models. In Proceedings of the 2018 International Conference on Management of Data, SIGMOD Conference 2018, Houston, TX, USA, June 10-15, 2018, Gautam Das, Christopher M. Jermaine, and Philip A. Bernstein (Eds.). ACM, 535–550. https://doi.org/10.1145/3183713.3199671
[21]
Guoliang Jin, Linhai Song, Xiaoming Shi, Joel Scherpelz, and Shan Lu. 2012. Understanding and detecting real-world performance bugs. In ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI ’12, Beijing, China - June 11 - 16, 2012, Jan Vitek, Haibo Lin, and Frank Tip (Eds.). ACM, 77–88. https://doi.org/10.1145/2254064.2254075
[22]
Changhee Jung, Silvius Rus, Brian P Railing, Nathan Clark, and Santosh Pande. 2011. Brainy: Effective selection of data structures. ACM SIGPLAN Notices, 46, 6 (2011), 86–97.
[23]
Vini Kanvar and Uday P. Khedker. 2016. Heap Abstractions for Static Analysis. ACM Comput. Surv., 49, 2 (2016), 29:1–29:47. https://doi.org/10.1145/2931098
[24]
Oliver Kennedy and Lukasz Ziarek. 2015. Just-In-Time Data Structures. In Seventh Biennial Conference on Innovative Data Systems Research, CIDR 2015, Asilomar, CA, USA, January 4-7, 2015, Online Proceedings. www.cidrdb.org. http://cidrdb.org/cidr2015/Papers/CIDR15_Paper9.pdf
[25]
Deokhwan Kim and Martin C. Rinard. 2011. Verification of semantic commutativity conditions and inverse operations on linked data structures. In Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2011, San Jose, CA, USA, June 4-8, 2011, Mary W. Hall and David A. Padua (Eds.). ACM, 528–541. https://doi.org/10.1145/1993498.1993561
[26]
Chris Lattner and Vikram S. Adve. 2004. LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation. In 2nd IEEE / ACM International Symposium on Code Generation and Optimization (CGO 2004), 20-24 March 2004, San Jose, CA, USA. IEEE Computer Society, 75–88. https://doi.org/10.1109/CGO.2004.1281665
[27]
Caroline Lemieux, Rohan Padhye, Koushik Sen, and Dawn Song. 2018. PerfFuzz: automatically generating pathological inputs. In Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2018, Amsterdam, The Netherlands, July 16-21, 2018, Frank Tip and Eric Bodden (Eds.). ACM, 254–265. https://doi.org/10.1145/3213846.3213874
[28]
Lian Li, Cristina Cifuentes, and Nathan Keynes. 2011. Boosting the performance of flow-sensitive points-to analysis using value flow. In SIGSOFT/FSE’11 19th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-19) and ESEC’11: 13th European Software Engineering Conference (ESEC-13), Szeged, Hungary, September 5-9, 2011, Tibor Gyimóthy and Andreas Zeller (Eds.). ACM, 343–353. https://doi.org/10.1145/2025113.2025160
[29]
Calvin Loncaric, Emina Torlak, and Michael D. Ernst. 2016. Fast synthesis of fast collections. In Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2016, Santa Barbara, CA, USA, June 13-17, 2016, Chandra Krintz and Emery Berger (Eds.). ACM, 355–368. https://doi.org/10.1145/2908080.2908122
[30]
Tianhan Lu, Bor-Yuh Evan Chang, and Ashutosh Trivedi. 2021. Selectively-Amortized Resource Bounding. In Static Analysis - 28th International Symposium, SAS 2021, Chicago, IL, USA, October 17-19, 2021, Proceedings, Cezara Dragoi, Suvam Mukherjee, and Kedar S. Namjoshi (Eds.) (Lecture Notes in Computer Science, Vol. 12913). Springer, 286–307. https://doi.org/10.1007/978-3-030-88806-0_14
[31]
Irene Manotas, Lori Pollock, and James Clause. 2014. Seeds: A software engineer’s energy-optimization decision support framework. In Proceedings of the 36th International Conference on Software Engineering. 503–514.
[32]
Rashmi Mudduluru and Murali Krishna Ramanathan. 2016. Efficient flow profiling for detecting performance bugs. In Proceedings of the 25th International Symposium on Software Testing and Analysis, ISSTA 2016, Saarbrücken, Germany, July 18-20, 2016, Andreas Zeller and Abhik Roychoudhury (Eds.). ACM, 413–424. https://doi.org/10.1145/2931037.2931066
[33]
Rocco De Nicola. 2011. Behavioral Equivalences. In Encyclopedia of Parallel Computing, David A. Padua (Ed.). Springer, 120–127. https://doi.org/10.1007/978-0-387-09766-4_517
[34]
Wellington Oliveira, Renato Oliveira, Fernando Castor, Benito Fernandes, and Gustavo Pinto. 2019. Recommending energy-efficient Java collections. In Proceedings of the 16th International Conference on Mining Software Repositories, MSR 2019, 26-27 May 2019, Montreal, Canada, Margaret-Anne D. Storey, Bram Adams, and Sonia Haiduc (Eds.). IEEE / ACM, 160–170. https://doi.org/10.1109/MSR.2019.00033
[35]
Wellington Oliveira, Renato Oliveira, Fernando Castor, Gustavo Pinto, and João Paulo Fernandes. 2021. Improving energy-efficiency by recommending Java collections. Empir. Softw. Eng., 26, 3 (2021), 55. https://doi.org/10.1007/s10664-021-09950-y
[36]
Oswaldo Olivo, Isil Dillig, and Calvin Lin. 2015. Static detection of asymptotic performance bugs in collection traversals. In Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, Portland, OR, USA, June 15-17, 2015, David Grove and Stephen M. Blackburn (Eds.). ACM, 369–378. https://doi.org/10.1145/2737924.2737966
[37]
Shankara Pailoor, Yuepeng Wang, Xinyu Wang, and Isil Dillig. 2021. Synthesizing data structure refinements from integrity constraints. In PLDI ’21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Virtual Event, Canada, June 20-25, 20211, Stephen N. Freund and Eran Yahav (Eds.). ACM, 574–587. https://doi.org/10.1145/3453483.3454063
[38]
Theofilos Petsios, Jason Zhao, Angelos D. Keromytis, and Suman Jana. 2017. SlowFuzz: Automated Domain-Independent Detection of Algorithmic Complexity Vulnerabilities. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, Dallas, TX, USA, October 30 - November 03, 2017, Bhavani M. Thuraisingham, David Evans, Tal Malkin, and Dongyan Xu (Eds.). ACM, 2155–2168. https://doi.org/10.1145/3133956.3134073
[39]
Thomas W. Reps, Mooly Sagiv, and Reinhard Wilhelm. 2007. Shape Analysis and Applications. In The Compiler Design Handbook: Optimizations and Machine Code Generation, Second Edition, Y. N. Srikant and Priti Shankar (Eds.). CRC Press, 12.
[40]
Shmuel Sagiv, Thomas W. Reps, and Reinhard Wilhelm. 2002. Parametric shape analysis via 3-valued logic. ACM Trans. Program. Lang. Syst., 24, 3 (2002), 217–298. https://doi.org/10.1145/514188.514190
[41]
Malavika Samak, Deokhwan Kim, and Martin C. Rinard. 2020. Synthesizing replacement classes. Proc. ACM Program. Lang., 4, POPL (2020), 52:1–52:33. https://doi.org/10.1145/3371120
[42]
Ohad Shacham, Martin T. Vechev, and Eran Yahav. 2009. Chameleon: adaptive selection of collections. In Proceedings of the 2009 ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2009, Dublin, Ireland, June 15-21, 2009, Michael Hind and Amer Diwan (Eds.). ACM, 408–418. https://doi.org/10.1145/1542476.1542522
[43]
Qingkai Shi, Xiao Xiao, Rongxin Wu, Jinguo Zhou, Gang Fan, and Charles Zhang. 2018. Pinpoint: fast and precise sparse value flow analysis for million lines of code. In Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2018, Philadelphia, PA, USA, June 18-22, 2018, Jeffrey S. Foster and Dan Grossman (Eds.). ACM, 693–706. https://doi.org/10.1145/3192366.3192418
[44]
Qingkai Shi, Peisen Yao, Rongxin Wu, and Charles Zhang. 2021. Path-sensitive sparse analysis without path conditions. In PLDI ’21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Virtual Event, Canada, June 20-25, 2021, Stephen N. Freund and Eran Yahav (Eds.). ACM, 930–943. https://doi.org/10.1145/3453483.3454086
[45]
Armando Solar-Lezama, Christopher Grant Jones, and Rastislav Bodík. 2008. Sketching concurrent data structures. In Proceedings of the ACM SIGPLAN 2008 Conference on Programming Language Design and Implementation, Tucson, AZ, USA, June 7-13, 2008, Rajiv Gupta and Saman P. Amarasinghe (Eds.). ACM, 136–148. https://doi.org/10.1145/1375581.1375599
[46]
Linhai Song and Shan Lu. 2017. Performance diagnosis for inefficient loops. In Proceedings of the 39th International Conference on Software Engineering, ICSE 2017, Buenos Aires, Argentina, May 20-28, 2017, Sebastián Uchitel, Alessandro Orso, and Martin P. Robillard (Eds.). IEEE / ACM, 370–380. https://doi.org/10.1109/ICSE.2017.41
[47]
Johannes Späth, Lisa Nguyen Quang Do, Karim Ali, and Eric Bodden. 2016. Boomerang: Demand-Driven Flow- and Context-Sensitive Pointer Analysis for Java. In 30th European Conference on Object-Oriented Programming, ECOOP 2016, July 18-22, 2016, Rome, Italy, Shriram Krishnamurthi and Benjamin S. Lerner (Eds.) (LIPIcs, Vol. 56). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 22:1–22:26. https://doi.org/10.4230/LIPIcs.ECOOP.2016.22
[48]
Akhilesh Srikanth, Burak Sahin, and William R. Harris. 2017. Complexity verification using guided theorem enumeration. In Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages, POPL 2017, Paris, France, January 18-20, 2017, Giuseppe Castagna and Andrew D. Gordon (Eds.). ACM, 639–652. https://doi.org/10.1145/3009837.3009864
[49]
Yulei Sui and Jingling Xue. 2016. SVF: interprocedural static value-flow analysis in LLVM. In Proceedings of the 25th International Conference on Compiler Construction, CC 2016, Barcelona, Spain, March 12-18, 2016, Ayal Zaks and Manuel V. Hermenegildo (Eds.). ACM, 265–266. https://doi.org/10.1145/2892208.2892235
[50]
Cheng Wen, Haijun Wang, Yuekang Li, Shengchao Qin, Yang Liu, Zhiwu Xu, Hongxu Chen, Xiaofei Xie, Geguang Pu, and Ting Liu. 2020. MemLock: memory usage guided fuzzing. In ICSE ’20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June - 19 July, 2020, Gregg Rothermel and Doo-Hwan Bae (Eds.). ACM, 765–777. https://doi.org/10.1145/3377811.3380396
[51]
Reinhard Wilhelm, Jakob Engblom, Andreas Ermedahl, Niklas Holsti, Stephan Thesing, David B. Whalley, Guillem Bernat, Christian Ferdinand, Reinhold Heckmann, Tulika Mitra, Frank Mueller, Isabelle Puaut, Peter P. Puschner, Jan Staschulat, and Per Stenström. 2008. The worst-case execution-time problem - overview of methods and survey of tools. ACM Trans. Embed. Comput. Syst., 7, 3 (2008), 36:1–36:53. https://doi.org/10.1145/1347375.1347389
[52]
Xiaofei Xie, Bihuan Chen, Yang Liu, Wei Le, and Xiaohong Li. 2016. Proteus: computing disjunctive loop summary via path dependency analysis. In Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2016, Seattle, WA, USA, November 13-18, 2016, Thomas Zimmermann, Jane Cleland-Huang, and Zhendong Su (Eds.). ACM, 61–72. https://doi.org/10.1145/2950290.2950340
[53]
Guoqing Xu. 2013. CoCo: Sound and Adaptive Replacement of Java Collections. In ECOOP 2013 - Object-Oriented Programming - 27th European Conference, Montpellier, France, July 1-5, 2013. Proceedings, Giuseppe Castagna (Ed.) (Lecture Notes in Computer Science, Vol. 7920). Springer, 1–26. https://doi.org/10.1007/978-3-642-39038-8_1
[54]
Guoqing Xu and Atanas Rountev. 2010. Detecting inefficiently-used containers to avoid bloat. In Proceedings of the 2010 ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2010, Toronto, Ontario, Canada, June 5-10, 2010, Benjamin G. Zorn and Alexander Aiken (Eds.). ACM, 160–173. https://doi.org/10.1145/1806596.1806616
[55]
Guoqing Xu, Dacong Yan, and Atanas Rountev. 2012. Static Detection of Loop-Invariant Data Structures. In ECOOP 2012 - Object-Oriented Programming - 26th European Conference, Beijing, China, June 11-16, 2012. Proceedings, James Noble (Ed.) (Lecture Notes in Computer Science, Vol. 7313). Springer, 738–763. https://doi.org/10.1007/978-3-642-31057-7_32
[56]
Guoqing (Harry) Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Edith Schonberg, and Gary Sevitsky. 2010. Finding low-utility data structures. In Proceedings of the 2010 ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2010, Toronto, Ontario, Canada, June 5-10, 2010, Benjamin G. Zorn and Alexander Aiken (Eds.). ACM, 174–186. https://doi.org/10.1145/1806596.1806617
[57]
Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig. 2017. SQLizer: query synthesis from natural language. Proc. ACM Program. Lang., 1, OOPSLA (2017), 63:1–63:26. https://doi.org/10.1145/3133887
[58]
Junwen Yang, Pranav Subramaniam, Shan Lu, Cong Yan, and Alvin Cheung. 2018. How not to structure your database-backed web applications: a study of performance bugs in the wild. In Proceedings of the 40th International Conference on Software Engineering, ICSE 2018, Gothenburg, Sweden, May 27 - June 03, 2018, Michel Chaudron, Ivica Crnkovic, Marsha Chechik, and Mark Harman (Eds.). ACM, 800–810. https://doi.org/10.1145/3180155.3180194
[59]
Karen Zee, Viktor Kuncak, and Martin C. Rinard. 2008. Full functional verification of linked data structures. In Proceedings of the ACM SIGPLAN 2008 Conference on Programming Language Design and Implementation, Tucson, AZ, USA, June 7-13, 2008, Rajiv Gupta and Saman P. Amarasinghe (Eds.). ACM, 349–361. https://doi.org/10.1145/1375581.1375624
[60]
Qirun Zhang, Michael R. Lyu, Hao Yuan, and Zhendong Su. 2013. Fast algorithms for Dyck-CFL-reachability with applications to alias analysis. In ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI ’13, Seattle, WA, USA, June 16-19, 2013, Hans-Juergen Boehm and Cormac Flanagan (Eds.). ACM, 435–446. https://doi.org/10.1145/2491956.2462159

Cited By

View all
  • (2024)Combating Islamophobia: Compromise, Community, and Harmony in Mitigating Harmful Online ContentACM Transactions on Social Computing10.1145/36415107:1(1-32)Online publication date: 27-Apr-2024
  • (2024)Monotonicity and the Precision of Program AnalysisProceedings of the ACM on Programming Languages10.1145/36328978:POPL(1629-1662)Online publication date: 5-Jan-2024
  • (2024)PmTrackProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314337:4(1-30)Online publication date: 12-Jan-2024
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Proceedings of the ACM on Programming Languages
Proceedings of the ACM on Programming Languages  Volume 6, Issue OOPSLA1
April 2022
687 pages
EISSN:2475-1421
DOI:10.1145/3534679
Issue’s Table of Contents
This work is licensed under a Creative Commons Attribution International 4.0 License.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 April 2022
Published in PACMPL Volume 6, Issue OOPSLA1

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. data structure specification
  2. program optimization
  3. program synthesis

Qualifiers

  • Research-article

Funding Sources

  • Hong Kong Research Grant Council
  • Hong Kong Innovation and Technology Commission
  • Ant Group

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)204
  • Downloads (Last 6 weeks)42
Reflects downloads up to 01 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Combating Islamophobia: Compromise, Community, and Harmony in Mitigating Harmful Online ContentACM Transactions on Social Computing10.1145/36415107:1(1-32)Online publication date: 27-Apr-2024
  • (2024)Monotonicity and the Precision of Program AnalysisProceedings of the ACM on Programming Languages10.1145/36328978:POPL(1629-1662)Online publication date: 5-Jan-2024
  • (2024)PmTrackProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314337:4(1-30)Online publication date: 12-Jan-2024
  • (2024)Collection skeletonsJournal of Systems and Software10.1016/j.jss.2024.112042213:COnline publication date: 1-Jul-2024
  • (2023)A Survey of Deep Learning for Alzheimer’s DiseaseMachine Learning and Knowledge Extraction10.3390/make50200355:2(611-668)Online publication date: 9-Jun-2023
  • (2023)Fine-Tuning Data Structures for Query ProcessingProceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization10.1145/3579990.3580016(149-161)Online publication date: 17-Feb-2023
  • (2023) Anchor: Fast and Precise Value-flow Analysis for Containers via Memory OrientationACM Transactions on Software Engineering and Methodology10.1145/356580032:3(1-39)Online publication date: 26-Apr-2023
  • (2023)Shockvertising, Malware, and a Lack of Accountability: Exploring Consumer Risks of Virtual Reality Advertisements and Marketing ExperiencesIEEE Security and Privacy10.1109/MSEC.2023.333210522:1(43-52)Online publication date: 8-Dec-2023
  • (2023)Android malware detection based on sensitive patternsTelecommunications Systems10.1007/s11235-022-00983-282:4(435-449)Online publication date: 20-Feb-2023
  • (2023)Cybersecurity for autonomous vehicles against malware attacks in smart-citiesCluster Computing10.1007/s10586-023-04114-727:3(3363-3378)Online publication date: 3-Oct-2023
  • Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

Full Access

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media