{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T02:13:20Z","timestamp":1775873600737,"version":"3.50.1"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030888053","type":"print"},{"value":"9783030888060","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-88806-0_13","type":"book-chapter","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T17:25:06Z","timestamp":1634145906000},"page":"261-285","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Selective Context-Sensitivity for k-CFA with CFL-Reachability"],"prefix":"10.1007","author":[{"given":"Jingbo","family":"Lu","sequence":"first","affiliation":[]},{"given":"Dongjie","family":"He","sequence":"additional","affiliation":[]},{"given":"Jingling","family":"Xue","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,13]]},"reference":[{"key":"13_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1007\/978-3-642-31057-7_30","volume-title":"ECOOP 2012 \u2013 Object-Oriented Programming","author":"K Ali","year":"2012","unstructured":"Ali, K., Lhot\u00e1k, O.: Application-only call graph construction. In: Noble, J. (ed.) ECOOP 2012. LNCS, vol. 7313, pp. 688\u2013712. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-31057-7_30"},{"key":"13_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1007\/978-3-642-39038-8_16","volume-title":"ECOOP 2013 \u2013 Object-Oriented Programming","author":"K Ali","year":"2013","unstructured":"Ali, K., Lhot\u00e1k, O.: Averroes: whole-program analysis without the whole program. In: Castagna, G. (ed.) ECOOP 2013. LNCS, vol. 7920, pp. 378\u2013400. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39038-8_16"},{"key":"13_CR3","unstructured":"Andersen, L.O.: Program analysis and specialization for the C programming language. Ph.D. thesis, University of Copenhagen, Copenhagen (1994)"},{"key":"13_CR4","unstructured":"Blackburn, S.M., et al.: The DaCapo benchmarks: Java benchmarking development and analysis. In: Proceedings of the 21st annual ACM SIGPLAN Conference on Object-Oriented Programing, Systems, Languages, and Applications(OOPSLA 2006), pp. 169\u2013190. ACM Press, New York, October 2006. http:\/\/doi.acm.org\/10.1145\/1167473.1167488"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Bodden, E., Sewe, A., Sinschek, J., Oueslati, H., Mezini, M.: Taming reflection: aiding static analysis in the presence of reflection and custom class loaders. In: Proceedings of the 33rd International Conference on Software Engineering, pp. 241\u2013250. ACM (2011)","DOI":"10.1145\/1985793.1985827"},{"key":"13_CR6","doi-asserted-by":"publisher","unstructured":"Bod\u00edk, R., Anik, S.: Path-sensitive value-flow analysis. In: Proceedings of the 25th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (PoPL1998), pp. 237\u2013251., Association for Computing Machinery, New York (1998). https:\/\/doi.org\/10.1145\/268946.268966","DOI":"10.1145\/268946.268966"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Hardekopf, B., Lin, C.: Flow-sensitive pointer analysis for millions of lines of code. In: Proceedings of the 9th Annual IEEE\/ACM International Symposium on Code Generation and Optimization, pp. 289\u2013298 (CGO2011), IEEE Computer Society (2011)","DOI":"10.1109\/CGO.2011.5764696"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"He, D., Lu, J., Gao, Y., Xue, J.: Accelerating object-sensitive pointer analysis by exploiting object containment and reachability. In: 35th European Conference on Object-Oriented Programming (ECOOP 2021). Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik (2021)","DOI":"10.1109\/ASE51524.2021.9678880"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Jeon, M., Jeong, S., Oh, H.: Precise and scalable points-to analysis via data-driven context tunneling. In: Proceedings of the ACM on Programming Languages 2 (OOPSLA), p. 140 (2018)","DOI":"10.1145\/3276510"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Jeong, S., Jeon, M., Cha, S., Oh, H.: Data-driven context-sensitivity for points-to analysis. In: Proceedings of the ACM on Programming Languages (OOPSLA), vol. 1 , p. 100 (2017)","DOI":"10.1145\/3133924"},{"key":"13_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/3-540-36579-6_12","volume-title":"Compiler Construction","author":"O Lhot\u00e1k","year":"2003","unstructured":"Lhot\u00e1k, O., Hendren, L.: Scaling java points-to analysis using Spark. In: Hedin, G. (ed.) CC 2003. LNCS, vol. 2622, pp. 153\u2013169. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-36579-6_12"},{"key":"13_CR12","doi-asserted-by":"publisher","unstructured":"Li, Y., Tan, T., M\u00f8ller, A., Smaragdakis, Y.: A principled approach to selective context sensitivity for pointer analysis. ACM Trans. Program. Lang. Syst. 42(2) (2020). https:\/\/doi.org\/10.1145\/3381915","DOI":"10.1145\/3381915"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Lu, J., He, D., Xue, J.: Eagle: CFL-reachability-based precision-preserving acceleration of object-sensitive pointer analysis with partial context sensitivity. ACM Transactions on Software Engineering and Methodology 30(4) (2021), to appear","DOI":"10.1145\/3450492"},{"key":"13_CR14","doi-asserted-by":"publisher","unstructured":"Lu, J., Xue, J.: Precision-preserving yet fast object-sensitive pointer analysis with partial context sensitivity. In: Proceedings of the ACM on Programming Languages, vol. 3, Ocober 2019. https:\/\/doi.org\/10.1145\/3360574","DOI":"10.1145\/3360574"},{"issue":"1","key":"13_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1044834.1044835","volume":"14","author":"A Milanova","year":"2005","unstructured":"Milanova, A., Rountev, A., Ryder, B.G.: Parameterized object sensitivity for points-to analysis for Java. ACM Trans. Softw. Eng. Methodol. (TOSEM) 14(1), 1\u201341 (2005)","journal-title":"ACM Trans. Softw. Eng. Methodol. (TOSEM)"},{"issue":"6","key":"13_CR16","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1145\/2666356.2594318","volume":"49","author":"H Oh","year":"2014","unstructured":"Oh, H., Lee, W., Heo, K., Yang, H., Yi, K.: Selective context-sensitivity guided by impact pre-analysis. SIGPLAN Not. 49(6), 475\u2013484 (2014). https:\/\/doi.org\/10.1145\/2666356.2594318","journal-title":"SIGPLAN Not."},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Raghothaman, M., Kulkarni, S., Heo, K., Naik, M.: User-guided program reasoning using Bayesian inference. In: Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, pp. 722\u2013735. ACM (2018)","DOI":"10.1145\/3192366.3192417"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Rasthofer, S., Arzt, S., Miltenberger, M., Bodden, E.: Harvesting runtime values in Android applications that feature anti-analysis techniques. In: NDSS (2016)","DOI":"10.14722\/ndss.2016.23066"},{"issue":"11\u201312","key":"13_CR19","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1016\/S0950-5849(98)00093-7","volume":"40","author":"T Reps","year":"1998","unstructured":"Reps, T.: Program analysis via graph reachability. Inf. Softw. Technol. 40(11\u201312), 701\u2013726 (1998)","journal-title":"Inf. Softw. Technol."},{"issue":"1","key":"13_CR20","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1145\/345099.345137","volume":"22","author":"T Reps","year":"2000","unstructured":"Reps, T.: Undecidability of context-sensitive data-dependence analysis. ACM Trans. Prog. Lang. Syst. (TOPLAS) 22(1), 162\u2013186 (2000)","journal-title":"ACM Trans. Prog. Lang. Syst. (TOPLAS)"},{"key":"13_CR21","doi-asserted-by":"publisher","unstructured":"Reps, T., Horwitz, S., Sagiv, M.: Precise interprocedural dataflow analysis via graph reachability. In: Proceedings of the 22nd ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL 1995), pp. 49\u201361. Association for Computing Machinery, New York (1995). https:\/\/doi.org\/10.1145\/199448.199462","DOI":"10.1145\/199448.199462"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Shang, L., Xie, X., Xue, J.: On-demand dynamic summary-based points-to analysis. In: Proceedings of the Tenth International Symposium on Code Generation and Optimization, pp. 264\u2013274. ACM (2012)","DOI":"10.1145\/2259016.2259050"},{"key":"13_CR23","unstructured":"Shivers, O.: Control-flow analysis of higher-order languages. Ph.D. thesis, Citeseer (1991)"},{"key":"13_CR24","doi-asserted-by":"publisher","unstructured":"Smaragdakis, Y., Bravenboer, M., Lhot\u00e1k, O.: Pick your contexts well: understanding object-sensitivity. In: Proceedings of the 38th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL 2011), pp. 17\u201330. Association for Computing Machinery, New York (2011). https:\/\/doi.org\/10.1145\/1926385.1926390","DOI":"10.1145\/1926385.1926390"},{"key":"13_CR25","doi-asserted-by":"publisher","unstructured":"Smaragdakis, Y., Kastrinis, G., Balatsouras, G.: Introspective analysis: context-sensitivity, across the board. In: Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2014), pp. 485\u2013495. Association for Computing Machinery, New York (2014). https:\/\/doi.org\/10.1145\/2594291.2594320","DOI":"10.1145\/2594291.2594320"},{"key":"13_CR26","doi-asserted-by":"publisher","unstructured":"Sridharan, M., Bod\u00edk, R.: Refinement-based context-sensitive points-to analysis for Java. In: Proceedings of the 27th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2006), pp. 387\u2013400. Association for Computing Machinery, New York (2006). https:\/\/doi.org\/10.1145\/1133981.1134027","DOI":"10.1145\/1133981.1134027"},{"key":"13_CR27","doi-asserted-by":"publisher","unstructured":"Sridharan, M., Gopan, D., Shan, L., Bod\u00edk, R.: Demand-driven points-to analysis for Java. In: Proceedings of the 20th Annual ACM SIGPLAN Conference on Object-oriented Programming, Systems, Languages, and Applications (OOPSLA 2005), pp. 59\u201376. ACM, New York (2005). https:\/\/doi.org\/10.1145\/1094811.1094817","DOI":"10.1145\/1094811.1094817"},{"key":"13_CR28","doi-asserted-by":"publisher","unstructured":"Sui, Y., Di, P., Xue, J.: Sparse flow-sensitive pointer analysis for multithreaded programs. In: Proceedings of the 2016 International Symposium on Code Generation and Optimization (CGO2016), pp. 160\u2013170. Association for Computing Machinery, New York (2016). https:\/\/doi.org\/10.1145\/2854038.2854043","DOI":"10.1145\/2854038.2854043"},{"key":"13_CR29","doi-asserted-by":"publisher","unstructured":"Sui, Y., Ye, S., Xue, J., Yew, P.: SPAS: scalable path-sensitive pointer analysis on full-sparse SSA. In: Yang, H. (ed.) Programming Languages and Systems - 9th Asian Symposium, APLAS 2011, Kenting, Taiwan, December 5\u20137, 2011. LNCS, vol. 7078, pp. 155\u2013171. Springer (2011). https:\/\/doi.org\/10.1007\/978-3-642-25318-8_14","DOI":"10.1007\/978-3-642-25318-8_14"},{"key":"13_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/978-3-662-53413-7_24","volume-title":"Static Analysis","author":"T Tan","year":"2016","unstructured":"Tan, T., Li, Y., Xue, J.: Making k-object-sensitive pointer analysis more precise with still k-limiting. In: Rival, X. (ed.) SAS 2016. LNCS, vol. 9837, pp. 489\u2013510. Springer, Heidelberg (2016). https:\/\/doi.org\/10.1007\/978-3-662-53413-7_24"},{"key":"13_CR31","doi-asserted-by":"crossref","unstructured":"Tan, T., Li, Y., Xue, J.: Efficient and precise points-to analysis: Modeling the heap by merging equivalent automata. In: Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation. p. 278\u2013291. PLDI 2017, Association for Computing Machinery, New York, NY, USA (2017). DOI: 10.1145\/3062341.3062360","DOI":"10.1145\/3062341.3062360"},{"key":"13_CR32","doi-asserted-by":"publisher","unstructured":"Thiessen, R., Lhot\u00e1k, O.: Context transformations for pointer analysis. In: Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2017), pp. 263\u2013277. Association for Computing Machinery, New York (2017). https:\/\/doi.org\/10.1145\/3062341.3062359","DOI":"10.1145\/3062341.3062359"},{"key":"13_CR33","doi-asserted-by":"crossref","unstructured":"Vall\u00e9e-Rai, R. Co, P., Gagnon, E., Hendren, L., Lam, P., Sundaresan, V.: Soot: a Java bytecode optimization framework. In: CASCON First Decade High Impact Papers, pp. 214\u2013224. IBM Corp. (2010)","DOI":"10.1145\/1925805.1925818"}],"container-title":["Lecture Notes in Computer Science","Static Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-88806-0_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T02:39:11Z","timestamp":1673491151000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-88806-0_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030888053","9783030888060"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-88806-0_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"13 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Static Analysis Symposium","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chicago, IL","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sas2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/staticanalysis.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"45% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}