{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T21:14:50Z","timestamp":1783804490939,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T00:00:00Z","timestamp":1629244800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100004318","name":"Microsoft","doi-asserted-by":"publisher","award":["Microsoft Azure credits"],"award-info":[{"award-number":["Microsoft Azure credits"]}],"id":[{"id":"10.13039\/100004318","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015579","name":"3M Foundation","doi-asserted-by":"publisher","award":["3M Foundation Fellowship"],"award-info":[{"award-number":["3M Foundation Fellowship"]}],"id":[{"id":"10.13039\/100015579","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006785","name":"Google","doi-asserted-by":"publisher","award":["Google Cloud credits"],"award-info":[{"award-number":["Google Cloud credits"]}],"id":[{"id":"10.13039\/100006785","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CNS-1564274, CCF-1816615, CNS-1956007, and CCF-2029049"],"award-info":[{"award-number":["CNS-1564274, CCF-1816615, CNS-1956007, and CCF-2029049"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005801","name":"Facebook","doi-asserted-by":"publisher","award":["Facebook Distributed Systems Research award"],"award-info":[{"award-number":["Facebook Distributed Systems Research award"]}],"id":[{"id":"10.13039\/100005801","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8,20]]},"DOI":"10.1145\/3468264.3468554","type":"proceedings-article","created":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T01:40:03Z","timestamp":1629337203000},"page":"83-94","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":33,"title":["Vet: identifying and avoiding UI exploration tarpits"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9821-3220","authenticated-orcid":false,"given":"Wenyu","family":"Wang","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5338-7347","authenticated-orcid":false,"given":"Wei","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Texas at Dallas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4443-8170","authenticated-orcid":false,"given":"Tianyin","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6731-216X","authenticated-orcid":false,"given":"Tao","family":"Xie","sequence":"additional","affiliation":[{"name":"Peking University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,8,18]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Mary Jean Harrold, and Hongseok Yang","author":"Anand Saswat","year":"2012","unstructured":"Saswat Anand , Mayur Naik , Mary Jean Harrold, and Hongseok Yang . 2012 . Automated Concolic Testing of Smartphone Apps. In FSE. Saswat Anand, Mayur Naik, Mary Jean Harrold, and Hongseok Yang. 2012. Automated Concolic Testing of Smartphone Apps. In FSE."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Tanzirul Azim and Iulian Neamtiu. 2013. Targeted and Depth-first Exploration for Systematic Testing of Android Apps. In OOPSLA.  Tanzirul Azim and Iulian Neamtiu. 2013. Targeted and Depth-first Exploration for Systematic Testing of Android Apps. In OOPSLA.","DOI":"10.1145\/2509136.2509549"},{"key":"e_1_3_2_1_3_1","unstructured":"Young-Min Baek and Doo-Hwan Bae. 2016. Automated Model-Based Android GUI Testing Using Multi-Level GUI Comparison Criteria. In ASE.  Young-Min Baek and Doo-Hwan Bae. 2016. Automated Model-Based Android GUI Testing Using Multi-Level GUI Comparison Criteria. In ASE."},{"key":"e_1_3_2_1_4_1","volume-title":"The Mythical Man-Month","author":"Brooks Frederick P.","unstructured":"Frederick P. Brooks . 1995. The Mythical Man-Month (Anniversary Ed.). Addison-Wesley Longman Publishing Co., Inc. . Frederick P. Brooks. 1995. The Mythical Man-Month (Anniversary Ed.). Addison-Wesley Longman Publishing Co., Inc.."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Stefan Bucur Vlad Ureche Cristian Zamfir and George Candea. 2011. Parallel Symbolic Execution for Automated Real-World Software Testing. In EuroSys.  Stefan Bucur Vlad Ureche Cristian Zamfir and George Candea. 2011. Parallel Symbolic Execution for Automated Real-World Software Testing. In EuroSys.","DOI":"10.1145\/1966445.1966463"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"An Ran Chen. 2019. An Empirical Study on Leveraging Logs for Debugging Production Failures. In ICSE.  An Ran Chen. 2019. An Empirical Study on Leveraging Logs for Debugging Production Failures. In ICSE.","DOI":"10.1109\/ICSE-Companion.2019.00055"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Wontae Choi George Necula and Koushik Sen. 2013. Guided GUI Testing of Android Apps with Minimal Restart and Approximate Learning. In OOPSLA.  Wontae Choi George Necula and Koushik Sen. 2013. Guided GUI Testing of Android Apps with Minimal Restart and Approximate Learning. In OOPSLA.","DOI":"10.1145\/2509136.2509552"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Shauvik Roy Choudhary Alessandra Gorla and Alessandro Orso. 2015. Automated Test Input Generation for Android: Are We There Yet? In ASE.  Shauvik Roy Choudhary Alessandra Gorla and Alessandro Orso. 2015. Automated Test Input Generation for Android: Are We There Yet? In ASE.","DOI":"10.1109\/ASE.2015.89"},{"key":"e_1_3_2_1_9_1","volume-title":"REPT: Reverse Debugging of Failures in Deployed Software. In OSDI.","author":"Cui Weidong","year":"2018","unstructured":"Weidong Cui , Xinyang Ge , Baris Kasikci , Ben Niu , Upamanyu Sharma , Ruoyu Wang , and Insu Yun . 2018 . REPT: Reverse Debugging of Failures in Deployed Software. In OSDI. Weidong Cui, Xinyang Ge, Baris Kasikci, Ben Niu, Upamanyu Sharma, Ruoyu Wang, and Insu Yun. 2018. REPT: Reverse Debugging of Failures in Deployed Software. In OSDI."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Zhen Dong Marcel B\u00f6hme Lucia Cojocaru and Abhik Roychoudhury. 2020. Time-Travel Testing of Android Apps. In ICSE.  Zhen Dong Marcel B\u00f6hme Lucia Cojocaru and Abhik Roychoudhury. 2020. Time-Travel Testing of Android Apps. In ICSE.","DOI":"10.1145\/3377811.3380402"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Min Du Feifei Li Guineng Zheng and Vivek Srikumar. 2017. DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning. In CCS.  Min Du Feifei Li Guineng Zheng and Vivek Srikumar. 2017. DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning. In CCS.","DOI":"10.1145\/3133956.3134015"},{"key":"e_1_3_2_1_12_1","unstructured":"Google. 2021. Android Monkey. https:\/\/developer.android.com\/studio\/test\/monkey  Google. 2021. Android Monkey. https:\/\/developer.android.com\/studio\/test\/monkey"},{"key":"e_1_3_2_1_13_1","unstructured":"Google. 2021. Android View. https:\/\/developer.android.com\/reference\/android\/view\/View  Google. 2021. Android View. https:\/\/developer.android.com\/reference\/android\/view\/View"},{"key":"e_1_3_2_1_14_1","unstructured":"Google. 2021. Android ViewGroup. https:\/\/developer.android.com\/reference\/android\/view\/ViewGroup  Google. 2021. Android ViewGroup. https:\/\/developer.android.com\/reference\/android\/view\/ViewGroup"},{"key":"e_1_3_2_1_15_1","unstructured":"Google. 2021. Logcat command-line tool. https:\/\/developer.android.com\/studio\/command-line\/logcat  Google. 2021. Logcat command-line tool. https:\/\/developer.android.com\/studio\/command-line\/logcat"},{"key":"e_1_3_2_1_16_1","unstructured":"Tianxiao Gu Chun Cao Tianchi Liu Chengnian Sun Jing Deng Xiaoxing Ma and Jian L\u00fc. 2017. AimDroid: Activity-Insulated Multi-level Automated Testing for Android Applications. In ICSME.  Tianxiao Gu Chun Cao Tianchi Liu Chengnian Sun Jing Deng Xiaoxing Ma and Jian L\u00fc. 2017. AimDroid: Activity-Insulated Multi-level Automated Testing for Android Applications. In ICSME."},{"key":"e_1_3_2_1_17_1","unstructured":"Tianxiao Gu Chengnian Sun Xiaoxing Ma Chun Cao Chang Xu Yuan Yao Qirun Zhang Jian Lu and Zhendong Su. 2019. Practical GUI Testing of Android Applications via Model Abstraction and Refinement. In ICSE.  Tianxiao Gu Chengnian Sun Xiaoxing Ma Chun Cao Chang Xu Yuan Yao Qirun Zhang Jian Lu and Zhendong Su. 2019. Practical GUI Testing of Android Applications via Model Abstraction and Refinement. In ICSE."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2594368.2594390"},{"key":"e_1_3_2_1_19_1","volume-title":"Share of Android Os of Global Smartphone Shipments from 1st Quarter 2011 to 2nd Quarter","author":"Gartner IDC","year":"2018","unstructured":"IDC and Gartner . 2019. Share of Android Os of Global Smartphone Shipments from 1st Quarter 2011 to 2nd Quarter 2018 . https:\/\/www.statista.com\/statistics\/236027\/global-smartphone-os-market-share-of-android\/ IDC and Gartner. 2019. Share of Android Os of Global Smartphone Shipments from 1st Quarter 2011 to 2nd Quarter 2018. https:\/\/www.statista.com\/statistics\/236027\/global-smartphone-os-market-share-of-android\/"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"James A. Jones James F. Bowring and Mary Jean Harrold. 2007. Debugging in Parallel. In ISSTA.  James A. Jones James F. Bowring and Mary Jean Harrold. 2007. Debugging in Parallel. In ISSTA.","DOI":"10.1145\/1273463.1273468"},{"key":"e_1_3_2_1_21_1","unstructured":"Mobile Labs. 2018. 10 Best Android & iOS Automation App Testing Tools. https:\/\/mobilelabsinc.com\/blog\/top-10-automated-testing-tools-for-mobile-app-testing  Mobile Labs. 2018. 10 Best Android & iOS Automation App Testing Tools. https:\/\/mobilelabsinc.com\/blog\/top-10-automated-testing-tools-for-mobile-app-testing"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Yuanchun Li Ziyue Yang Yao Guo and Xiangqun Chen. 2017. DroidBot: A Lightweight UI-guided Test Input Generator for Android. In ICSE-C.  Yuanchun Li Ziyue Yang Yao Guo and Xiangqun Chen. 2017. DroidBot: A Lightweight UI-guided Test Input Generator for Android. In ICSE-C.","DOI":"10.1109\/ICSE-C.2017.8"},{"key":"e_1_3_2_1_23_1","unstructured":"Thomas F. Liu Mark Craft Jason Situ Ersin Yumer Radomir Mech and Ranjitha Kumar. 2018. Learning Design Semantics for Mobile Apps. In UIST.  Thomas F. Liu Mark Craft Jason Situ Ersin Yumer Radomir Mech and Ranjitha Kumar. 2018. Learning Design Semantics for Mobile Apps. In UIST."},{"key":"e_1_3_2_1_24_1","volume-title":"Dynodroid: An Input Generation System for Android Apps. In ESEC\/FSE.","author":"Machiry Aravind","year":"2013","unstructured":"Aravind Machiry , Rohan Tahiliani , and Mayur Naik . 2013 . Dynodroid: An Input Generation System for Android Apps. In ESEC\/FSE. Aravind Machiry, Rohan Tahiliani, and Mayur Naik. 2013. Dynodroid: An Input Generation System for Android Apps. In ESEC\/FSE."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Riyadh Mahmood Nariman Mirzaei and Sam Malek. 2014. EvoDroid: Segmented Evolutionary Testing of Android Apps. In FSE.  Riyadh Mahmood Nariman Mirzaei and Sam Malek. 2014. EvoDroid: Segmented Evolutionary Testing of Android Apps. In FSE.","DOI":"10.1145\/2635868.2635896"},{"key":"e_1_3_2_1_26_1","volume-title":"Sapienz: Multi-objective Automated Testing for Android Applications. In ISSTA.","author":"Mao Ke","year":"2016","unstructured":"Ke Mao , Mark Harman , and Yue Jia . 2016 . Sapienz: Multi-objective Automated Testing for Android Applications. In ISSTA. Ke Mao, Mark Harman, and Yue Jia. 2016. Sapienz: Multi-objective Automated Testing for Android Applications. In ISSTA."},{"key":"e_1_3_2_1_27_1","unstructured":"Pedro Reales Mateo and Macario Polo Usaola. 2013. Parallel mutation testing. Software Testing Verification and Reliability.  Pedro Reales Mateo and Macario Polo Usaola. 2013. Parallel mutation testing. Software Testing Verification and Reliability."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Cristina Monni and Mauro Pezz\u00e8. 2019. Energy-Based Anomaly Detection a New Perspective for Predicting Software Failures. In ICSE-NIER.  Cristina Monni and Mauro Pezz\u00e8. 2019. Energy-Based Anomaly Detection a New Perspective for Predicting Software Failures. In ICSE-NIER.","DOI":"10.1109\/ICSE-NIER.2019.00026"},{"key":"e_1_3_2_1_29_1","unstructured":"MoQuality. 2021. How to Automate Mobile App Testing. https:\/\/www.moquality.com\/blog\/How-to-Automate-Mobile-App-Testing  MoQuality. 2021. How to Automate Mobile App Testing. https:\/\/www.moquality.com\/blog\/How-to-Automate-Mobile-App-Testing"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"\u0160ar\u016bnas Packevi\u010dius Dominykas Barisas Andrej U\u0161aniov Evaldas Guogis and Eduardas Barei\u0161a. 2018. Text Semantics and Layout Defects Detection in Android Apps Using Dynamic Execution and Screenshot Analysis. In ICIST.  \u0160ar\u016bnas Packevi\u010dius Dominykas Barisas Andrej U\u0161aniov Evaldas Guogis and Eduardas Barei\u0161a. 2018. Text Semantics and Layout Defects Detection in Android Apps Using Dynamic Execution and Screenshot Analysis. In ICIST.","DOI":"10.1007\/978-3-319-99972-2_22"},{"key":"e_1_3_2_1_31_1","volume-title":"Theory of Linear and Integer Programming","author":"Schrijver Alexander","unstructured":"Alexander Schrijver . 1986. Theory of Linear and Integer Programming . John Wiley & Sons, Inc. . Alexander Schrijver. 1986. Theory of Linear and Integer Programming. John Wiley & Sons, Inc.."},{"key":"e_1_3_2_1_32_1","volume-title":"Hadi Hemmati, Bram Adams, Ahmed E. Hassan, and Patrick Martin.","author":"Shang Weiyi","year":"2013","unstructured":"Weiyi Shang , Zhen Ming Jiang , Hadi Hemmati, Bram Adams, Ahmed E. Hassan, and Patrick Martin. 2013 . Assisting Developers of Big Data Analytics Applications When Deploying on Hadoop Clouds. In ICSE. Weiyi Shang, Zhen Ming Jiang, Hadi Hemmati, Bram Adams, Ahmed E. Hassan, and Patrick Martin. 2013. Assisting Developers of Big Data Analytics Applications When Deploying on Hadoop Clouds. In ICSE."},{"key":"e_1_3_2_1_33_1","unstructured":"SmartBear. 2021. Mastering the Art of Mobile Testing. https:\/\/smartbear.com\/resources\/ebooks\/mastering-the-art-of-mobile-testing\/  SmartBear. 2021. Mastering the Art of Mobile Testing. https:\/\/smartbear.com\/resources\/ebooks\/mastering-the-art-of-mobile-testing\/"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Matt Staats and Corina Pundefinedsundefinedreanu. 2010. Parallel Symbolic Execution for Structural Test Generation. In ISSTA.  Matt Staats and Corina Pundefinedsundefinedreanu. 2010. Parallel Symbolic Execution for Structural Test Generation. In ISSTA.","DOI":"10.1145\/1831708.1831732"},{"key":"e_1_3_2_1_35_1","unstructured":"Ting Su Guozhu Meng Yuting Chen Ke Wu Weiming Yang Yao Yao Geguang Pu Yang Liu and Zhendong Su. 2017. Guided Stochastic Model-based GUI Testing of Android Apps. In ESEC\/FSE.  Ting Su Guozhu Meng Yuting Chen Ke Wu Weiming Yang Yao Yao Geguang Pu Yang Liu and Zhendong Su. 2017. Guided Stochastic Model-based GUI Testing of Android Apps. In ESEC\/FSE."},{"key":"e_1_3_2_1_36_1","unstructured":"Testsigma. 2021. How to perform Mobile Automation Testing of the UI? https:\/\/testsigma.com\/blog\/how-to-perform-mobile-automation-testing-of-the-ui\/  Testsigma. 2021. How to perform Mobile Automation Testing of the UI? https:\/\/testsigma.com\/blog\/how-to-perform-mobile-automation-testing-of-the-ui\/"},{"key":"e_1_3_2_1_37_1","unstructured":"VET Artifacts. 2021. https:\/\/github.com\/VET-UI-Testing\/main  VET Artifacts. 2021. https:\/\/github.com\/VET-UI-Testing\/main"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Wenyu Wang Wing Lam and Tao Xie. 2021. An Infrastructure Approach to Improving Effectiveness of Android UI Testing Tools. In ISSTA.  Wenyu Wang Wing Lam and Tao Xie. 2021. An Infrastructure Approach to Improving Effectiveness of Android UI Testing Tools. In ISSTA.","DOI":"10.1145\/3460319.3464828"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Wenyu Wang Dengfeng Li Wei Yang Yurui Cao Zhenwen Zhang Yuetang Deng and Tao Xie. 2018. An Empirical Study of Android Test Generation Tools in Industrial Cases. In ASE.  Wenyu Wang Dengfeng Li Wei Yang Yurui Cao Zhenwen Zhang Yuetang Deng and Tao Xie. 2018. An Empirical Study of Android Test Generation Tools in Industrial Cases. In ASE.","DOI":"10.1145\/3238147.3240465"},{"key":"e_1_3_2_1_40_1","volume-title":"Integer and combinatorial optimization","author":"Wolsey Laurence A","unstructured":"Laurence A Wolsey and George L Nemhauser . 1999. Integer and combinatorial optimization . John Wiley & Sons . Laurence A Wolsey and George L Nemhauser. 1999. Integer and combinatorial optimization. John Wiley & Sons."},{"key":"e_1_3_2_1_41_1","unstructured":"Shengqu Xi Shao Yang Xusheng Xiao Yuan Yao Yayuan Xiong Fengyuan Xu Haoyu Wang Peng Gao Zhuotao Liu Feng Xu and Jian Lu. 2019. DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps. In CCS.  Shengqu Xi Shao Yang Xusheng Xiao Yuan Yao Yayuan Xiong Fengyuan Xu Haoyu Wang Peng Gao Zhuotao Liu Feng Xu and Jian Lu. 2019. DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps. In CCS."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Xusheng Xiao Xiaoyin Wang Zhihao Cao Hanlin Wang and Peng Gao. 2019. IconIntent: Automatic Identification of Sensitive UI Widgets Based on Icon Classification for Android Apps. In ICSE.  Xusheng Xiao Xiaoyin Wang Zhihao Cao Hanlin Wang and Peng Gao. 2019. IconIntent: Automatic Identification of Sensitive UI Widgets Based on Icon Classification for Android Apps. In ICSE.","DOI":"10.1109\/ICSE.2019.00041"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Wei Yang Mukul R. Prasad and Tao Xie. 2013. A Grey-box Approach for Automated GUI-model Generation of Mobile Applications. In FASE.  Wei Yang Mukul R. Prasad and Tao Xie. 2013. A Grey-box Approach for Automated GUI-model Generation of Mobile Applications. In FASE.","DOI":"10.1007\/978-3-642-37057-1_19"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Hui Ye Shaoyin Cheng Lanbo Zhang and Fan Jiang. 2013. DroidFuzzer: Fuzzing the Android Apps with Intent-Filter Tag. In MoMM.  Hui Ye Shaoyin Cheng Lanbo Zhang and Fan Jiang. 2013. DroidFuzzer: Fuzzing the Android Apps with Intent-Filter Tag. In MoMM.","DOI":"10.1145\/2536853.2536881"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Xia Zeng Dengfeng Li Wujie Zheng Fan Xia Yuetang Deng Wing Lam Wei Yang and Tao Xie. 2016. Automated Test Input Generation for Android: Are We Really There Yet in an Industrial Case? In FSE.  Xia Zeng Dengfeng Li Wujie Zheng Fan Xia Yuetang Deng Wing Lam Wei Yang and Tao Xie. 2016. Automated Test Input Generation for Android: Are We Really There Yet in an Industrial Case? In FSE.","DOI":"10.1145\/2950290.2983958"},{"key":"e_1_3_2_1_46_1","series-title":"SIAM J. Comput., 12","volume-title":"Simple Fast Algorithms for the Editing Distance Between Trees and Related Problems","author":"Zhang Kaizhong","unstructured":"Kaizhong Zhang and Dennis Shasha . 1989. Simple Fast Algorithms for the Editing Distance Between Trees and Related Problems . SIAM J. Comput., 12 . Kaizhong Zhang and Dennis Shasha. 1989. Simple Fast Algorithms for the Editing Distance Between Trees and Related Problems. SIAM J. Comput., 12."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Xu Zhang Yong Xu Qingwei Lin Bo Qiao Hongyu Zhang Yingnong Dang Chunyu Xie Xinsheng Yang Qian Cheng Ze Li Junjie Chen Xiaoting He Randolph Yao Jian-Guang Lou Murali Chintalapati Furao Shen and Dongmei Zhang. 2019. Robust Log-Based Anomaly Detection on Unstable Log Data. In ESEC\/FSE.  Xu Zhang Yong Xu Qingwei Lin Bo Qiao Hongyu Zhang Yingnong Dang Chunyu Xie Xinsheng Yang Qian Cheng Ze Li Junjie Chen Xiaoting He Randolph Yao Jian-Guang Lou Murali Chintalapati Furao Shen and Dongmei Zhang. 2019. Robust Log-Based Anomaly Detection on Unstable Log Data. In ESEC\/FSE.","DOI":"10.1145\/3338906.3338931"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132768"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Yongle Zhang Kirk Rodrigues Yu Luo Michael Stumm and Ding Yuan. 2019. The Inflection Point Hypothesis: A Principled Debugging Approach for Locating the Root Cause of a Failure. In SOSP.  Yongle Zhang Kirk Rodrigues Yu Luo Michael Stumm and Ding Yuan. 2019. The Inflection Point Hypothesis: A Principled Debugging Approach for Locating the Root Cause of a Failure. In SOSP.","DOI":"10.1145\/3341301.3359650"},{"key":"e_1_3_2_1_50_1","unstructured":"Xu Zhao Kirk Rodrigues Yu Luo Ding Yuan and Michael Stumm. 2016. Non-Intrusive Performance Profiling for Entire Software Stacks Based on the Flow Reconstruction Principle. In OSDI.  Xu Zhao Kirk Rodrigues Yu Luo Ding Yuan and Michael Stumm. 2016. Non-Intrusive Performance Profiling for Entire Software Stacks Based on the Flow Reconstruction Principle. In OSDI."},{"key":"e_1_3_2_1_51_1","volume-title":"Yu Luo, Ding Yuan, and Michael Stumm.","author":"Zhao Xu","year":"2014","unstructured":"Xu Zhao , Yongle Zhang , David Lion , Muhammad Faizan Ullah , Yu Luo, Ding Yuan, and Michael Stumm. 2014 . Lprof : A Non-Intrusive Request Flow Profiler for Distributed Systems. In OSDI. Xu Zhao, Yongle Zhang, David Lion, Muhammad Faizan Ullah, Yu Luo, Ding Yuan, and Michael Stumm. 2014. Lprof: A Non-Intrusive Request Flow Profiler for Distributed Systems. In OSDI."},{"key":"e_1_3_2_1_52_1","volume-title":"Sonia Ben Mokhtar, and Lydia Y Chen","author":"Zhao Zilong","year":"2019","unstructured":"Zilong Zhao , Sophie Cerf , Robert Birke , Bogdan Robu , Sara Bouchenak , Sonia Ben Mokhtar, and Lydia Y Chen . 2019 . Robust Anomaly Detection on Unreliable Data. In DSN. Zilong Zhao, Sophie Cerf, Robert Birke, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, and Lydia Y Chen. 2019. Robust Anomaly Detection on Unreliable Data. In DSN."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"crossref","unstructured":"Haibing Zheng Dengfeng Li Beihai Liang Xia Zeng Wujie Zheng Yuetang Deng Wing Lam Wei Yang and Tao Xie. 2017. Automated Test Input Generation for Android: Towards Getting There in an Industrial Case. In ICSE-SEIP.  Haibing Zheng Dengfeng Li Beihai Liang Xia Zeng Wujie Zheng Yuetang Deng Wing Lam Wei Yang and Tao Xie. 2017. Automated Test Input Generation for Android: Towards Getting There in an Industrial Case. In ICSE-SEIP.","DOI":"10.1109\/ICSE-SEIP.2017.32"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"crossref","unstructured":"Xiang Zhou Xin Peng Tao Xie Jun Sun Chao Ji Dewei Liu Qilin Xiang and Chuan He. 2019. Latent Error Prediction and Fault Localization for Microservice Applications by Learning from System Trace Logs. In ESEC\/FSE.  Xiang Zhou Xin Peng Tao Xie Jun Sun Chao Ji Dewei Liu Qilin Xiang and Chuan He. 2019. Latent Error Prediction and Fault Localization for Microservice Applications by Learning from System Trace Logs. In ESEC\/FSE.","DOI":"10.1145\/3338906.3338961"}],"event":{"name":"ESEC\/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","location":"Athens Greece","acronym":"ESEC\/FSE '21","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468264.3468554","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3468264.3468554","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3468264.3468554","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:50Z","timestamp":1750195490000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468264.3468554"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,18]]},"references-count":54,"alternative-id":["10.1145\/3468264.3468554","10.1145\/3468264"],"URL":"https:\/\/doi.org\/10.1145\/3468264.3468554","relation":{},"subject":[],"published":{"date-parts":[[2021,8,18]]},"assertion":[{"value":"2021-08-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}