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Shuvendu K. Lahiri
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation (PhD): Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation: Indian Institute of Technology, Kharagpur, India
- not to be confused with: S. K. Lahiri 0001
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2020 – today
- 2024
- [j14]Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu K. Lahiri:
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions? Proc. ACM Softw. Eng. 1(FSE): 1889-1912 (2024) - [j13]Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu K. Lahiri:
LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation. IEEE Trans. Software Eng. 50(9): 2254-2268 (2024) - [c80]Shuvendu K. Lahiri:
AI-Assisted User Intent Formalization for Programs: Problem and Applications (Invited Talk). AIware 2024 - [c79]Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Madan Musuvathi, Shuvendu K. Lahiri:
Exploring the Effectiveness of LLM based Test-driven Interactive Code Generation: User Study and Empirical Evaluation. ICSE Companion 2024: 390-391 - [c78]Sarah Fakhoury, Saikat Chakraborty, Madanlal Musuvathi, Shuvendu K. Lahiri:
NL2Fix: Generating Functionally Correct Code Edits from Bug Descriptions. ICSE Companion 2024: 410-411 - [c77]Elizabeth Dinella, Shuvendu K. Lahiri, Mayur Naik:
Inferring Natural Preconditions via Program Transformation. SIGSOFT FSE Companion 2024: 657-658 - [i37]Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu K. Lahiri:
LLM-based Test-driven Interactive Code Generation: User Study and Empirical Evaluation. CoRR abs/2404.10100 (2024) - [i36]Sarah Fakhoury, Markus Kuppe, Shuvendu K. Lahiri, Tahina Ramananandro, Nikhil Swamy:
3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers. CoRR abs/2404.10362 (2024) - [i35]Saikat Chakraborty, Gabriel Ebner, Siddharth Bhat, Sarah Fakhoury, Sakina Fatima, Shuvendu K. Lahiri, Nikhil Swamy:
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming. CoRR abs/2405.01787 (2024) - [i34]Jubi Taneja, Avery Laird, Cong Yan, Madan Musuvathi, Shuvendu K. Lahiri:
LLM-Vectorizer: LLM-based Verified Loop Vectorizer. CoRR abs/2406.04693 (2024) - [i33]Shuvendu K. Lahiri:
Evaluating LLM-driven User-Intent Formalization for Verification-Aware Languages. CoRR abs/2406.09757 (2024) - [i32]Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Jianan Yao, Weidong Cui, Yeyun Gong, Chris Hawblitzel, Shuvendu K. Lahiri, Jacob R. Lorch, Shuai Lu, Fan Yang, Ziqiao Zhou, Shan Lu:
AutoVerus: Automated Proof Generation for Rust Code. CoRR abs/2409.13082 (2024) - 2023
- [j12]Narges Shadab, Pritam M. Gharat, Shrey Tiwari, Michael D. Ernst, Martin Kellogg, Shuvendu K. Lahiri, Akash Lal, Manu Sridharan:
Inference of Resource Management Specifications. Proc. ACM Program. Lang. 7(OOPSLA2): 1705-1728 (2023) - [j11]Elizabeth Dinella, Todd Mytkowicz, Alexey Svyatkovskiy, Christian Bird, Mayur Naik, Shuvendu K. Lahiri:
DeepMerge: Learning to Merge Programs. IEEE Trans. Software Eng. 49(4): 1599-1614 (2023) - [c76]Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Akash Lal, Madanlal Musuvathi, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy:
Ranking LLM-Generated Loop Invariants for Program Verification. EMNLP (Findings) 2023: 9164-9175 - [c75]Caroline Lemieux, Jeevana Priya Inala, Shuvendu K. Lahiri, Siddhartha Sen:
CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models. ICSE 2023: 919-931 - [c74]Lakshya A. Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K. Lahiri, Sriram K. Rajamani:
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context. NeurIPS 2023 - [i31]Sarah Fakhoury, Saikat Chakraborty, Madan Musuvathi, Shuvendu K. Lahiri:
Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions. CoRR abs/2304.03816 (2023) - [i30]Lakshya A. Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K. Lahiri, Sriram K. Rajamani:
Guiding Language Models of Code with Global Context using Monitors. CoRR abs/2306.10763 (2023) - [i29]Narges Shadab, Pritam M. Gharat, Shrey Tiwari, Michael D. Ernst, Martin Kellogg, Shuvendu K. Lahiri, Akash Lal, Manu Sridharan:
Automatic Inference of Resource Leak Specifications. CoRR abs/2306.11953 (2023) - [i28]Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu K. Lahiri:
Formalizing Natural Language Intent into Program Specifications via Large Language Models. CoRR abs/2310.01831 (2023) - [i27]Elizabeth Dinella, Shuvendu K. Lahiri, Mayur Naik:
Program Structure Aware Precondition Generation. CoRR abs/2310.02154 (2023) - [i26]Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Madanlal Musuvathi, Akash Lal, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy:
Ranking LLM-Generated Loop Invariants for Program Verification. CoRR abs/2310.09342 (2023) - [i25]Adharsh Kamath, Aditya Senthilnathan, Saikat Chakraborty, Pantazis Deligiannis, Shuvendu K. Lahiri, Akash Lal, Aseem Rastogi, Subhajit Roy, Rahul Sharma:
Finding Inductive Loop Invariants using Large Language Models. CoRR abs/2311.07948 (2023) - [i24]Pritam M. Gharat, Narges Shadab, Shrey Tiwari, Shuvendu K. Lahiri, Akash Lal:
Resource Leak Checker (RLC#) for C# Code using CodeQL. CoRR abs/2312.01912 (2023) - 2022
- [j10]Bryan Tan, Benjamin Mariano, Shuvendu K. Lahiri, Isil Dillig, Yu Feng:
SolType: refinement types for arithmetic overflow in solidity. Proc. ACM Program. Lang. 6(POPL): 1-29 (2022) - [c73]Saikat Dutta, Diego Garbervetsky, Shuvendu K. Lahiri, Max Schäfer:
InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript. ICSE (SEIP) 2022: 165-174 - [c72]Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz, Shuvendu K. Lahiri:
TOGA: A Neural Method for Test Oracle Generation. ICSE 2022: 2130-2141 - [c71]Jialu Zhang, Todd Mytkowicz, Mike Kaufman, Ruzica Piskac, Shuvendu K. Lahiri:
Using pre-trained language models to resolve textual and semantic merge conflicts (experience paper). ISSTA 2022: 77-88 - [c70]Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao:
Fault-Aware Neural Code Rankers. NeurIPS 2022 - [c69]Sidi Mohamed Beillahi, Ahmed Bouajjani, Constantin Enea, Shuvendu K. Lahiri:
Automated Synthesis of Asynchronizations. SAS 2022: 135-159 - [c68]Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Elizabeth Dinella, Christian Bird, Jinu Jang, Neel Sundaresan, Shuvendu K. Lahiri:
Program merge conflict resolution via neural transformers. ESEC/SIGSOFT FSE 2022: 822-833 - [i23]Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao:
Fault-Aware Neural Code Rankers. CoRR abs/2206.03865 (2022) - [i22]Shuvendu K. Lahiri, Aaditya Naik, Georgios Sakkas, Piali Choudhury, Curtis von Veh, Madanlal Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao:
Interactive Code Generation via Test-Driven User-Intent Formalization. CoRR abs/2208.05950 (2022) - [i21]Sidi Mohamed Beillahi, Ahmed Bouajjani, Constantin Enea, Shuvendu K. Lahiri:
Automated Synthesis of Asynchronizations. CoRR abs/2209.06648 (2022) - 2021
- [c67]Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman:
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. ICSE 2021: 785-796 - [c66]Jon Stephens, Kostas Ferles, Benjamin Mariano, Shuvendu K. Lahiri, Isil Dillig:
SmartPulse: Automated Checking of Temporal Properties in Smart Contracts. SP 2021: 555-571 - [i20]Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman:
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. CoRR abs/2103.02004 (2021) - [i19]Elizabeth Dinella, Todd Mytkowicz, Alexey Svyatkovskiy, Christian Bird, Mayur Naik, Shuvendu K. Lahiri:
DeepMerge: Learning to Merge Programs. CoRR abs/2105.07569 (2021) - [i18]Alexey Svyatkovskiy, Todd Mytkowicz, Negar Ghorbani, Sarah Fakhoury, Elizabeth Dinella, Christian Bird, Neel Sundaresan, Shuvendu K. Lahiri:
MergeBERT: Program Merge Conflict Resolution via Neural Transformers. CoRR abs/2109.00084 (2021) - [i17]Elizabeth Dinella, Shuvendu K. Lahiri, Todd Mytkowicz, Gabriel Ryan:
Neural Unit Test Suggestions. CoRR abs/2109.09262 (2021) - [i16]Bryan Tan, Benjamin Mariano, Shuvendu K. Lahiri, Isil Dillig, Yu Feng:
SolType: Refinement Types for Solidity. CoRR abs/2110.00677 (2021) - [i15]Saikat Dutta, Diego Garbervetsky, Shuvendu K. Lahiri, Max Schäfer:
InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript. CoRR abs/2111.09625 (2021) - [i14]Jialu Zhang, Todd Mytkowicz, Mike Kaufman, Ruzica Piskac, Shuvendu K. Lahiri:
Can Pre-trained Language Models be Used to Resolve Textual and Semantic Merge Conflicts? CoRR abs/2111.11904 (2021) - 2020
- [c65]Shuvendu K. Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal:
Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost. FMCAD 2020: 169-178 - [c64]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
Learning from, understanding, and supporting DevOps artifacts for docker. ICSE 2020: 38-49 - [c63]Chungha Sung, Shuvendu K. Lahiri, Mike Kaufman, Pallavi Choudhury, Chao Wang:
Towards understanding and fixing upstream merge induced conflicts in divergent forks: an industrial case study. ICSE (SEIP) 2020: 172-181 - [c62]Chungha Sung, Shuvendu K. Lahiri, Mike Kaufman, Pallavi Choudhury, Jessica Wolk, Chao Wang:
Towards understanding and fixing upstream merge induced conflicts in divergent forks: an industrial case study. ICSE (Companion Volume) 2020: 320-321 - [c61]Benjamin Mariano, Yanju Chen, Yu Feng, Shuvendu K. Lahiri, Isil Dillig:
Demystifying Loops in Smart Contracts. ASE 2020: 262-274 - [c60]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
A Dataset of Dockerfiles. MSR 2020: 528-532 - [e4]Shuvendu K. Lahiri, Chao Wang:
Computer Aided Verification - 32nd International Conference, CAV 2020, Los Angeles, CA, USA, July 21-24, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12224, Springer 2020, ISBN 978-3-030-53287-1 [contents] - [e3]Shuvendu K. Lahiri, Chao Wang:
Computer Aided Verification - 32nd International Conference, CAV 2020, Los Angeles, CA, USA, July 21-24, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12225, Springer 2020, ISBN 978-3-030-53290-1 [contents] - [d4]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
ICSE 2020 Artifact for: Learning from, Understanding, and Supporting DevOps Artifacts for Docker. Zenodo, 2020 - [i13]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
Learning from, Understanding, and Supporting DevOps Artifacts for Docker. CoRR abs/2002.03064 (2020) - [i12]Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
A Dataset of Dockerfiles. CoRR abs/2003.12912 (2020)
2010 – 2019
- 2019
- [j9]Ahmed Bouajjani, Constantin Enea, Shuvendu K. Lahiri:
Abstract semantic diffing of evolving concurrent programs. Formal Methods Syst. Des. 54(1): 4-26 (2019) - [c59]Yuepeng Wang, Shuvendu K. Lahiri, Shuo Chen, Rong Pan, Isil Dillig, Cody Born, Immad Naseer, Kostas Ferles:
Formal Verification of Workflow Policies for Smart Contracts in Azure Blockchain. VSTTE 2019: 87-106 - [i11]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Enabling Open-World Specification Mining via Unsupervised Learning. CoRR abs/1904.12098 (2019) - 2018
- [j8]Jinghao Shi, Shuvendu K. Lahiri, Ranveer Chandra, Geoffrey Challen:
Wireless protocol validation under uncertainty. Formal Methods Syst. Des. 53(1): 33-53 (2018) - [j7]Shaobo He, Shuvendu K. Lahiri, Zvonimir Rakamaric:
Verifying Relative Safety, Accuracy, and Termination for Program Approximations. J. Autom. Reason. 60(1): 23-42 (2018) - [j6]Marcelo Sousa, Isil Dillig, Shuvendu K. Lahiri:
Verified three-way program merge. Proc. ACM Program. Lang. 2(OOPSLA): 165:1-165:29 (2018) - [j5]Yuepeng Wang, Isil Dillig, Shuvendu K. Lahiri, William R. Cook:
Verifying equivalence of database-driven applications. Proc. ACM Program. Lang. 2(POPL): 56:1-56:29 (2018) - [c58]Chungha Sung, Shuvendu K. Lahiri, Constantin Enea, Chao Wang:
Datalog-based scalable semantic diffing of concurrent programs. ASE 2018: 656-666 - [c57]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Code vectors: understanding programs through embedded abstracted symbolic traces. ESEC/SIGSOFT FSE 2018: 163-174 - [e2]Shuvendu K. Lahiri, Chao Wang:
Automated Technology for Verification and Analysis - 16th International Symposium, ATVA 2018, Los Angeles, CA, USA, October 7-10, 2018, Proceedings. Lecture Notes in Computer Science 11138, Springer 2018, ISBN 978-3-030-01089-8 [contents] - [d3]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Artifact for Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces. Zenodo, 2018 - [d2]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Artifact for Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces. Zenodo, 2018 - [d1]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Artifact for Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces. Zenodo, 2018 - [i10]Marcelo Sousa, Isil Dillig, Shuvendu K. Lahiri:
Verifying Semantic Conflict-Freedom in Three-Way Program Merges. CoRR abs/1802.06551 (2018) - [i9]Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces. CoRR abs/1803.06686 (2018) - [i8]Chungha Sung, Shuvendu K. Lahiri, Constantin Enea, Chao Wang:
Datalog-based Scalable Semantic Diffing of Concurrent Programs. CoRR abs/1807.03777 (2018) - [i7]Jinghao Shi, Shuvendu K. Lahiri, Ranveer Chandra, Geoffrey Challen:
VeriFi: Model-Driven Runtime Verification Framework for Wireless Protocol Implementations. CoRR abs/1808.03406 (2018) - [i6]Shuvendu K. Lahiri, Shuo Chen, Yuepeng Wang, Isil Dillig:
Formal Specification and Verification of Smart Contracts for Azure Blockchain. CoRR abs/1812.08829 (2018) - [i5]Shuvendu K. Lahiri, Andrzej S. Murawski, Ofer Strichman, Mattias Ulbrich:
Program Equivalence (Dagstuhl Seminar 18151). Dagstuhl Reports 8(4): 1-19 (2018) - 2017
- [c56]Tim Wood, Sophia Drossopoulou, Shuvendu K. Lahiri, Susan Eisenbach:
Modular Verification of Procedure Equivalence in the Presence of Memory Allocation. ESOP 2017: 937-963 - [c55]August Shi, Suresh Thummalapenta, Shuvendu K. Lahiri, Nikolaj S. Bjørner, Jacek Czerwonka:
Optimizing test placement for module-level regression testing. ICSE 2017: 689-699 - [c54]Alex Gyori, Shuvendu K. Lahiri, Nimrod Partush:
Refining interprocedural change-impact analysis using equivalence relations. ISSTA 2017: 318-328 - [c53]Ahmed Bouajjani, Constantin Enea, Shuvendu K. Lahiri:
Abstract Semantic Diffing of Evolving Concurrent Programs. SAS 2017: 46-65 - [e1]Shuvendu K. Lahiri, Giles Reger:
Runtime Verification - 17th International Conference, RV 2017, Seattle, WA, USA, September 13-16, 2017, Proceedings. Lecture Notes in Computer Science 10548, Springer 2017, ISBN 978-3-319-67530-5 [contents] - [i4]Yuepeng Wang, Isil Dillig, Shuvendu K. Lahiri, William R. Cook:
Verifying Equivalence of Database-Driven Applications. CoRR abs/1710.07660 (2017) - 2016
- [c52]Shaobo He, Shuvendu K. Lahiri, Zvonimir Rakamaric:
Verifying Relative Safety, Accuracy, and Termination for Program Approximations. NFM 2016: 237-254 - [c51]Jinghao Shi, Shuvendu K. Lahiri, Ranveer Chandra, Geoffrey Challen:
Wireless Protocol Validation Under Uncertainty. RV 2016: 351-367 - [i3]Alex Gyori, Shuvendu K. Lahiri, Nimrod Partush:
Interprocedural Semantic Change-Impact Analysis using Equivalence Relations. CoRR abs/1609.08734 (2016) - 2015
- [c50]Ankush Das, Shuvendu K. Lahiri, Akash Lal, Yi Li:
Angelic Verification: Precise Verification Modulo Unknowns. CAV (1) 2015: 324-342 - [c49]Shuvendu K. Lahiri, Rohit Sinha, Chris Hawblitzel:
Automatic Rootcausing for Program Equivalence Failures in Binaries. CAV (1) 2015: 362-379 - [c48]Mike Barnett, Christian Bird, João Brunet, Shuvendu K. Lahiri:
Helping Developers Help Themselves: Automatic Decomposition of Code Review Changesets. ICSE (1) 2015: 134-144 - 2014
- [c47]Francesco Logozzo, Shuvendu K. Lahiri, Manuel Fähndrich, Sam Blackshear:
Verification modulo versions: towards usable verification. PLDI 2014: 294-304 - 2013
- [c46]Chris Hawblitzel, Ming Kawaguchi, Shuvendu K. Lahiri, Henrique Rebêlo:
Towards Modularly Comparing Programs Using Automated Theorem Provers. CADE 2013: 282-299 - [c45]Sam Blackshear, Shuvendu K. Lahiri:
Almost-correct specifications: a modular semantic framework for assigning confidence to warnings. PLDI 2013: 209-218 - [c44]Chris Hawblitzel, Shuvendu K. Lahiri, Kshama Pawar, Hammad Hashmi, Sedar Gokbulut, Lakshan Fernando, Dave Detlefs, Scott Wadsworth:
Will you still compile me tomorrow? static cross-version compiler validation. ESEC/SIGSOFT FSE 2013: 191-201 - [c43]Shuvendu K. Lahiri, Kenneth L. McMillan, Rahul Sharma, Chris Hawblitzel:
Differential assertion checking. ESEC/SIGSOFT FSE 2013: 345-355 - [c42]Julien Vanegue, Shuvendu K. Lahiri:
Towards Practical Reactive Security Audit Using Extended Static Checkers. IEEE Symposium on Security and Privacy 2013: 33-47 - 2012
- [c41]Akash Lal, Shaz Qadeer, Shuvendu K. Lahiri:
A Solver for Reachability Modulo Theories. CAV 2012: 427-443 - [c40]Shuvendu K. Lahiri, Chris Hawblitzel, Ming Kawaguchi, Henrique Rebêlo:
SYMDIFF: A Language-Agnostic Semantic Diff Tool for Imperative Programs. CAV 2012: 712-717 - [c39]Saurabh Joshi, Shuvendu K. Lahiri, Akash Lal:
Underspecified harnesses and interleaved bugs. POPL 2012: 19-30 - 2011
- [c38]Shuvendu K. Lahiri:
SMT-Based Modular Analysis of Sequential Systems Code. CAV 2011: 21-27 - [c37]Patrice Godefroid, Shuvendu K. Lahiri:
From Program to Logic: An Introduction. LASER Summer School 2011: 31-44 - [c36]Shuvendu K. Lahiri, Shaz Qadeer:
Call Invariants. NASA Formal Methods 2011: 237-251 - [c35]Shuvendu K. Lahiri, Shaz Qadeer, David Walker:
Linear maps. PLPV 2011: 3-14 - [c34]Patrice Godefroid, Shuvendu K. Lahiri, Cindy Rubio-González:
Statically Validating Must Summaries for Incremental Compositional Dynamic Test Generation. SAS 2011: 112-128 - [c33]Shuvendu K. Lahiri, Julien Vanegue:
ExplainHoudini: Making Houdini Inference Transparent. VMCAI 2011: 309-323 - 2010
- [c32]Shuvendu K. Lahiri, Kapil Vaswani, C. A. R. Hoare:
Differential static analysis: opportunities, applications, and challenges. FoSER 2010: 201-204 - [c31]Shuvendu K. Lahiri, Alexander Malkis, Shaz Qadeer:
Abstract Threads. VMCAI 2010: 231-246 - [c30]Thomas Ball, Brian Hackett, Shuvendu K. Lahiri, Shaz Qadeer, Julien Vanegue:
Towards Scalable Modular Checking of User-Defined Properties. VSTTE 2010: 1-24
2000 – 2009
- 2009
- [j4]Shaunak Chatterjee, Shuvendu K. Lahiri, Shaz Qadeer, Zvonimir Rakamaric:
A low-level memory model and an accompanying reachability predicate. Int. J. Softw. Tools Technol. Transf. 11(2): 105-116 (2009) - [c29]Shuvendu K. Lahiri, Shaz Qadeer:
Complexity and Algorithms for Monomial and Clausal Predicate Abstraction. CADE 2009: 214-229 - [c28]Shuvendu K. Lahiri, Shaz Qadeer, Juan P. Galeotti, Jan W. Voung, Thomas Wies:
Intra-module Inference. CAV 2009: 493-508 - [c27]Shuvendu K. Lahiri, Shaz Qadeer, Zvonimir Rakamaric:
Static and Precise Detection of Concurrency Errors in Systems Code Using SMT Solvers. CAV 2009: 509-524 - [c26]Jeremy Condit, Brian Hackett, Shuvendu K. Lahiri, Shaz Qadeer:
Unifying type checking and property checking for low-level code. POPL 2009: 302-314 - 2008
- [c25]Chao Wang, Malay K. Ganai, Shuvendu K. Lahiri, Daniel Kroening:
Embedded software verification: challenges and solutions. ICCAD 2008: 5 - [c24]Carlos Pacheco, Shuvendu K. Lahiri, Thomas Ball:
Finding errors in .net with feedback-directed random testing. ISSTA 2008: 87-96 - [c23]Shuvendu K. Lahiri, Shaz Qadeer:
Back to the future: revisiting precise program verification using SMT solvers. POPL 2008: 171-182 - 2007
- [j3]Shuvendu K. Lahiri, Krishna K. Mehra:
Interpolant based Decision Procedure for Quantifier-Free Presburger Arithmetic. J. Satisf. Boolean Model. Comput. 1(3-4): 187-207 (2007) - [j2]Shuvendu K. Lahiri, Thomas Ball, Byron Cook:
Predicate Abstraction via Symbolic Decision Procedures. Log. Methods Comput. Sci. 3(2) (2007) - [j1]Shuvendu K. Lahiri, Randal E. Bryant:
Predicate abstraction with indexed predicates. ACM Trans. Comput. Log. 9(1): 4 (2007) - [c22]Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ernst, Thomas Ball:
Feedback-Directed Random Test Generation. ICSE 2007: 75-84 - [c21]Shaunak Chatterjee, Shuvendu K. Lahiri, Shaz Qadeer, Zvonimir Rakamaric:
A Reachability Predicate for Analyzing Low-Level Software. TACAS 2007: 19-33 - 2006
- [c20]Shuvendu K. Lahiri, Madanlal Musuvathi:
Solving Sparse Linear Constraints. IJCAR 2006: 468-482 - [c19]Shuvendu K. Lahiri, Robert Nieuwenhuis, Albert Oliveras:
SMT Techniques for Fast Predicate Abstraction. CAV 2006: 424-437 - [c18]Shuvendu K. Lahiri, Shaz Qadeer:
Verifying properties of well-founded linked lists. POPL 2006: 115-126 - [i2]Shuvendu K. Lahiri, Thomas Ball, Byron Cook:
Predicate Abstraction via Symbolic Decision Procedures. CoRR abs/cs/0612003 (2006) - 2005
- [c17]Shuvendu K. Lahiri, Thomas Ball, Byron Cook:
Predicate Abstraction via Symbolic Decision Procedures. CAV 2005: 24-38 - [c16]Shuvendu K. Lahiri, Madanlal Musuvathi:
An Efficient Decision Procedure for UTVPI Constraints. FroCoS 2005: 168-183 - [c15]Thomas Ball, Shuvendu K. Lahiri, Madanlal Musuvathi:
Zap: Automated Theorem Proving for Software Analysis. LPAR 2005: 2-22 - [c14]Shuvendu K. Lahiri, Madanlal Musuvathi:
An Efficient Nelson-Oppen Decision Procedure for Difference Constraints over Rationals. PDPAR@CAV 2005: 27-41 - 2004
- [c13]Shuvendu K. Lahiri, Randal E. Bryant:
Indexed Predicate Discovery for Unbounded System Verification. CAV 2004: 135-147 - [c12]Thomas Ball, Byron Cook, Shuvendu K. Lahiri, Lintao Zhang:
Zapato: Automatic Theorem Proving for Predicate Abstraction Refinement. CAV 2004: 457-461 - [c11]Shuvendu K. Lahiri, Sanjit A. Seshia:
The UCLID Decision Procedure. CAV 2004: 475-478 - [c10]Shuvendu K. Lahiri, Randal E. Bryant, Amit Goel, Muralidhar Talupur:
Revisiting Positive Equality. TACAS 2004: 1-15 - [c9]Shuvendu K. Lahiri, Randal E. Bryant:
Constructing Quantified Invariants via Predicate Abstraction. VMCAI 2004: 267-281 - [i1]Shuvendu K. Lahiri, Randal E. Bryant:
Predicate Abstraction with Indexed Predicates. CoRR cs.LO/0407006 (2004) - 2003
- [c8]Shuvendu K. Lahiri, Randal E. Bryant, Byron Cook:
A Symbolic Approach to Predicate Abstraction. CAV 2003: 141-153 - [c7]Shuvendu K. Lahiri, Randal E. Bryant:
Deductive Verification of Advanced Out-of-Order Microprocessors. CAV 2003: 341-353 - [c6]Randal E. Bryant, Shuvendu K. Lahiri, Sanjit A. Seshia:
Convergence Testing in Term-Level Bounded Model Checking. CHARME 2003: 348-362 - [c5]Sanjit A. Seshia, Shuvendu K. Lahiri, Randal E. Bryant:
A hybrid SAT-based decision procedure for separation logic with uninterpreted functions. DAC 2003: 425-430 - 2002
- [c4]Randal E. Bryant, Shuvendu K. Lahiri, Sanjit A. Seshia:
Modeling and Verifying Systems Using a Logic of Counter Arithmetic with Lambda Expressions and Uninterpreted Functions. CAV 2002: 78-92 - [c3]Shuvendu K. Lahiri, Sanjit A. Seshia, Randal E. Bryant:
Modeling and Verification of Out-of-Order Microprocessors in UCLID. FMCAD 2002: 142-159 - 2001
- [c2]Shuvendu K. Lahiri, Carl Pixley, Ken Albin:
Experience with term level modeling and verification of the M*CORE TM microprocessor core. HLDVT 2001: 109-114
1990 – 1999
- 1999
- [c1]Partha Pratim Chakrabarti, Pallab Dasgupta, Partha Pratim Das, Arnob Roy, Shuvendu K. Lahiri, Mrinal Bose:
Controlling State Explosion in Static Simulation by Selective Composition. VLSI Design 1999: 226-231
Coauthor Index
aka: Madanlal Musuvathi
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