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Machine and Deep Learning for Programs

• Neural program repair by jointly learning to localize and repair
  Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh
  International Conference on Learning Representations (ICLR), 2019

• Deep reinforcement learning for syntactic error repair in student programs (PDF)
  Rahul Gupta, Aditya Kanade, Shirish Shevade
  AAAI Conference on Artificial Intelligence (AAAI), 2019.

• Greybox fuzzing as a contextual bandits problem (draft)
  Ketan Patil, Aditya Kanade
  Bandit AFL

• Active learning for efficient testing of student programs (Extended version)
  Ishan Rastogi, Aditya Kanade, Shirish Shevade
  Artificial Intelligence in Education (AIED), 2018.

• DeepFix: Fixing common C language errors by deep learning (PDF)
  Rahul Gupta, Soham Pal, Aditya Kanade, Shirish Shevade
  AAAI Conference on Artificial Intelligence (AAAI), 2017.
  DeepFix

• Semi-supervised verified feedback generation (PDF)
  Shalini Kaleeswaran, Anirudh Santhiar, Aditya Kanade, Sumit Gulwani
  Foundations of Software Engineering (FSE), 2016.
  CoderAssist

• Mining unit tests for discovery and migration of math APIs (PDF)
  Anirudh Santhiar, Omesh Pandita, Aditya Kanade
  ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 24(1), 2014.
  MathFinder
  

• MintHint: Automated synthesis of repair hints (PDF)
  Shalini Kaleeswaran, Varun Tulsian, Aditya Kanade, Alessandro Orso
  International Conference on Software Engineering (ICSE), 2014.
  MintHint, Teaser video

• MUX: Algorithm selection for software model checkers (PDF)
  Varun Tulsian, Aditya Kanade, Rahul Kumar, Akash Lal, Aditya Nori
  Mining Software Repositories (MSR), 2014.
  

• Discovering math APIs by mining unit tests (PDF)
  Anirudh Santhiar, Omesh Pandita, Aditya Kanade
  Fundamental Approaches to Software Engineering (FASE), 2013.
  MathFinder

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Concurrency and Distribution

• Event-based concurrency: Applications, abstractions and analyses
  Aditya Kanade
  Invited book chapter, Advances in Computers, Volume 112, 2018.
  

• Efficient computation of happens-before relation for event-driven programs (PDF)
  Pallavi Maiya, Aditya Kanade
  International Symposium on Software Testing and Analysis (ISSTA), 2017.
  EventTrack, Proofs
  

• Static deadlock detection for asynchronous C# programs (PDF)
  Anirudh Santhiar, Aditya Kanade
  Programming Language Design and Implementation (PLDI), 2017.
  DeadWait, Practical impact, Semantics
  

• Efficient race detection in the presence of programmatic event loops (PDF)
  Anirudh Santhiar, Shalini Kaleeswaran, Aditya Kanade
  International Symposium on Software Testing and Analysis (ISSTA), 2016.
  SparseRacer, Practical impact
  

• Partial order reduction for event-driven multi-threaded programs (PDF)
  Pallavi Maiya, Rahul Gupta, Aditya Kanade, Rupak Majumdar
  Tools and Algorithms for the Construction and Analysis of Systems (TACAS), 2016.
  EM-Explorer

• Rely/guarantee reasoning for asynchronous programs (PDF)
  Ivan Gavran, Filip Niksic, Aditya Kanade, Rupak Majumdar, Viktor Vafeiadis
  Concurrency Theory (CONCUR), 2015.
  

• Race detection for Android applications (PDF)
  Pallavi Maiya, Aditya Kanade, Rupak Majumdar
  Programming Language Design and Implementation (PLDI), 2014.
  DroidRacer
  

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Program Analysis and Verification

• Asynchrony-aware static analysis of Android applications (PDF)
  Ashish Mishra, Aditya Kanade, Y. N. Srikant
  Formal Methods and Models for System Design (MEMOCODE), 2016.
  

• P3: Partitioned path profiling (PDF)
  Mohammed Afraz, Diptikalyan Saha, Aditya Kanade
  Foundations of Software Engineering (FSE), 2015.

• Non-deterministic transducer models of retransmission protocols over noisy channels (PDF)
  Jay Thakkar, Aditya Kanade
  Information Processing Letters (IPL), Volume 115(9), 2015.

• Transducer-based algorithmic verification of retransmission protocols over noisy channels (PDF)
  Jay Thakkar, Aditya Kanade, Rajeev Alur
  Formal Techniques for Distributed Systems (FORTE), 2013.
  

• Static analysis for checking data format compatibility of programs (PDF)
  Pranavadatta Devaki, Aditya Kanade
  Foundations of Software Technology and Theoretical Computer Science (FSTTCS), 2012.

• A logic for correlating temporal properties across program transformations (PDF)
  Aditya Kanade, Amitabha Sanyal, Uday P. Khedker
  Technical Report, CoRR abs/1209.5152, 2012.
  

• Representation dependence testing using program inversion (PDF)
  Aditya Kanade, Rajeev Alur, Sriram Rajamani, G. Ramalingam
  Foundations of Software Engineering (FSE), 2010.
  

• Generating and analyzing symbolic traces of Simulink/Stateflow models (PDF)
  Aditya Kanade, Rajeev Alur, Franjo Ivančić, S. Ramesh, Sriram Sankaranarayanan, K.C. Shashidhar
  Computer Aided Verification (CAV), 2009.
  Prototype tool

• Validation of GCC optimizers through trace generation (PDF)
  Aditya Kanade, Amitabha Sanyal, Uday P. Khedker
  Software Practice and Experience (SPE), Volume 39(6), 2009.
  SPOTS

• Symbolic analysis for improving simulation coverage of Simulink/Stateflow models (PDF)
  Rajeev Alur, Aditya Kanade, S. Ramesh, K.C. Shashidhar
  Embedded Software (EMSOFT), 2008.
  ACM SIGBED EMSOFT best paper award

• Ranking automata and games for prioritized requirements (PDF)
  Rajeev Alur, Aditya Kanade, Gera Weiss
  Computer Aided Verification (CAV), 2008.

• Structuring optimizing transformations and proving them sound (PDF)
  Aditya Kanade, Amitabha Sanyal, Uday P. Khedker
  Electronic Notes in Theoretical Computer Science (ENTCS), Volume 176(3), 2007.
  SPOTS

• A PVS based framework for validating compiler optimizations (PDF)
  Aditya Kanade, Amitabha Sanyal, Uday P. Khedker
  Software Engineering and Formal Methods (SEFM), 2006.
  SPOTS

• Heterogeneous fixed points with application to points-to analysis (PDF)
  Aditya Kanade, Uday P. Khedker, Amitabha Sanyal
  Asian Symposium on Programming Languages and Systems (APLAS), 2005.