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2020 – today
- 2024
[j15]Aashish Yadavally
, Yi Li, Shaohua Wang, Tien N. Nguyen:
A Learning-Based Approach to Static Program Slicing. Proc. ACM Program. Lang. 8(OOPSLA1): 83-109 (2024)- [j14]Aashish Yadavally, Yi Li, Tien N. Nguyen:
Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning. Proc. ACM Softw. Eng. 1(FSE): 271-292 (2024) - [j13]Yan Wang, Xiaoning Li, Tien N. Nguyen, Shaohua Wang, Chao Ni, Ling Ding:
Natural Is the Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models. Proc. ACM Softw. Eng. 1(FSE): 586-608 (2024) - [c149]Hridya Dhulipala, Aashish Yadavally, Tien N. Nguyen:
Planning to Guide LLM for Code Coverage Prediction. FORGE 2024: 24-34 - [c148]Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo, Tien N. Nguyen:
Programming Assistant for Exception Handling with CodeBERT. ICSE 2024: 94:1-94:13 - [c147]David O'Brien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan:
Data-Driven Evidence-Based Syntactic Sugar Design. ICSE 2024: 203:1-203:12 - [c146]Yi Li, Tien N. Nguyen, Shaohua Wang, Aashish Yadavally:
Poirot: Deep Learning for API Misuse Detection. ICSE Companion 2024: 302-303 - [c145]Yi Li, Tien N. Nguyen, Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo:
Neural Exception Handling Recommender. ICSE Companion 2024: 316-317 - [c144]Tri Le, Thien Tran, Duy Cao, Vy Le, Tien N. Nguyen, Vu Nguyen:
KAT: Dependency-Aware Automated API Testing with Large Language Models. ICST 2024: 82-92 - [c143]Hieu Huynh, Nhu Pham, Tien N. Nguyen, Vu Nguyen:
Segment-Based Test Case Prioritization: A Multi-objective Approach. ISSTA 2024: 1149-1160 - [c142]Hieu Huynh, Quoc-Tri Le, Tien N. Nguyen, Vu Nguyen:
Using LLM for Mining and Testing Constraints in API Testing. ASE 2024: 2486-2487 - [c141]Hai Phung, Hao Pham, Tien N. Nguyen, Vu Nguyen:
VisiDroid: An Approach for Generating Test Scripts from Task Descriptions for Mobile Testing. PRICAI (5) 2024: 67-78 - [i18]David O'Brien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan:
Data-Driven Evidence-Based Syntactic Sugar Design. CoRR abs/2402.01079 (2024) - [i17]Huy Nhat Phan, Hoang Nhat Phan, Tien N. Nguyen, Nghi D. Q. Bui:
RepoHyper: Better Context Retrieval Is All You Need for Repository-Level Code Completion. CoRR abs/2403.06095 (2024) - [i16]Xin Yin, Chao Ni, Tien N. Nguyen, Shaohua Wang, Xiaohu Yang:
Rectifier: Code Translation with Corrector via LLMs. CoRR abs/2407.07472 (2024) - [i15]Hieu Huynh, Nhu Pham, Tien N. Nguyen, Vu Nguyen:
Segment-Based Test Case Prioritization: A Multi-objective Approach. CoRR abs/2408.00705 (2024) - [i14]Cuong Chi Le, Hoang Nhat Phan, Huy Nhat Phan, Tien N. Nguyen, Nghi D. Q. Bui:
Learning to Predict Program Execution by Modeling Dynamic Dependency on Code Graphs. CoRR abs/2408.02816 (2024) - [i13]Cuong Chi Le, Hoang Chau Truong Vinh, Huy Nhat Phan, Dung Duy Le, Tien N. Nguyen, Nghi D. Q. Bui:
VISUALCODER: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning. CoRR abs/2410.23402 (2024) - 2023
- [c140]Hung Quoc To, Nghi D. Q. Bui, Jin L. C. Guo, Tien N. Nguyen:
Better Language Models of Code through Self-Improvement. ACL (Findings) 2023: 12994-13002 - [c139]Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, Aashish Yadavally:
DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection. ICSE 2023: 2249-2261 - [c138]Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, Shaohua Wang:
(Partial) Program Dependence Learning. ICSE 2023: 2501-2513 - [c137]Yi Li, Shaohua Wang, Tien N. Nguyen:
Contextuality of Code Representation Learning. ASE 2023: 548-559 - [c136]Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen:
DeMinify: Neural Variable Name Recovery and Type Inference. ESEC/SIGSOFT FSE 2023: 758-770 - [c135]Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen:
Commit-Level, Neural Vulnerability Detection and Assessment. ESEC/SIGSOFT FSE 2023: 1024-1036 - [c134]Cuong Nguyen, Huy Bui, Vu Nguyen, Tien N. Nguyen:
An Approach to Generating API Test Scripts Using GPT. SoICT 2023: 501-509 - [p3]Tien N. Nguyen:
Statistical Models and Machine Learning to Advance Code Completion: Are We There Yet? Optimising the Software Development Process with Artificial Intelligence 2023: 121-153 - [i12]Hung Quoc To, Nghi D. Q. Bui, Jin Guo, Tien N. Nguyen:
Better Language Models of Code through Self-Improvement. CoRR abs/2304.01228 (2023) - 2022
- [j12]Yi Li, Shaohua Wang, Wenbo Wang, Tien N. Nguyen, Yan Wang, Xinyue Ye:
Rap4DQ: Learning to recommend relevant API documentation for developer questions. Empir. Softw. Eng. 27(1): 23 (2022) - [c133]Anh Tuan Nguyen, Tien N. Nguyen:
Incremental Relational Topic Model for Duplicate Bug Report Detection. APSEC 2022: 99-108 - [c132]Yi Li, Shaohua Wang, Tien N. Nguyen:
DEAR: A Novel Deep Learning-based Approach for Automated Program Repair. ICSE 2022: 511-523 - [c131]Hoan Anh Nguyen, Hung Dang Phan, Syeda Khairunnesa Samantha, Son Nguyen, Aashish Yadavally, Shaohua Wang, Hridesh Rajan, Tien N. Nguyen:
A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications. ASE 2022: 2:1-2:13 - [c130]Anh Tuan Nguyen, Aashish Yadavally, Tien N. Nguyen:
Next Syntactic-Unit Code Completion and Applications. ASE 2022: 180:1-180:5 - [c129]Phuoc Pham, Vu Nguyen, Tien N. Nguyen:
A Review of AI-augmented End-to-End Test Automation Tools. ASE 2022: 214:1-214:4 - [c128]Khang Pham, Vu Nguyen, Tien N. Nguyen:
Application of Natural Language Processing Towards Autonomous Software Testing. ASE 2022: 216:1-216:4 - [c127]Kiet Ngo, Vu Nguyen, Tien N. Nguyen:
Research on Test Flakiness: from Unit to System Testing. ASE 2022: 218:1-218:4 - [c126]Tien N. Nguyen:
SimuV: model-based configuration management for Simulink models. MoDELS (Companion) 2022: 85-86 - [c125]Yi Li, Shaohua Wang, Tien N. Nguyen:
UTANGO: untangling commits with context-aware, graph-based, code change clustering learning model. ESEC/SIGSOFT FSE 2022: 221-232 - [c124]Yi Li, Shaohua Wang, Tien N. Nguyen:
Fault localization to detect co-change fixing locations. ESEC/SIGSOFT FSE 2022: 659-671 - [c123]Thanh V. Nguyen, Aashish Yadavally, Tien N. Nguyen:
Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications. SANER 2022: 502-513 - [d1]José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano, Liyan Song, Leandro L. Minku, Fitsum Meshesha Kifetew, Anna Perini, Angelo Susi, Antonio Garmendia, Dominik Bork, Martin Eisenberg, Thiago do Nascimento Ferreira, Marouane Kessentini, Manuel Wimmer, Tien N. Nguyen, José Antonio Parejo, Ana Belén Sánchez, Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto, Robert Feldt, Michael Felderer, Eduard Paul Enoiu, Sahar Tahvili, Foutse Khomh, Mohammad Masudur Rahman, Antoine Barbez, Javier Ferrer, Pedro Delgado-Pérez, Aurora Ramírez, Breno Miranda:
Complementary material for the book "Optimising the Software Development Process with Artificial Intelligence". Zenodo, 2022
- [i11]Yi Li, Shaohua Wang, Tien N. Nguyen:
DEAR: A Novel Deep Learning-based Approach for Automated Program Repair. CoRR abs/2205.01859 (2022) - 2021
- [c122]Yi Li, Shaohua Wang, Tien N. Nguyen:
A Context-based Automated Approach for Method Name Consistency Checking and Suggestion. ICSE 2021: 574-586 - [c121]Yi Li, Shaohua Wang, Tien N. Nguyen:
Fault Localization with Code Coverage Representation Learning. ICSE 2021: 661-673 - [c120]Tien N. Nguyen, Kim-Kwang Raymond Choo:
Human-in-the-Loop XAI-enabled Vulnerability Detection, Investigation, and Mitigation. ASE 2021: 1210-1212 - [c119]Yi Li, Shaohua Wang, Tien N. Nguyen:
Vulnerability detection with fine-grained interpretations. ESEC/SIGSOFT FSE 2021: 292-303 - [e3]Charlie Curtsinger, Tien N. Nguyen:
Proceedings of the 2021 ACM SIGPLAN International Symposium on SPLASH-E, Chicago, IL, USA. October 20, 2021. ACM 2021, ISBN 978-1-4503-9089-7 [contents] - [i10]Yi Li, Shaohua Wang, Tien N. Nguyen:
A Context-based Automated Approach for Method Name Consistency Checking and Suggestion. CoRR abs/2103.00269 (2021) - [i9]Yi Li, Shaohua Wang, Tien N. Nguyen:
Fault Localization with Code Coverage Representation Learning. CoRR abs/2103.00270 (2021) - [i8]Yi Li, Shaohua Wang, Tien N. Nguyen:
Vulnerability Detection with Fine-grained Interpretations. CoRR abs/2106.10478 (2021) - 2020
- [c118]Yi Li, Shaohua Wang, Tien N. Nguyen:
Improving automated program repair using two-layer tree-based neural networks. ICSE (Companion Volume) 2020: 316-317 - [c117]Yi Li, Shaohua Wang, Tien N. Nguyen:
An empirical study on the characteristics of question-answering process on developer forums. ICSE (Companion Volume) 2020: 318-319 - [c116]Yi Li, Shaohua Wang, Tien N. Nguyen:
DLFix: context-based code transformation learning for automated program repair. ICSE 2020: 602-614 - [c115]Son Nguyen, Hung Phan, Trinh Le, Tien N. Nguyen:
Suggesting natural method names to check name consistencies. ICSE 2020: 1372-1384 - [c114]Jiahao Fan, Yi Li, Shaohua Wang, Tien N. Nguyen:
A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries. MSR 2020: 508-512 - [c113]Sven Amann, Hoan Anh Nguyen, Sarah Nadi, Tien N. Nguyen, Mira Mezini:
Investigating Next Steps in Static API-Misuse Detection. SE 2020: 109-110 - [i7]Maxime Gallais-Jimenez, Hoan Anh Nguyen, Mohamed Aymen Saied, Tien N. Nguyen, Houari A. Sahraoui:
API Misuse Detection An Immune System inspired Approach. CoRR abs/2012.14078 (2020)
2010 – 2019
- 2019
- [j11]Hung Viet Nguyen, Hung Dang Phan, Christian Kästner, Tien N. Nguyen:
Exploring output-based coverage for testing PHP web applications. Autom. Softw. Eng. 26(1): 59-85 (2019) - [j10]Yi Li, Shaohua Wang, Tien N. Nguyen, Son Van Nguyen:
Improving bug detection via context-based code representation learning and attention-based neural networks. Proc. ACM Program. Lang. 3(OOPSLA): 162:1-162:30 (2019) - [j9]Sven Amann, Hoan Anh Nguyen, Sarah Nadi, Tien N. Nguyen, Mira Mezini:
A Systematic Evaluation of Static API-Misuse Detectors. IEEE Trans. Software Eng. 45(12): 1170-1188 (2019) - [c112]Hoan Anh Nguyen, Tien N. Nguyen, Danny Dig, Son Nguyen, Hieu Tran, Michael Hilton:
Graph-based mining of in-the-wild, fine-grained, semantic code change patterns. ICSE 2019: 819-830 - [c111]Hieu Tran, Ngoc M. Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen:
Recovering variable names for minified code with usage contexts. ICSE 2019: 1165-1175 - [c110]Ngoc M. Tran, Hieu Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen:
Does BLEU score work for code migration? ICPC 2019: 165-176 - [c109]Son Nguyen, Hoan Nguyen, Ngoc M. Tran, Hieu Tran, Tien N. Nguyen:
Feature-Interaction Aware Configuration Prioritization for Configurable Code. ASE 2019: 489-501 - [c108]Son Van Nguyen, Tien N. Nguyen, Yi Li, Shaohua Wang:
Combining Program Analysis and Statistical Language Model for Code Statement Completion. ASE 2019: 710-721 - [c107]Musfiqur Rahman, Peter C. Rigby, Dharani Palani, Tien N. Nguyen:
Cleaning StackOverflow for machine translation. MSR 2019: 79-83 - [c106]Sven Amann, Hoan Anh Nguyen, Sarah Nadi, Tien N. Nguyen, Mira Mezini:
Investigating next steps in static API-misuse detection. MSR 2019: 265-275 - [i6]Hieu Tran, Ngoc M. Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen:
Recovering Variable Names for Minified Code with Usage Contexts. CoRR abs/1906.03488 (2019) - [i5]Ngoc M. Tran, Hieu Tran, Son Nguyen, Hoan Nguyen, Tien N. Nguyen:
Does BLEU Score Work for Code Migration? CoRR abs/1906.04903 (2019) - [i4]Yi Li, Shaohua Wang, Tien N. Nguyen, Son Van Nguyen, Xinyue Ye, Yan Wang:
An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums. CoRR abs/1909.02616 (2019) - [i3]Son Nguyen, Hoan Nguyen, Ngoc M. Tran, Hieu Tran, Tien N. Nguyen:
Feature-Interaction Aware Configuration Prioritization for Configurable Code. CoRR abs/1911.07779 (2019) - [i2]Son Van Nguyen, Tien N. Nguyen, Yi Li, Shaohua Wang:
Combining Program Analysis and Statistical Language Model for Code Statement Completion. CoRR abs/1911.07781 (2019) - 2018
- [c105]Thanh Van Nguyen, Tien N. Nguyen:
Inferring API elements relevant to an english query. ICSE (Companion Volume) 2018: 167-168 - [c104]Hung Phan, Hoan Anh Nguyen, Ngoc M. Tran, Linh H. Truong, Anh Tuan Nguyen, Tien N. Nguyen:
Statistical learning of API fully qualified names in code snippets of online forums. ICSE 2018: 632-642 - [c103]Anh Tuan Nguyen, Peter C. Rigby, Thanh Nguyen, Dharani Palani, Mark Karanfil, Tien N. Nguyen:
Statistical Translation of English Texts to API Code Templates. ICSME 2018: 194-205 - [c102]Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan, Robert Dyer:
Towards combining usage mining and implementation analysis to infer API preconditions. WASPI@ESEC/SIGSOFT FSE 2018: 15-16 - [c101]Thanh Van Nguyen, Ngoc M. Tran, Hung Phan, Trong Duc Nguyen, Linh H. Truong, Anh Tuan Nguyen, Hoan Anh Nguyen, Tien N. Nguyen:
Complementing global and local contexts in representing API descriptions to improve API retrieval tasks. ESEC/SIGSOFT FSE 2018: 551-562 - [c100]Anh Tuan Nguyen, Trong Duc Nguyen, Hung Dang Phan, Tien N. Nguyen:
A deep neural network language model with contexts for source code. SANER 2018: 323-334 - [e2]Robert Dyer, Vasant G. Honavar, Gary T. Leavens, Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan:
Proceedings of the 1st ACM SIGSOFT International Workshop on Automated Specification Inference, WASPI@ESEC/SIGSOFT FSE, Lake Buena Vista, FL, USA, November 9, 2018. ACM 2018, ISBN 978-1-4503-6057-9 [contents] - 2017
- [j8]Syeda Khairunnesa Samantha, Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan:
Exploiting implicit beliefs to resolve sparse usage problem in usage-based specification mining. Proc. ACM Program. Lang. 1(OOPSLA): 83:1-83:29 (2017) - [j7]Xin Xia, David Lo, Ying Ding, Jafar M. Al-Kofahi, Tien N. Nguyen, Xinyu Wang:
Improving Automated Bug Triaging with Specialized Topic Model. IEEE Trans. Software Eng. 43(3): 272-297 (2017) - [c99]Sarah Nadi, Tien N. Nguyen, Hoan Nguyen, Sven Amann:
WAPI 2017 Workshop Summary. WAPI@ICSE 2017: 1 - [c98]Hung Phan, Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan:
Statistical Learning for Inference between Implementations and Documentation. ICSE-NIER 2017: 27-30 - [c97]Hung Dang Phan, Anh Tuan Nguyen, Trong Duc Nguyen, Tien N. Nguyen:
Statistical migration of API usages. ICSE (Companion Volume) 2017: 47-50 - [c96]Anh Tuan Nguyen, Tien N. Nguyen:
Automatic categorization with deep neural network for open-source Java projects. ICSE (Companion Volume) 2017: 164-166 - [c95]Thanh Van Nguyen, Anh Tuan Nguyen, Hung Dang Phan, Trong Duc Nguyen, Tien N. Nguyen:
Combining Word2Vec with revised vector space model for better code retrieval. ICSE (Companion Volume) 2017: 183-185 - [c94]Anh Tuan Nguyen, Peter C. Rigby, Thanh Van Nguyen, Mark Karanfil, Tien N. Nguyen:
Statistical translation of English texts to API code templates. ICSE (Companion Volume) 2017: 331-333 - [c93]Trong Duc Nguyen, Anh Tuan Nguyen, Hung Dang Phan, Tien N. Nguyen:
Exploring API embedding for API usages and applications. ICSE 2017: 438-449 - [c92]Hoan Anh Nguyen, Tung Thanh Nguyen, Tien N. Nguyen, Hung Viet Nguyen:
Interaction-Based Tracking of Program Entities for Test Case Evolution. ICSME 2017: 433-443 - [c91]An Ngoc Lam, Anh Tuan Nguyen, Hoan Anh Nguyen, Tien N. Nguyen:
Bug localization with combination of deep learning and information retrieval. ICPC 2017: 218-229 - [e1]Grigore Rosu, Massimiliano Di Penta, Tien N. Nguyen:
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, ASE 2017, Urbana, IL, USA, October 30 - November 03, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-2684-9 [contents] - [i1]Sven Amann, Hoan Anh Nguyen, Sarah Nadi, Tien N. Nguyen, Mira Mezini:
A Systematic Evaluation of API-Misuse Detectors. CoRR abs/1712.00242 (2017) - 2016
- [c90]Thanh Van Nguyen, Anh Tuan Nguyen, Tien N. Nguyen:
Characterizing API elements in software documentation with vector representation. ICSE (Companion Volume) 2016: 749-751 - [c89]Trong Duc Nguyen, Anh Tuan Nguyen, Tien N. Nguyen:
Mapping API elements for code migration with vector representations. ICSE (Companion Volume) 2016: 756-758 - [c88]Anh Tuan Nguyen, Zhaopeng Tu, Tien N. Nguyen:
Do Contexts Help in Phrase-Based, Statistical Source Code Migration? ICSME 2016: 155-165 - [c87]Hoan Anh Nguyen, Anh Tuan Nguyen, Tien N. Nguyen:
Using Topic Model to Suggest Fine-Grained Source Code Changes. ICSME 2016: 200-210 - [c86]Tien N. Nguyen:
Code migration with statistical machine translation. SoftwareMining@ASE 2016: 2 - [c85]Anh Tuan Nguyen, Hoan Anh Nguyen, Tien N. Nguyen:
A large-scale study on repetitiveness, containment, and composability of routines in open-source projects. MSR 2016: 362-373 - [c84]Sven Amann, Sarah Nadi, Hoan Anh Nguyen, Tien N. Nguyen, Mira Mezini:
MUBench: a benchmark for API-misuse detectors. MSR 2016: 464-467 - [c83]Anh Tuan Nguyen, Michael Hilton, Mihai Codoban, Hoan Anh Nguyen, Lily Mast, Eli Rademacher, Tien N. Nguyen, Danny Dig:
API code recommendation using statistical learning from fine-grained changes. SIGSOFT FSE 2016: 511-522 - [c82]Thanh Van Nguyen, Peter C. Rigby, Anh Tuan Nguyen, Mark Karanfil, Tien N. Nguyen:
T2API: synthesizing API code usage templates from English texts with statistical translation. SIGSOFT FSE 2016: 1013-1017 - 2015
- [j6]Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen:
Boa: Ultra-Large-Scale Software Repository and Source-Code Mining. ACM Trans. Softw. Eng. Methodol. 25(1): 7:1-7:34 (2015) - [c81]Shurui Zhou, Jafar M. Al-Kofahi, Tien N. Nguyen, Christian Kästner, Sarah Nadi:
Extracting Configuration Knowledge from Build Files with Symbolic Analysis. RELENG@ICSE 2015: 20-23 - [c80]Hridesh Rajan, Tien N. Nguyen, Gary T. Leavens, Robert Dyer:
Inferring Behavioral Specifications from Large-scale Repositories by Leveraging Collective Intelligence. ICSE (2) 2015: 579-582 - [c79]Hung Viet Nguyen, Christian Kästner, Tien N. Nguyen:
Varis: IDE Support for Embedded Client Code in PHP Web Applications. ICSE (2) 2015: 693-696 - [c78]Jafar M. Al-Kofahi, Lisong Guo, Hung Viet Nguyen, Hoan Anh Nguyen, Tien N. Nguyen:
Poster: Static Detection of Configuration-Dependent Bugs in Configurable Software. ICSE (2) 2015: 795-796 - [c77]Anh Tuan Nguyen, Tien N. Nguyen:
Graph-Based Statistical Language Model for Code. ICSE (1) 2015: 858-868 - [c76]An Ngoc Lam, Anh Tuan Nguyen, Hoan Anh Nguyen, Tien N. Nguyen:
Combining Deep Learning with Information Retrieval to Localize Buggy Files for Bug Reports (N). ASE 2015: 476-481 - [c75]Anh Tuan Nguyen, Tung Thanh Nguyen, Tien N. Nguyen:
Divide-and-Conquer Approach for Multi-phase Statistical Migration for Source Code (T). ASE 2015: 585-596 - [c74]Hoan Anh Nguyen, Robert Dyer, Tien N. Nguyen, Hridesh Rajan:
Consensus-based mining of API preconditions in big code. SPLASH (Companion Volume) 2015: 5-6 - [c73]Robert Dyer, Hridesh Rajan, Tien N. Nguyen, Hoan Anh Nguyen:
Demonstrating programming language feature mining using Boa. SPLASH (Companion Volume) 2015: 13-14 - [c72]Hung Viet Nguyen, Christian Kästner, Tien N. Nguyen:
Cross-language program slicing for dynamic web applications. ESEC/SIGSOFT FSE 2015: 369-380 - [c71]Hung Viet Nguyen, My Huu Nguyen, Son Cuu Dang, Christian Kästner, Tien N. Nguyen:
Detecting semantic merge conflicts with variability-aware execution. ESEC/SIGSOFT FSE 2015: 926-929 - [p2]Robert Dyer, Hoan Nguyen, Hridesh Rajan, Tien N. Nguyen:
Boa. The Art and Science of Analyzing Software Data 2015: 593-621 - 2014
- [j5]