Alessandro Morari

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Graph Databases

Plagiarism Detection

Top Venues

Publications

Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Yunchung Chen, Jim Laredo, Alessandro Morari, Edward A. Epstein, Tsungnan Lin, Bo Yang, Zhong Su
Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT. Empir. Softw. Eng. 29 (2) (2024)
Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari, Udayan Khurana
Code Vulnerability Detection via Signal-Aware Learning. EuroS&P (2023)
Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri
Automated Code generation for Information Technology Tasks in YAML through Large Language Models. CoRR (2023)
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
CONCORD: Clone-Aware Contrastive Learning for Source Code. ISSTA (2023)
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
CONCORD: Clone-aware Contrastive Learning for Source Code. CoRR (2023)
Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari, Udayan Khurana
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. 32 (6) (2023)
Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri
Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. DAC (2023)
Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Alessandro Morari, Jim Laredo, Kevin Postlethwait, Christoph Görn
Varangian: A Git Bot for Augmented Static Analysis. MSR (2022)
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. ACL (1) (2022)
Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. SANER (2022)
Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. CoRR (2021)
Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. CoRR (2021)
Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari
Data-Driven and SE-assisted AI Model Signal-Awareness Enhancement and Introspection. CoRR (2021)
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
Contrastive Learning for Source Code with Structural and Functional Properties. CoRR (2021)
Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Alain Laredo, Alessandro Morari
Towards Reliable AI for Source Code Understanding. SoCC (2021)
Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Alain Laredo, Alessandro Morari
Probing model signal-awareness via prediction-preserving input minimization. ESEC/SIGSOFT FSE (2021)
Yufan Zhuang, Sahil Suneja, Veronika Thost, Giacomo Domeniconi, Alessandro Morari, Jim Laredo
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation. CoRR (2021)
Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. ICSE (SEIP) (2021)
Marcelo Amaral, Jordà Polo, David Carrera, Nelson M. Gonzalez, Chih-Chieh Yang, Alessandro Morari, Bruce D'Amora, Alaa Youssef, Malgorzata Steinder
DRMaestro: orchestrating disaggregated resources on virtualized data-centers. J. Cloud Comput. 10 (1) (2021)
Yunhui Zheng, Sahil Suneja, Yufan Zhuang, Alessandro Morari, Jim Laredo
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization. CoRR (2020)
Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Laredo, Alessandro Morari
Learning to map source code to software vulnerability using code-as-a-graph. CoRR (2020)
Luca Buratti, Saurabh Pujar, Mihaela A. Bornea, J. Scott McCarley, Yunhui Zheng, Gaetano Rossiello, Alessandro Morari, Jim Laredo, Veronika Thost, Yufan Zhuang, Giacomo Domeniconi
Exploring Software Naturalness through Neural Language Models. CoRR (2020)
Nelson Mimura Gonzalez, Alessandro Morari, Fabio Checconi
Jitter-Trace: a low-overhead OS noise tracing tool based on Linux Perf. ROSS@HPDC (2017)
Daniel G. Chavarría-Miranda, Vito Giovanni Castellana, Alessandro Morari, David Haglin, John Feo
GraQL: A Query Language for High-Performance Attributed Graph Databases. IPDPS Workshops (2016)
Alessandro Morari, Jesse Weaver, Oreste Villa, David J. Haglin, Antonino Tumeo, Vito Giovanni Castellana, John Feo
High-Performance, Distributed Dictionary Encoding of RDF Datasets. CLUSTER (2015)
Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
High Level Synthesis of RDF Queries for Graph Analytics. ICCAD (2015)
Vito Giovanni Castellana, Alessandro Morari, Jesse Weaver, Antonino Tumeo, David Haglin, Oreste Villa, John Feo
In-Memory Graph Databases for Web-Scale Data. Computer 48 (3) (2015)
Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Antonino Tumeo, Jesse Weaver, David Haglin, Sutanay Choudhury, John Feo
Scaling Semantic Graph Databases in Size and Performance. IEEE Micro 34 (4) (2014)
Jesse Weaver, Vito Giovanni Castellana, Alessandro Morari, Antonino Tumeo, Sumit Purohit, Alan R. Chappell, David Haglin, Oreste Villa, Sutanay Choudhury, Karen Schuchardt, John Feo
Toward a data scalable solution for facilitating discovery of science resources. Parallel Comput. 40 (10) (2014)
Alessandro Morari, Antonino Tumeo, Daniel G. Chavarría-Miranda, Oreste Villa, Mateo Valero
Scaling Irregular Applications through Data Aggregation and Software Multithreading. IPDPS (2014)
Alessandro Morari, Vito Giovanni Castellana, David Haglin, John Feo, Jesse Weaver, Antonino Tumeo, Oreste Villa
Accelerating semantic graph databases on commodity clusters. IEEE BigData (2013)
Alan R. Chappell, Sutanay Choudhury, John Feo, David J. Haglin, Alessandro Morari, Sumit Purohit, Karen Schuchardt, Antonino Tumeo, Jesse Weaver, Oreste Villa
Toward a data scalable solution for facilitating discovery of scientific data resources. DISCS@SC (2013)
Alessandro Morari, Carlos Boneti, Francisco J. Cazorla, Roberto Gioiosa, Chen-Yong Cher, Alper Buyuktosunoglu, Pradip Bose, Mateo Valero
SMT Malleability in IBM POWER5 and POWER6 Processors. IEEE Trans. Computers 62 (4) (2013)
Alessandro Morari, Mateo Valero
HPC System Software for Regular and Irregular Parallel Applications. IPDPS Workshops (2013)
Alessandro Morari, Antonino Tumeo, Oreste Villa, Simone Secchi, Mateo Valero
Efficient Sorting on the Tilera Manycore Architecture. SBAC-PAD (2012)
Alessandro Morari, Roberto Gioiosa, Robert W. Wisniewski, Bryan S. Rosenburg, Todd Inglett, Mateo Valero
Evaluating the Impact of TLB Misses on Future HPC Systems. IPDPS (2012)
Alessandro Morari, Roberto Gioiosa, Robert W. Wisniewski, Francisco J. Cazorla, Mateo Valero
A Quantitative Analysis of OS Noise. IPDPS (2011)