SDD 2023 Contributors

Dates to be announced San Francisco, California, United States

co-located with ESEC/FSE 2023

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Results (27)

A Salwa AlamirAlamir, Salwa J.P. Morgan AI ResearchUnited Kingdom Code Revert Prediction with Graph Neural Networks: A Case Study at JP Morgan
Salwa AlamirAlamir, Salwa JP Morgan - Chase Log Summarisation for Defect Evolution Analysis
B Jonathan BellBell, Jonathan Northeastern UniversityUnited States Building Reproducible Flaky Test Datasets PC Member in Program Committee within the SDD-track
Christian BirdBird, Christian Microsoft ResearchUnited States PC Member in Program Committee within the SDD-track
Florian BlumBlum, Florian University of Duisburg-Essen Towards Assessing the Real-World Impact of Defects in Blockchain-based Smart Contracts
D Rares DolgaDolga, Rares J.P. Morgan AI Research Code Revert Prediction with Graph Neural Networks: A Case Study at JP Morgan
Rares DolgaDolga, Rares J.P. Morgan AI Research Log Summarisation for Defect Evolution Analysis
G Volker GruhnGruhn, Volker University Duisburg-Essen Towards Assessing the Real-World Impact of Defects in Blockchain-based Smart Contracts
H Michael HettmerHettmer, Michael University of Duisburg-Essen, Essen, GermanyGermany Towards Assessing the Real-World Impact of Defects in Blockchain-based Smart Contracts
J René JustJust, René University of WashingtonUnited States Defect mining is easy, curation is hard: lessons learned from building the Defects4J benchmark
N Santosh NagarakatteNagarakatte, Santosh Rutgers UniversityUnited States PC Member in Program Committee within the SDD-track
P Jens PalsbergPalsberg, Jens University of California, Los Angeles (UCLA)United States Using the Normalized Java Resource to Find Software Defects Software defect datasets: experiences, needs and opportunities. PC Member in Program Committee within the SDD-track
Pavel PanchekhaPanchekha, Pavel University of UtahUnited States PC Member in Program Committee within the SDD-track
Yulong PeiPei, Yulong J.P. Morgan AI Research Code Revert Prediction with Graph Neural Networks: A Case Study at JP Morgan
Michael PradelPradel, Michael University of StuttgartGermany SecBench.js: An Executable Security Benchmark Suite for Server-Side JavaScript
R Cindy Rubio-GonzálezRubio-González, Cindy University of California at DavisUnited States BugSwarm: Overview, Lessons Learned and Opportunities Organizer in Organizing Committee within the SDD-track
S Martin SchäfSchäf, Martin Amazon Web ServicesUnited States PC Member in Program Committee within the SDD-track
Benedikt SeverinSeverin, Benedikt University of Duisburg-Essen Towards Assessing the Real-World Impact of Defects in Blockchain-based Smart Contracts
Sameena ShahShah, Sameena J.P. Morgan AI ResearchUnited States Code Revert Prediction with Graph Neural Networks: A Case Study at JP Morgan Log Summarisation for Defect Evolution Analysis
Ridwan Salihin ShariffdeenShariffdeen, Ridwan Salihin National University of SingaporeSingapore Software defect datasets: experiences, needs and opportunities. PC Member in Program Committee within the SDD-track
Rui SilvaSilva, Rui JP Morgan - Chase Log Summarisation for Defect Evolution Analysis
T Frank TipTip, Frank Northeastern UniversityUnited States Software defect datasets: experiences, needs and opportunities.
Alexi TurcotteTurcotte, Alexi Northeastern UniversityUnited States PC Member in Program Committee within the SDD-track
W Xiaoyin WangWang, Xiaoyin University of Texas at San Antonio PC Member in Program Committee within the SDD-track
Ratnadira WidyasariWidyasari, Ratnadira BugsInPy: A Database of Existing Bugs in Python Projects
Z Hao-Nan ZhuZhu, Hao-Nan University of California, Davis On the Reproducibility of Software Defect Datasets
Ran ZmigrodZmigrod, Ran JP Morgan - Chase Log Summarisation for Defect Evolution Analysis