SDD 2023 – Proceedings

1st International Workshop on Software Defect Datasets (SDD 2023)

Frontmatter

Papers

Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase
Yulong Pei, Salwa Alamir, Rares Dolga, and Sameena Shah
(JPMorgan AI Research, UK)


@InProceedings{SDD23p1, author = {Yulong Pei and Salwa Alamir and Rares Dolga and Sameena Shah}, title = {Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase}, booktitle = {Proc.\ SDD}, publisher = {ACM}, pages = {1-0}, doi = {10.1145/3617572.3617879}, year = {2023}, } Publisher's Version

Towards Assessing the Real-World Impact of Defects in Blockchain-Based Smart Contracts
Michael Hettmer, Benedikt Severin, Florian Blum, and Volker Gruhn
(University of Duisburg-Essen, Germany)


@InProceedings{SDD23p8, author = {Michael Hettmer and Benedikt Severin and Florian Blum and Volker Gruhn}, title = {Towards Assessing the Real-World Impact of Defects in Blockchain-Based Smart Contracts}, booktitle = {Proc.\ SDD}, publisher = {ACM}, pages = {8-7}, doi = {10.1145/3617572.3617880}, year = {2023}, } Publisher's Version Published Artifact Artifacts Available

Log Summarisation for Defect Evolution Analysis
Rares Dolga, Ran Zmigrod, Rui Silva, Salwa Alamir, and Sameena Shah
(JPMorgan Chase, UK)


@InProceedings{SDD23p15, author = {Rares Dolga and Ran Zmigrod and Rui Silva and Salwa Alamir and Sameena Shah}, title = {Log Summarisation for Defect Evolution Analysis}, booktitle = {Proc.\ SDD}, publisher = {ACM}, pages = {15-14}, doi = {10.1145/3617572.3617881}, year = {2023}, } Publisher's Version

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