Kim Herzig

According to our database, Kim Herzig authored at least 39 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Case Study of Developer Bots: Motivations, Perceptions, and Challenges.

Sumit Asthana, Hitesh Sajnani, Elena Voyloshnikova, Birendra Acharya, Kim Herzig

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft.

Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

2022

Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations.

Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen

CoRR, 2022

Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale.

Chandra Shekhar Maddila, Suhas Shanbhogue, Apoorva Agrawal, Thomas Zimmermann, Chetan Bansal, Nicole Forsgren, Divyanshu Agrawal, Kim Herzig, Arie van Deursen

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Microsoft CloudMine: Data Mining for the Executive Order on Improving the Nation's Cybersecurity.

Kim Herzig, Luke Ghostling, Maximilian Grothusmann, Sascha Just, Nora Huang, Alan Klimowski, Yashasvini Ramkumar, Myles McLeroy, Kivanç Muslu, Hitesh Sajnani, Varsha Vadaga

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021

Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale.

Chandra Shekhar Maddila, Apoorva Agrawal, Thomas Zimmermann, Nicole Forsgren, Kim Herzig, Arie van Deursen

CoRR, 2021

Research Tools, Survey Responses, and Interview Analysis from a Case Study of Onboarding Software Teams at Microsoft.

An Ju, Hitesh Sajnani, Scot Kelly, Kim Herzig

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

A Case Study of Onboarding in Software Teams: Tasks and Strategies.

An Ju, Hitesh Sajnani, Scot Kelly, Kim Herzig

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2019

Summary of the 14th edition of the IEEE/ACM Workshop on Automation of Software Test (AST).

Byoungju Choi, María José Escalona Cuaresma, Kim Herzig

ACM SIGSOFT Softw. Eng. Notes, 2019

Towards predicting the impact of software changes on building activities.

Michele Tufano, Hitesh Sajnani, Kim Herzig

Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results, 2019

2018

Understanding, Debugging, and Optimizing Distributed Software Builds: A Design Study.

Carlene Lebeuf, Elena Voyloshnikova, Kim Herzig, Margaret-Anne D. Storey

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

Testing and continuous integration at scale: limits, costs, and expectations.

Kim Herzig

Proceedings of the 11th International Workshop on Search-Based Software Testing, 2018

2017

Risk-Based Attack Surface Approximation: How Much Data Is Enough?

Christopher Theisen, Kim Herzig, Brendan Murphy, Laurie A. Williams

Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice Track, 2017

2016

The impact of tangled code changes on defect prediction models.

Kim Herzig, Sascha Just, Andreas Zeller

Empir. Softw. Eng., 2016

Switching to Git: The Good, the Bad, and the Ugly.

Sascha Just, Kim Herzig, Jacek Czerwonka, Brendan Murphy

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

Gotchas from mining bug reports.

Sascha Just, Kim Herzig

Proceedings of the Perspectives on Data Science for Software Engineering, 2016

There's never enough time to do all the testing you want.

Kim Herzig

Proceedings of the Perspectives on Data Science for Software Engineering, 2016

2015

The Impact of Test Ownership and Team Structure on the Reliability, Effectiveness of Quality Test Runs.

Kim Herzig, Nachiappan Nagappan

Proceedings of the Software Engineering & Management 2015, Multikonferenz der GI-Fachbereiche Softwaretechnik (SWT) und Wirtschaftsinformatik (WI), FA WI-MAW, 17. März, 2015

It's Not a Bug, It's a Feature: How Misclassification Impacts Bug Prediction.

Kim Herzig, Sascha Just, Andreas Zeller

Proceedings of the Software Engineering & Management 2015, Multikonferenz der GI-Fachbereiche Softwaretechnik (SWT) und Wirtschaftsinformatik (WI), FA WI-MAW, 17. März, 2015

Code Ownership and Software Quality: A Replication Study.

Michaela Greiler, Kim Herzig, Jacek Czerwonka

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

Approximating Attack Surfaces with Stack Traces.

Christopher Theisen, Kim Herzig, Patrick Morrison, Brendan Murphy, Laurie A. Williams

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Empirically Detecting False Test Alarms Using Association Rules.

Kim Herzig, Nachiappan Nagappan

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

The Art of Testing Less without Sacrificing Quality.

Kim Herzig, Michaela Greiler, Jacek Czerwonka, Brendan Murphy

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Challenges with applying vulnerability prediction models.

Patrick Morrison, Kim Herzig, Brendan Murphy, Laurie A. Williams

Proceedings of the 2015 Symposium and Bootcamp on the Science of Security, 2015

2014

Using Pre-Release Test Failures to Build Early Post-Release Defect Prediction Models.

Kim Herzig

Proceedings of the 25th IEEE International Symposium on Software Reliability Engineering, 2014

The impact of test ownership and team structure on the reliability and effectiveness of quality test runs.

Kim Herzig, Nachiappan Nagappan

Proceedings of the 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2014

Mining Bug Data - A Practitioner's Guide.

Kim Herzig, Andreas Zeller

Proceedings of the Recommendation Systems in Software Engineering, 2014

2013

Mining and untangling change genealogies.

Kim Sebastian Herzig

PhD thesis, 2013

The impact of tangled code changes.

Kim Herzig, Andreas Zeller

Proceedings of the 10th Working Conference on Mining Software Repositories, 2013

Predicting defects using change genealogies.

Kim Herzig, Sascha Just, Andreas Rau, Andreas Zeller

Proceedings of the IEEE 24th International Symposium on Software Reliability Engineering, 2013

2012

Fuzzing with Code Fragments.

Christian Holler, Kim Herzig, Andreas Zeller

Proceedings of the 21th USENIX Security Symposium, Bellevue, WA, USA, August 8-10, 2012, 2012

2011

Mining Cause-Effect-Chains from Version Histories.

Kim Herzig, Andreas Zeller

Proceedings of the IEEE 22nd International Symposium on Software Reliability Engineering, 2011

An Empirical Study on the Relation between Dependency Neighborhoods and Failures.

Thomas Zimmermann, Nachiappan Nagappan, Kim Herzig, Rahul Premraj, Laurie A. Williams

Proceedings of the Fourth IEEE International Conference on Software Testing, 2011

Network Versus Code Metrics to Predict Defects: A Replication Study.

Rahul Premraj, Kim Herzig

Proceedings of the 5th International Symposium on Empirical Software Engineering and Measurement, 2011

Mining Your Own Evidence.

Kim Sebastian Herzig, Andreas Zeller

Proceedings of the Making Software - What Really Works, and Why We Believe It., 2011

2010

Change Bursts as Defect Predictors.

Nachiappan Nagappan, Andreas Zeller, Thomas Zimmermann, Kim Herzig, Brendan Murphy

Proceedings of the IEEE 21st International Symposium on Software Reliability Engineering, 2010

Capturing the long-term impact of changes.

Kim Sebastian Herzig

Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, 2010

2009

Mining the Jazz repository: Challenges and opportunities.

Kim Herzig, Andreas Zeller

Proceedings of the 6th International Working Conference on Mining Software Repositories, 2009

Predicting defects in SAP Java code: An experience report.

Tilman Holschuh, Markus Pauser, Kim Herzig, Thomas Zimmermann, Rahul Premraj, Andreas Zeller

Proceedings of the 31st International Conference on Software Engineering, 2009