Kim Herzig

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 24

Top Topics

Defect Prediction

Software Systems

Intra Organizational

Top Venues

Software Engineering & Management

Publications

Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft. ICSE-SEIP (2023)
Sumit Asthana, Hitesh Sajnani, Elena Voyloshnikova, Birendra Acharya, Kim Herzig
A Case Study of Developer Bots: Motivations, Perceptions, and Challenges. ESEC/SIGSOFT FSE (2023)
Chandra Shekhar Maddila, Suhas Shanbhogue, Apoorva Agrawal, Thomas Zimmermann, Chetan Bansal, Nicole Forsgren, Divyanshu Agrawal, Kim Herzig, Arie van Deursen
Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale. ESEC/SIGSOFT FSE (2022)
Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations. CoRR (2022)
Kim Herzig, Luke Ghostling, Maximilian Grothusmann, Sascha Just, Nora Huang, Alan Klimowski, Yashasvini Ramkumar, Myles McLeroy, Kivanç Muslu, Hitesh Sajnani, Varsha Vadaga
Microsoft CloudMine: Data Mining for the Executive Order on Improving the Nation's Cybersecurity. MSR (2022)
Chandra Shekhar Maddila, Apoorva Agrawal, Thomas Zimmermann, Nicole Forsgren, Kim Herzig, Arie van Deursen
Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale. CoRR (2021)
An Ju, Hitesh Sajnani, Scot Kelly, Kim Herzig
A Case Study of Onboarding in Software Teams: Tasks and Strategies. CoRR (2021)
An Ju, Hitesh Sajnani, Scot Kelly, Kim Herzig
A Case Study of Onboarding in Software Teams: Tasks and Strategies. ICSE (2021)
An Ju, Hitesh Sajnani, Scot Kelly, Kim Herzig
Research Tools, Survey Responses, and Interview Analysis from a Case Study of Onboarding Software Teams at Microsoft. ICSE (Companion Volume) (2021)
Michele Tufano, Hitesh Sajnani, Kim Herzig
Towards predicting the impact of software changes on building activities. ICSE (NIER) (2019)
Michele Tufano, Hitesh Sajnani, Kim Herzig
Towards Predicting the Impact of Software Changes on Building Activities. CoRR (2019)
Byoungju Choi, María José Escalona Cuaresma, Kim Herzig
Summary of the 14th edition of the IEEE/ACM Workshop on Automation of Software Test (AST). ACM SIGSOFT Softw. Eng. Notes 44 (3) (2019)
Carlene Lebeuf, Elena Voyloshnikova, Kim Herzig, Margaret-Anne D. Storey
Understanding, Debugging, and Optimizing Distributed Software Builds: A Design Study. ICSME (2018)
Kim Herzig
Testing and continuous integration at scale: limits, costs, and expectations. SBST@ICSE (2018)
Christopher Theisen, Kim Herzig, Brendan Murphy, Laurie A. Williams
Risk-Based Attack Surface Approximation: How Much Data Is Enough? ICSE-SEIP (2017)
Kim Herzig, Sascha Just, Andreas Zeller
The impact of tangled code changes on defect prediction models. Empir. Softw. Eng. 21 (2) (2016)
Sascha Just, Kim Herzig, Jacek Czerwonka, Brendan Murphy
Switching to Git: The Good, the Bad, and the Ugly. ISSRE (2016)
Michaela Greiler, Kim Herzig, Jacek Czerwonka
Code Ownership and Software Quality: A Replication Study. MSR (2015)
Kim Herzig, Sascha Just, Andreas Zeller
It's Not a Bug, It's a Feature: How Misclassification Impacts Bug Prediction. Software Engineering & Management (2015)
Kim Herzig, Michaela Greiler, Jacek Czerwonka, Brendan Murphy
The Art of Testing Less without Sacrificing Quality. ICSE (1) (2015)
Kim Herzig, Nachiappan Nagappan
The Impact of Test Ownership and Team Structure on the Reliability, Effectiveness of Quality Test Runs. Software Engineering & Management (2015)
Patrick Morrison, Kim Herzig, Brendan Murphy, Laurie A. Williams
Challenges with applying vulnerability prediction models. HotSoS (2015)
Christopher Theisen, Kim Herzig, Patrick Morrison, Brendan Murphy, Laurie A. Williams
Approximating Attack Surfaces with Stack Traces. ICSE (2) (2015)
Kim Herzig, Nachiappan Nagappan
Empirically Detecting False Test Alarms Using Association Rules. ICSE (2) (2015)
Kim Herzig
Using Pre-Release Test Failures to Build Early Post-Release Defect Prediction Models. ISSRE (2014)
Kim Herzig, Nachiappan Nagappan
The impact of test ownership and team structure on the reliability and effectiveness of quality test runs. ESEM (2014)
Kim Herzig, Andreas Zeller
The impact of tangled code changes. MSR (2013)
Kim Herzig, Sascha Just, Andreas Zeller
It's not a bug, it's a feature: how misclassification impacts bug prediction. ICSE (2013)
Kim Herzig, Sascha Just, Andreas Rau, Andreas Zeller
Predicting defects using change genealogies. ISSRE (2013)
Christian Holler, Kim Herzig, Andreas Zeller
Fuzzing with Code Fragments. USENIX Security Symposium (2012)
Kim Herzig, Andreas Zeller
Mining Cause-Effect-Chains from Version Histories. ISSRE (2011)
Rahul Premraj, Kim Herzig
Network Versus Code Metrics to Predict Defects: A Replication Study. ESEM (2011)
Thomas Zimmermann, Nachiappan Nagappan, Kim Herzig, Rahul Premraj, Laurie A. Williams
An Empirical Study on the Relation between Dependency Neighborhoods and Failures. ICST (2011)
Nachiappan Nagappan, Andreas Zeller, Thomas Zimmermann, Kim Herzig, Brendan Murphy
Change Bursts as Defect Predictors. ISSRE (2010)
Tilman Holschuh, Markus Pauser, Kim Herzig, Thomas Zimmermann, Rahul Premraj, Andreas Zeller
Predicting defects in SAP Java code: An experience report. ICSE Companion (2009)
Kim Herzig, Andreas Zeller
Mining the Jazz repository: Challenges and opportunities. MSR (2009)