Predicting defects in SAP Java code: An experience report. - Tilman Holschuh; Markus Pauser; Kim Herzig; Thomas Zimmermann 001; Rahul Premraj; Andreas Zeller (ICSE Companion, 2009)

Mining the Jazz repository: Challenges and opportunities. - Kim Herzig; Andreas Zeller (MSR, 2009)

Capturing the long-term impact of changes. - Kim Sebastian Herzig (ICSE (2), 2010)

Change Bursts as Defect Predictors. - Nachiappan Nagappan; Andreas Zeller; Thomas Zimmermann 001; Kim Herzig; Brendan Murphy (ISSRE, 2010)

Mining Your Own Evidence. - Kim Sebastian Herzig; Andreas Zeller (Making Software, 2011)

Network Versus Code Metrics to Predict Defects: A Replication Study. - Rahul Premraj; Kim Herzig (ESEM, 2011)

An Empirical Study on the Relation between Dependency Neighborhoods and Failures. - Thomas Zimmermann 001; Nachiappan Nagappan; Kim Herzig; Rahul Premraj; Laurie A. Williams (ICST, 2011)

Mining Cause-Effect-Chains from Version Histories. - Kim Herzig; Andreas Zeller (ISSRE, 2011)

Fuzzing with Code Fragments. - Christian Holler; Kim Herzig; Andreas Zeller (USENIX Security Symposium, 2012)

Predicting defects using change genealogies. - Kim Herzig; Sascha Just; Andreas Rau 001; Andreas Zeller (ISSRE, 2013)

The impact of tangled code changes. - Kim Herzig; Andreas Zeller (MSR, 2013)

Mining and untangling change genealogies. - Kim Sebastian Herzig (2013)

Mining Bug Data - A Practitioner's Guide. - Kim Herzig; Andreas Zeller (Recommendation Systems in Software Engineering, 2014)

The impact of test ownership and team structure on the reliability and effectiveness of quality test runs. - Kim Herzig; Nachiappan Nagappan (ESEM, 2014)

Using Pre-Release Test Failures to Build Early Post-Release Defect Prediction Models. - Kim Herzig (ISSRE, 2014)

Challenges with applying vulnerability prediction models. - Patrick Morrison; Kim Herzig; Brendan Murphy; Laurie A. Williams (HotSoS, 2015)

The Art of Testing Less without Sacrificing Quality. - Kim Herzig; Michaela Greiler; Jacek Czerwonka; Brendan Murphy (ICSE (1), 2015)

Empirically Detecting False Test Alarms Using Association Rules. - Kim Herzig; Nachiappan Nagappan (ICSE (2), 2015)

Approximating Attack Surfaces with Stack Traces. - Christopher Theisen; Kim Herzig; Patrick Morrison; Brendan Murphy; Laurie A. Williams (ICSE (2), 2015)

Code Ownership and Software Quality: A Replication Study. - Michaela Greiler; Kim Herzig; Jacek Czerwonka (MSR, 2015)

It's Not a Bug, It's a Feature: How Misclassification Impacts Bug Prediction. - Kim Herzig; Sascha Just; Andreas Zeller (Software Engineering & Management, 2015)

The Impact of Test Ownership and Team Structure on the Reliability, Effectiveness of Quality Test Runs. - Kim Herzig; Nachiappan Nagappan (Software Engineering & Management, 2015)

There's never enough time to do all the testing you want. - Kim Herzig (Perspectives on Data Science for Software Engineering, 2016)

Gotchas from mining bug reports. - Sascha Just; Kim Herzig (Perspectives on Data Science for Software Engineering, 2016)

Switching to Git: The Good, the Bad, and the Ugly. - Sascha Just; Kim Herzig; Jacek Czerwonka; Brendan Murphy (ISSRE, 2016)

The impact of tangled code changes on defect prediction models. - Kim Herzig; Sascha Just; Andreas Zeller (Empir. Softw. Eng., 2016)

Risk-Based Attack Surface Approximation: How Much Data Is Enough? - Christopher Theisen; Kim Herzig; Brendan Murphy; Laurie A. Williams (ICSE-SEIP, 2017)

Testing and continuous integration at scale: limits, costs, and expectations. - Kim Herzig (SBST@ICSE, 2018)

Understanding, Debugging, and Optimizing Distributed Software Builds: A Design Study. - Carlene Lebeuf; Elena Voyloshnikova; Kim Herzig; Margaret-Anne D. Storey (ICSME, 2018)

Towards predicting the impact of software changes on building activities. - Michele Tufano; Hitesh Sajnani; Kim Herzig (ICSE (NIER), 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)

A Case Study of Onboarding in Software Teams: Tasks and Strategies. - An Ju; Hitesh Sajnani; Scot Kelly; Kim Herzig (ICSE, 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 (ICSE (Companion Volume), 2021)

Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale. - Chandra Shekhar Maddila; Apoorva Agrawal; Thomas Zimmermann 001; Nicole Forsgren; Kim Herzig; Arie van Deursen (CoRR, 2021)

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 (MSR, 2022)

Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale. - Chandra Shekhar Maddila; Suhas Shanbhogue; Apoorva Agrawal; Thomas Zimmermann 001; Chetan Bansal; Nicole Forsgren; Divyanshu Agrawal; Kim Herzig; Arie van Deursen (ESEC/SIGSOFT FSE, 2022)

Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations. - Jiyang Zhang 003; Chandra Shekhar Maddila; Ram Bairi; Christian Bird; Ujjwal Raizada; Apoorva Agrawal; Yamini Jhawar; Kim Herzig; Arie van Deursen (CoRR, 2022)

Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft. - Jiyang Zhang 003; Chandra Shekhar Maddila; Ram Bairi; Christian Bird; Ujjwal Raizada; Apoorva Agrawal; Yamini Jhawar; Kim Herzig; Arie van Deursen (ICSE-SEIP, 2023)

A Case Study of Developer Bots: Motivations, Perceptions, and Challenges. - Sumit Asthana; Hitesh Sajnani; Elena Voyloshnikova; Birendra Acharya; Kim Herzig (ESEC/SIGSOFT FSE, 2023)