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Kim Herzig

Kim Sebastian Herzig

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affiliation: Saarland University, Saarbrücken, Germany

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Books and Theses

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2013
[b1]
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Kim Sebastian Herzig:
Mining and untangling change genealogies. Saarland University, 2013

Journal Articles

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2019
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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): 53 (2019)
2016
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Kim Herzig, Sascha Just, Andreas Zeller:
The impact of tangled code changes on defect prediction models. Empir. Softw. Eng. 21(2): 303-336 (2016)

Conference and Workshop Papers

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2023
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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: 162-172
[c30]
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Sumit Asthana, Hitesh Sajnani, Elena Voyloshnikova, Birendra Acharya, Kim Herzig:
A Case Study of Developer Bots: Motivations, Perceptions, and Challenges. ESEC/SIGSOFT FSE 2023: 1268-1280
2022
[c29]
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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: 639
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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: 1246-1256
2021
[c27]
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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: 224
[c26]
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An Ju, Hitesh Sajnani, Scot Kelly, Kim Herzig:
A Case Study of Onboarding in Software Teams: Tasks and Strategies. ICSE 2021: 613-623
2019
[c25]
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Michele Tufano, Hitesh Sajnani, Kim Herzig:
Towards predicting the impact of software changes on building activities. ICSE (NIER) 2019: 49-52
2018
[c24]
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Kim Herzig:
Testing and continuous integration at scale: limits, costs, and expectations. SBST@ICSE 2018: 38
[c23]
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Carlene Lebeuf, Elena Voyloshnikova, Kim Herzig, Margaret-Anne D. Storey:
Understanding, Debugging, and Optimizing Distributed Software Builds: A Design Study. ICSME 2018: 496-507
2017
[c22]
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Christopher Theisen, Kim Herzig, Brendan Murphy, Laurie A. Williams:
Risk-Based Attack Surface Approximation: How Much Data Is Enough? ICSE-SEIP 2017: 273-282
2016
[c21]
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Sascha Just, Kim Herzig, Jacek Czerwonka, Brendan Murphy:
Switching to Git: The Good, the Bad, and the Ugly. ISSRE 2016: 400-411
2015
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Patrick Morrison, Kim Herzig, Brendan Murphy, Laurie A. Williams:
Challenges with applying vulnerability prediction models. HotSoS 2015: 4:1-4:9
[c19]
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Kim Herzig, Nachiappan Nagappan:
Empirically Detecting False Test Alarms Using Association Rules. ICSE (2) 2015: 39-48
[c18]
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Christopher Theisen, Kim Herzig, Patrick Morrison, Brendan Murphy, Laurie A. Williams:
Approximating Attack Surfaces with Stack Traces. ICSE (2) 2015: 199-208
[c17]
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Kim Herzig, Michaela Greiler, Jacek Czerwonka, Brendan Murphy:
The Art of Testing Less without Sacrificing Quality. ICSE (1) 2015: 483-493
[c16]
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Michaela Greiler, Kim Herzig, Jacek Czerwonka:
Code Ownership and Software Quality: A Replication Study. MSR 2015: 2-12
[c15]
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Kim Herzig, Sascha Just, Andreas Zeller:
It's Not a Bug, It's a Feature: How Misclassification Impacts Bug Prediction. Software Engineering & Management 2015: 103-104
[c14]
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Kim Herzig, Nachiappan Nagappan:
The Impact of Test Ownership and Team Structure on the Reliability, Effectiveness of Quality Test Runs. Software Engineering & Management 2015: 105-106
2014
[c13]
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Kim Herzig, Nachiappan Nagappan:
The impact of test ownership and team structure on the reliability and effectiveness of quality test runs. ESEM 2014: 2:1-2:10
[c12]
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Kim Herzig:
Using Pre-Release Test Failures to Build Early Post-Release Defect Prediction Models. ISSRE 2014: 300-311
2013
[c11]
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Kim Herzig, Sascha Just, Andreas Zeller:
It's not a bug, it's a feature: how misclassification impacts bug prediction. ICSE 2013: 392-401
[c10]
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Kim Herzig, Sascha Just, Andreas Rau, Andreas Zeller:
Predicting defects using change genealogies. ISSRE 2013: 118-127
[c9]
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Kim Herzig, Andreas Zeller:
The impact of tangled code changes. MSR 2013: 121-130
2012
[c8]
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Christian Holler, Kim Herzig, Andreas Zeller:
Fuzzing with Code Fragments. USENIX Security Symposium 2012: 445-458
2011
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Rahul Premraj, Kim Herzig:
Network Versus Code Metrics to Predict Defects: A Replication Study. ESEM 2011: 215-224
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Thomas Zimmermann, Nachiappan Nagappan, Kim Herzig, Rahul Premraj, Laurie A. Williams:
An Empirical Study on the Relation between Dependency Neighborhoods and Failures. ICST 2011: 347-356
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Kim Herzig, Andreas Zeller:
Mining Cause-Effect-Chains from Version Histories. ISSRE 2011: 60-69
2010
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Kim Sebastian Herzig:
Capturing the long-term impact of changes. ICSE (2) 2010: 393-396
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Nachiappan Nagappan, Andreas Zeller, Thomas Zimmermann, Kim Herzig, Brendan Murphy:
Change Bursts as Defect Predictors. ISSRE 2010: 309-318
2009
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Tilman Holschuh, Markus Pauser, Kim Herzig, Thomas Zimmermann, Rahul Premraj, Andreas Zeller:
Predicting defects in SAP Java code: An experience report. ICSE Companion 2009: 172-181
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Kim Herzig, Andreas Zeller:
Mining the Jazz repository: Challenges and opportunities. MSR 2009: 159-162

Parts in Books or Collections

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2016
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Kim Herzig:
There's never enough time to do all the testing you want. Perspectives on Data Science for Software Engineering 2016: 91-95
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Sascha Just, Kim Herzig:
Gotchas from mining bug reports. Perspectives on Data Science for Software Engineering 2016: 261-265
2014
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Kim Herzig, Andreas Zeller:
Mining Bug Data - A Practitioner's Guide. Recommendation Systems in Software Engineering 2014: 131-171
2011
[p1]
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Kim Sebastian Herzig, Andreas Zeller:
Mining Your Own Evidence. Making Software 2011: 517-530

Editorship

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2019
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Byoungju Choi, María José Escalona, Kim Herzig:
Proceedings of the 14th International Workshop on Automation of Software Test, AST@ICSE 2019, May 27, 2019, Montreal, QC, Canada. IEEE / ACM 2019, ISBN 978-1-7281-2237-3 [contents]

Informal and Other Publications

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2022
[i4]
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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 abs/2202.02385 (2022)
2021
[i3]
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An Ju, Hitesh Sajnani, Scot Kelly, Kim Herzig:
A Case Study of Onboarding in Software Teams: Tasks and Strategies. CoRR abs/2103.05055 (2021)
[i2]
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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 abs/2110.08403 (2021)
2019
[i1]
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Michele Tufano, Hitesh Sajnani, Kim Herzig:
Towards Predicting the Impact of Software Changes on Building Activities. CoRR abs/1901.07142 (2019)

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