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ORCIDMartin Pinzger 0001
Person information
- affiliation: University of Klagenfurt, Austria
- affiliation (former): Delft University of Technology, The Netherlands
- affiliation (former): University of Zurich, Switzerland
- affiliation (PhD 2005): Vienna University of Technology, Austria
Other persons with the same name
- Martin Pinzger 0002 — Johannes Kepler University Linz, Austria
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2020 – today
- 2024
[j23]Christian Macho
, Fabian Oraze, Martin Pinzger:
DValidator: An approach for validating dependencies in build configurations. J. Syst. Softw. 209: 111916 (2024)- [j22]Johann Glock, Josef Pichler, Martin Pinzger:
PASDA: A partition-based semantic differencing approach with best effort classification of undecided cases. J. Syst. Softw. 213: 112037 (2024) - [j21]Alexander Lercher, Johann Glock, Christian Macho, Martin Pinzger:
Microservice API Evolution in Practice: A Study on Strategies and Challenges. J. Syst. Softw. 215: 112110 (2024) - [c86]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. ICRA 2024: 8288-8297 - [c85]Stefan Schöberl, Christian Banse, Verena Geist, Immanuel Kunz, Martin Pinzger:
CertGraph: Towards a Comprehensive Knowledge Graph for Cloud Security Certifications. MoDELS (Companion) 2024: 76-77 - [c84]Gelei Deng, Yi Liu, Víctor Mayoral Vilches, Peng Liu, Yuekang Li, Yuan Xu, Martin Pinzger, Stefan Rass, Tianwei Zhang, Yang Liu:
PentestGPT: Evaluating and Harnessing Large Language Models for Automated Penetration Testing. USENIX Security Symposium 2024 - 2023
- [i12]Víctor Mayoral Vilches, Gelei Deng, Yi Liu, Martin Pinzger, Stefan Rass:
ExploitFlow, cyber security exploitation routes for Game Theory and AI research in robotics. CoRR abs/2308.02152 (2023) - [i11]Gelei Deng, Yi Liu, Victor Mayoral Vilches, Peng Liu, Yuekang Li, Yuan Xu, Tianwei Zhang, Yang Liu, Martin Pinzger, Stefan Rass:
PentestGPT: An LLM-empowered Automatic Penetration Testing Tool. CoRR abs/2308.06782 (2023) - [i10]Stefan Rass, Martin Pinzger:
Incentive-Based Software Security: Fair Micro-Payments for Writing Secure Code. CoRR abs/2309.05338 (2023) - [i9]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Alejandra Martínez-Fariña, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. CoRR abs/2309.09212 (2023) - [i8]Johann Glock, Josef Pichler, Martin Pinzger:
PASDA: A Partition-based Semantic Differencing Approach with Best Effort Classification of Undecided Cases. CoRR abs/2311.08071 (2023) - [i7]Alexander Lercher, Johann Glock, Christian Macho, Martin Pinzger:
Microservice API Evolution in Practice: A Study on Strategies and Challenges. CoRR abs/2311.08175 (2023) - 2022
- [j20]Victor Mayoral Vilches, Alfonso Glera-Picón, Unai Ayucar Carbajo, Stefan Rass, Martin Pinzger, Federico Maggi, Endika Gil-Uriarte:
Hacking planned obsolescense in robotics, towards security-oriented robot teardown. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 80 (2022) - [i6]Tareq Mohammed Nazir, Martin Pinzger:
Presentation: SymDefFix - Sound Automatic Repair Using Symbolic Execution. CoRR abs/2209.03815 (2022) - 2021
- [j19]Christian Macho, Stefanie Beyer, Shane McIntosh, Martin Pinzger:
The nature of build changes. Empir. Softw. Eng. 26(3): 32 (2021) - [j18]Benjamin Breiling, Bernhard Dieber, Martin Pinzger, Stefan Rass:
A Cryptography-Powered Infrastructure to Ensure the Integrity of Robot Workflows. J. Cybersecur. Priv. 1(1): 93-118 (2021) - [j17]Martin Pinzger, Emanuel Giger, Harald C. Gall:
Comparing fine-grained source code changes and code churn for bug prediction - A retrospective. ACM SIGSOFT Softw. Eng. Notes 46(3): 21-23 (2021) - [j16]Giovanni Liva, Muhammad Taimoor Khan, Martin Pinzger, Francesco Spegni, Luca Spalazzi:
Automatic Repair of Timestamp Comparisons. IEEE Trans. Software Eng. 47(11): 2369-2381 (2021) - [c83]Karin Hodnigg, Christian Macho, Martin Pinzger, Dietmar Jannach:
Comprehending Spreadsheets: Which Strategies do Users Apply? ICPC 2021: 386-390 - [c82]Stefanie Beyer, Christian Macho, Massimiliano Di Penta, Martin Pinzger:
What Kind of Questions Do Developers Ask on Stack Overflow? A Comparison of Automated Approaches to Classify Posts Into Question Categories. Software Engineering 2021: 27-28 - 2020
- [j15]Muhammad Taimoor Khan, Martin Pinzger, Dimitrios Serpanos, Howard E. Shrobe:
Runtime Protection of Real-time Critical Control Applications against Known Threats. IEEE Des. Test 37(6): 88-95 (2020) - [j14]Stefanie Beyer, Christian Macho, Massimiliano Di Penta, Martin Pinzger:
What kind of questions do developers ask on Stack Overflow? A comparison of automated approaches to classify posts into question categories. Empir. Softw. Eng. 25(3): 2258-2301 (2020) - [j13]Francesco Spegni, Luca Spalazzi, Giovanni Liva, Martin Pinzger, Andreas Bollin:
Verifying temporal specifications of Java programs. Softw. Qual. J. 28(2): 695-744 (2020) - [c81]Patrick Kubiak, Stefan Rass, Martin Pinzger, Stephan Schneider:
A Method for the Joint Analysis of Numerical and Textual IT-System Data to Predict Critical System States. ICSOFT (Selected Papers) 2020: 242-261 - [c80]Patrick Kubiak, Stefan Rass, Martin Pinzger:
IT-Application Behaviour Analysis: Predicting Critical System States on OpenStack using Monitoring Performance Data and Log Files. ICSOFT 2020: 589-596 - [c79]Hagen Tarner, Veit Frick, Martin Pinzger, Fabian Beck:
Visualizing Evolution and Performance Metrics on Method-Level as Multivariate Data. SATToSE 2020 - [c78]Veit Frick, Thomas Grassauer, Fabian Beck, Martin Pinzger:
Generating Accurate and Compact Edit Scripts using Tree Differencing. SE 2020: 85-86 - [c77]Verena Geist, Michael Moser, Josef Pichler, Stefanie Beyer, Martin Pinzger:
Leveraging Machine Learning for Software Redocumentation. SANER 2020: 622-626 - [i5]Víctor Mayoral Vilches, Martin Pinzger, Stefan Rass, Bernhard Dieber, Endika Gil-Uriarte:
Can ROS be used securely in industry? Red teaming ROS-Industrial. CoRR abs/2009.08211 (2020) - [i4]Víctor Mayoral Vilches, Irati Abad-Fernández, Martin Pinzger, Stefan Rass, Bernhard Dieber, Alcino Cunha, Francisco J. Rodríguez-Lera, Giovanni Lacava, Angelica Marotta, Fabio Martinelli, Endika Gil-Uriarte:
alurity, a toolbox for robot cybersecurity. CoRR abs/2010.07759 (2020)
2010 – 2019
- 2019
- [j12]Giovanni Liva, Muhammad Taimoor Khan, Martin Pinzger:
Semantics-driven extraction of timed automata from Java programs. Empir. Softw. Eng. 24(5): 3114-3150 (2019) - [j11]Hagen Tarner, Veit Frick, Martin Pinzger, Fabian Beck:
Exploring Visual Comparison of Multivariate Runtime Statistics. Softwaretechnik-Trends 39(3): 61-63 (2019) - [c76]Marc Pichler, Bernhard Dieber, Martin Pinzger:
Can I Depend on you? Mapping the Dependency and Quality Landscape of ROS Packages. IRC 2019: 78-85 - 2018
- [j10]Nicolas Dintzner, Arie van Deursen, Martin Pinzger:
FEVER: An approach to analyze feature-oriented changes and artefact co-evolution in highly configurable systems. Empir. Softw. Eng. 23(2): 905-952 (2018) - [c75]Giovanni Liva, Muhammad Taimoor Khan, Francesco Spegni, Luca Spalazzi, Andreas Bollin, Martin Pinzger:
Modeling time in Java programs for automatic error detection. FormaliSE@ICSE 2018: 50-59 - [c74]Veit Frick, Thomas Grassauer, Fabian Beck, Martin Pinzger:
Generating Accurate and Compact Edit Scripts Using Tree Differencing. ICSME 2018: 264-274 - [c73]Veit Frick, Christoph Wedenig, Martin Pinzger:
DiffViz: A Diff Algorithm Independent Visualization Tool for Edit Scripts. ICSME 2018: 705-709 - [c72]Luca Spalazzi, Francesco Spegni, Giovanni Liva, Martin Pinzger:
Towards Model Checking Security of Real Time Java Software. HPCS 2018: 642-649 - [c71]Stefanie Beyer, Christian Macho, Martin Pinzger, Massimiliano Di Penta:
Automatically classifying posts into question categories on stack overflow. ICPC 2018: 211-221 - [c70]Keheliya Gallaba, Christian Macho, Martin Pinzger, Shane McIntosh:
Noise and heterogeneity in historical build data: an empirical study of Travis CI. ASE 2018: 87-97 - [c69]László Vidács, Martin Pinzger:
Co-evolution analysis of production and test code by learning association rules of changes. MaLTeSQuE 2018: 31-36 - [c68]Christian Macho, Shane McIntosh, Martin Pinzger:
Automatically repairing dependency-related build breakage. SANER 2018: 106-117 - 2017
- [j9]Romain Robbes, Yasutaka Kamei, Martin Pinzger:
Guest Editorial: Mining software repositories. Empir. Softw. Eng. 22(3): 1143-1145 (2017) - [j8]Nicolas Dintzner, Arie van Deursen, Martin Pinzger:
Analysing the Linux kernel feature model changes using FMDiff. Softw. Syst. Model. 16(1): 55-76 (2017) - [c67]Christian Macho, Shane McIntosh, Martin Pinzger:
Extracting build changes with BuildDiff. MSR 2017: 368-378 - [c66]Giovanni Liva, Muhammad Taimoor Khan, Martin Pinzger:
Extracting Timed Automata from Java Methods. SCAM 2017: 91-100 - [e6]Martin Pinzger, Gabriele Bavota, Andrian Marcus:
IEEE 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017, Klagenfurt, Austria, February 20-24, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-5501-2 [contents] - [i3]Christian Macho, Shane McIntosh, Martin Pinzger:
Extracting Build Changes with BUILDDIFF. CoRR abs/1703.08527 (2017) - 2016
- [j7]Martin Pinzger, Sunghun Kim:
Guest editorial: mining software repositories. Empir. Softw. Eng. 21(5): 2033-2034 (2016) - [c65]Nicolas Dintzner, Arie van Deursen, Martin Pinzger:
FEVER: extracting feature-oriented changes from commits. MSR 2016: 85-96 - [c64]Stefanie Beyer, Martin Pinzger:
Grouping android tag synonyms on stack overflow. MSR 2016: 430-440 - [c63]Christian Macho, Shane McIntosh, Martin Pinzger:
Predicting Build Co-changes with Source Code Change and Commit Categories. SANER 2016: 541-551 - [e5]Heinrich C. Mayr, Martin Pinzger:
46. Jahrestagung der Gesellschaft für Informatik, Informatik von Menschen für Menschen, INFORMATIK 2016, Klagenfurt, Austria, September 26-30, 2016. LNI P-259, GI 2016, ISBN 978-3-88579-653-4 [contents] - 2015
- [j6]Felienne Hermans, Martin Pinzger, Arie van Deursen:
Detecting and refactoring code smells in spreadsheet formulas. Empir. Softw. Eng. 20(2): 549-575 (2015) - [c62]Nicolas Dintzner, Uirá Kulesza, Arie van Deursen, Martin Pinzger:
Evaluating Feature Change Impact on Multi-product Line Configurations Using Partial Information. ICSR 2015: 1-16 - [c61]Stefanie Beyer, Martin Pinzger:
Synonym suggestion for tags on stack overflow. ICPC 2015: 94-103 - [c60]Karin Hodnigg, Martin Pinzger:
XVIZIT: Visualizing cognitive units in spreadsheets. VISSOFT 2015: 210-214 - [e4]Massimiliano Di Penta, Martin Pinzger, Romain Robbes:
12th IEEE/ACM Working Conference on Mining Software Repositories, MSR 2015, Florence, Italy, May 16-17, 2015. IEEE Computer Society 2015, ISBN 978-0-7695-5594-2 [contents] - 2014
- [j5]Hsiao Hui Mui, Andy Zaidman, Martin Pinzger:
Studying Late Propagations in Code Clone Evolution Using Software Repository Mining. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 63 (2014) - [j4]Martin Pinzger, Denys Poshyvanyk:
Special issue: a selection of distinguished papers from the 18th Working Conference on Reverse Engineering 2011. J. Softw. Evol. Process. 26(1): 1-2 (2014) - [c59]Georgios Gousios, Martin Pinzger, Arie van Deursen:
An exploratory study of the pull-based software development model. ICSE 2014: 345-355 - [c58]Daniele Romano, Steven Raemaekers, Martin Pinzger:
Refactoring Fat Interfaces Using a Genetic Algorithm. ICSME 2014: 351-360 - [c57]Stefanie Beyer, Martin Pinzger:
A Manual Categorization of Android App Development Issues on Stack Overflow. ICSME 2014: 531-535 - [c56]Daniele Romano, Martin Pinzger:
A Genetic Algorithm to Find the Adequate Granularity for Service Interfaces. SERVICES 2014: 478-485 - [c55]Nicolas Dintzner, Arie van Deursen, Martin Pinzger:
Extracting feature model changes from the Linux kernel using FMDiff. VaMoS 2014: 22:1-22:8 - [e3]Premkumar T. Devanbu, Sung Kim, Martin Pinzger:
11th Working Conference on Mining Software Repositories, MSR 2014, Proceedings, May 31 - June 1, 2014, Hyderabad, India. ACM 2014, ISBN 978-1-4503-2863-0 [contents] - 2013
- [j3]Martin Pinzger, Giuliano Antoniol:
Guest editorial: reverse engineering. Empir. Softw. Eng. 18(5): 857-858 (2013) - [c54]Felienne Hermans, Ben Sedee, Martin Pinzger, Arie van Deursen:
Data clone detection and visualization in spreadsheets. ICSE 2013: 292-301 - [c53]Daniele Romano, Martin Pinzger:
Towards a Weighted Voting System for Q&A Sites. ICSM 2013: 368-371 - [c52]Anja Guzzi, Alberto Bacchelli, Michele Lanza, Martin Pinzger, Arie van Deursen:
Communication in open source software development mailing lists. MSR 2013: 277-286 - 2012
- [c51]Emanuel Giger, Marco D'Ambros, Martin Pinzger, Harald C. Gall:
Method-level bug prediction. ESEM 2012: 171-180 - [c50]Felienne Hermans, Martin Pinzger, Arie van Deursen:
Detecting and visualizing inter-worksheet smells in spreadsheets. ICSE 2012: 441-451 - [c49]Felienne Hermans, Martin Pinzger, Arie van Deursen:
Detecting code smells in spreadsheet formulas. ICSM 2012: 409-418 - [c48]Daniele Romano, Martin Pinzger:
Analyzing the Evolution of Web Services Using Fine-Grained Changes. ICWS 2012: 392-399 - [c47]Emanuel Giger, Martin Pinzger, Harald C. Gall:
Can we predict types of code changes? An empirical analysis. MSR 2012: 217-226 - [c46]Daniele Romano, Paulius Raila, Martin Pinzger, Foutse Khomh:
Analyzing the Impact of Antipatterns on Change-Proneness Using Fine-Grained Source Code Changes. WCRE 2012: 437-446 - [i2]Felienne Hermans, Martin Pinzger, Arie van Deursen:
Measuring Spreadsheet Formula Understandability. CoRR abs/1209.3517 (2012) - 2011
- [c45]Daniele Romano, Martin Pinzger:
Using vector clocks to monitor dependencies among services at runtime. QASBA 2011: 1-4 - [c44]Felienne Hermans, Martin Pinzger, Arie van Deursen:
Supporting professional spreadsheet users by generating leveled dataflow diagrams. ICSE 2011: 451-460 - [c43]Daniele Romano, Martin Pinzger:
Using source code metrics to predict change-prone Java interfaces. ICSM 2011: 303-312 - [c42]Anja Guzzi, Lile Hattori, Michele Lanza, Martin Pinzger, Arie van Deursen:
Collective Code Bookmarks for Program Comprehension. ICPC 2011: 101-110 - [c41]Emanuel Giger, Martin Pinzger, Harald C. Gall:
Using the gini coefficient for bug prediction in eclipse. EVOL/IWPSE 2011: 51-55 - [c40]Emanuel Giger, Martin Pinzger, Harald C. Gall:
Comparing fine-grained source code changes and code churn for bug prediction. MSR 2011: 83-92 - [c39]Daniele Romano, Martin Pinzger, Eric Bouwers:
Extracting dynamic dependencies between web services using vector clocks. SOCA 2011: 1-8 - [e2]Martin Pinzger, Denys Poshyvanyk, Jim Buckley:
18th Working Conference on Reverse Engineering, WCRE 2011, Limerick, Ireland, October 17-20, 2011. IEEE Computer Society 2011, ISBN 978-1-4577-1948-6 [contents] - [i1]Felienne Hermans, Martin Pinzger, Arie van Deursen:
Breviz: Visualizing Spreadsheets using Dataflow Diagrams. CoRR abs/1111.6895 (2011) - 2010
- [c38]Felienne Hermans, Martin Pinzger, Arie van Deursen:
Automatically Extracting Class Diagrams from Spreadsheets. ECOOP 2010: 52-75 - [c37]Emanuel Giger, Martin Pinzger, Harald C. Gall:
Predicting the fix time of bugs. RSSE@ICSE 2010: 52-56 - [c36]Arie van Deursen, Ali Mesbah, Bas Cornelissen, Andy Zaidman, Martin Pinzger, Anja Guzzi:
Adinda: a knowledgeable, browser-based IDE. ICSE (2) 2010: 203-206 - [c35]Anja Guzzi, Martin Pinzger, Arie van Deursen:
Combining micro-blogging and IDE interactions to support developers in their quests. ICSM 2010: 1-5 - [c34]Patrick Knab, Martin Pinzger, Harald C. Gall:
Visual Patterns in Issue Tracking Data. ICSP 2010: 222-233 - [p2]Martin Pinzger, Harald C. Gall:
Dynamic Analysis of Communication and Collaboration in OSS Projects. Collaborative Software Engineering 2010: 265-284 - [e1]Giuliano Antoniol, Martin Pinzger, Elliot J. Chikofsky:
17th Working Conference on Reverse Engineering, WCRE 2010, 13-16 October 2010, Beverly, MA, USA. IEEE Computer Society 2010, ISBN 978-0-7695-4123-5 [contents] - [r1]Andy Zaidman, Martin Pinzger, Arie van Deursen:
Software Evolution. Encyclopedia of Software Engineering 2010: 1127-1137
2000 – 2009
- 2009
- [j2]Harald C. Gall, Beat Fluri, Martin Pinzger:
Change Analysis with Evolizer and ChangeDistiller. IEEE Softw. 26(1): 26-33 (2009) - [c33]Patrick Knab, Beat Fluri, Harald C. Gall, Martin Pinzger:
Interactive views for analyzing problem reports. ICSM 2009: 527-530 - [c32]Felienne Hermans, Martin Pinzger, Arie van Deursen:
Domain-Specific Languages in Practice: A User Study on the Success Factors. MoDELS 2009: 423-437 - [c31]Zeeger Lubsen, Andy Zaidman, Martin Pinzger:
Using association rules to study the co-evolution of production & test code. MSR 2009: 151-154 - [c30]Patrick Knab, Harald C. Gall, Martin Pinzger:
Smart views for analyzing problem reports: tool demo. ESEC/SIGSOFT FSE 2009: 289-290 - 2008
- [c29]Martin Pinzger, Katja Grafenhain, Patrick Knab, Harald C. Gall:
A Tool for Visual Understanding of Source Code Dependencies. ICPC 2008: 254-259 - [c28]Martin Pinzger, Nachiappan Nagappan, Brendan Murphy:
Can developer-module networks predict failures? SIGSOFT FSE 2008: 2-12 - [p1]Marco D'Ambros, Harald C. Gall, Michele Lanza, Martin Pinzger:
Analysing Software Repositories to Understand Software Evolution. Software Evolution 2008: 37-67 - 2007
- [j1]Beat Fluri, Michael Würsch, Martin Pinzger, Harald C. Gall:
Change Distilling: Tree Differencing for Fine-Grained Source Code Change Extraction. IEEE Trans. Software Eng. 33(11): 725-743 (2007) - [c27]Marco D'Ambros, Michele Lanza, Martin Pinzger:
The Metabase: Generating Object Persistency Using Meta Descriptions. FAMOOSr@TOOLS 2007: 17-20 - [c26]Jacek Ratzinger, Martin Pinzger, Harald C. Gall:
EQ-Mine: Predicting Short-Term Defects for Software Evolution. FASE 2007: 12-26 - [c25]Abraham Bernstein, Jayalath Ekanayake, Martin Pinzger:
Improving defect prediction using temporal features and non linear models. IWPSE 2007: 11-18 - [c24]Marco D'Ambros, Michele Lanza, Martin Pinzger:
"A Bug's Life" Visualizing a Bug Database. VISSOFT 2007: 113-120 - [c23]Jacek Ratzinger, Harald C. Gall, Martin Pinzger:
Quality Assessment Based on Attribute Series of Software Evolution. WCRE 2007: 80-89 - 2006
- [c22]Reto Geiger, Beat Fluri, Harald C. Gall, Martin Pinzger:
Relation of Code Clones and Change Couplings. FASE 2006: 411-425 - [c21]Stephan Diehl, Harald C. Gall, Martin Pinzger, Ahmed E. Hassan:
MSR 2006: the 3rd international workshop on mining software repositories. ICSE 2006: 1021 - [c20]Stephan Diehl, Harald C. Gall, Martin Pinzger, Ahmed E. Hassan:
Introduction to MSR 2006. MSR 2006: 1-2 - [c19]Sunghun Kim, Thomas Zimmermann, Miryung Kim, Ahmed E. Hassan, Audris Mockus, Tudor Gîrba, Martin Pinzger, E. James Whitehead Jr., Andreas Zeller:
TA-RE: an exchange language for mining software repositories. MSR 2006: 22-25 - [c18]Tobias Sager, Abraham Bernstein, Martin Pinzger, Christoph Kiefer:
Detecting similar Java classes using tree algorithms. MSR 2006: 65-71 - [c17]Patrick Knab, Martin Pinzger, Abraham Bernstein:
Predicting defect densities in source code files with decision tree learners. MSR 2006: 119-125 - 2005
- [c16]Michele Lanza, Stéphane Ducasse, Harald C. Gall, Martin Pinzger:
CodeCrawler: an information visualization tool for program comprehension. ICSE 2005: 672-673 - [c15]Beat Fluri, Harald C. Gall, Martin Pinzger:
Fine-Grained Analysis of Change Couplings. SCAM 2005: 66-74 - [c14]Martin Pinzger, Harald C. Gall, Michael Fischer, Michele Lanza:
Visualizing multiple evolution metrics. SOFTVIS 2005: 67-75 - [c13]Jens Knodel, Isabel John, Dharmalingam Ganesan, Martin Pinzger, Fernando Usero, José L. Arciniegas, Claudio Riva:
Asset Recovery and Their Incorporation into Product Lines. WCRE 2005: 120-129 - 2004
- [c12]Martin Pinzger, Michael Fischer, Mehdi Jazayeri, Harald C. Gall:
Abstracting Module Views from Source Code. ICSM 2004: 533 - [c11]Thomas Gschwind, Martin Pinzger, Harald C. Gall:
TUAnalyzer -- Analyzing Templates in C++ Code. WCRE 2004: 48-57 - [c10]Giuliano Antoniol, Massimiliano Di Penta, Harald C. Gall, Martin Pinzger:
Towards the Integration of Versioning Systems, Bug Reports and Source Code Meta-Models. SETra@ICGT 2004: 87-99 - [c9]Martin Pinzger, Harald C. Gall, Michael Fischer:
Towards an Integrated View on Architecture and its Evolution. SETra@ICGT 2004: 183-196 - 2003
- [c8]Michael Fischer, Martin Pinzger, Harald C. Gall:
Populating a Release History Database from Version Control and Bug Tracking Systems. ICSM 2003: 23- - [c7]Martin Pinzger, Johann Oberleitner, Harald C. Gall:
Analyzing and Understanding Architectural Characteristics of COM+ Components. IWPC 2003: 54-63 - [c6]Thomas Gschwind, Johann Oberleitner, Martin Pinzger:
Using Run-Time Data for Program Comprehension. IWPC 2003: 245-250 - [c5]Martin Pinzger, Harald C. Gall, Jean-Francois Girard, Jens Knodel, Claudio Riva, Wim Pasman, Chris Broerse, Jan Gerben Wijnstra:
Architecture Recovery for Product Families. PFE 2003: 332-351 - [c4]Michael Fischer, Martin Pinzger, Harald C. Gall:
Analyzing and Relating Bug Report Data for Feature Tracking. WCRE 2003: 90-101 - [c3]Jens Knodel, Martin Pinzger:
Improving Fact Extraction of Framework-Based Software Systems. WCRE 2003: 186-195 - 2002
- [c2]Martin Pinzger, Harald C. Gall:
Pattern-Supported Architecture Recovery. IWPC 2002: 53-61 - [c1]Martin Pinzger, Michael Fischer, Harald C. Gall, Mehdi Jazayeri:
Revealer: A Lexical Pattern Matcher for Architecture Recovery. WCRE 2002: 170-
Coauthor Index
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