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ORCIDPatrick Mäder
Patrick Maeder
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- affiliation (PhD 2009): TU Ilmenau, Institute for Computer and Systems Engineering, Germany
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2020 – today
- 2025
[j35]Johannes Viehweg, Dominik Walther, Patrick Mäder:
Temporal convolution derived multi-layered reservoir computing. Neurocomputing 617: 128938 (2025)- 2024
- [j34]Julian Brückner, Maximilian Rohe, Dominik Walther, Jörg Hildebrand, Jean Pierre Bergmann, Patrick Mäder:
Detektion von Prozessunregelmäßigkeiten beim MSG-Schweißen durch Analyse des Luftschallsignals mittels Convolutional Neural Network (CNN). Autom. 72(10): 991-1001 (2024) - [j33]Mihaela Todorova Tomova, Martin Hofmann, Constantin Hütterer, Patrick Mäder:
Assessing the utility of text-to-SQL approaches for satisfying software developer information needs. Empir. Softw. Eng. 29(1): 15 (2024) - [c76]Amin Abouee, Ashwanth Ravi, Lars Hinneburg, Mateusz Dziwulski, Florian Ölsner, Jürgen Hess, Stefan Milz, Patrick Mäder:
Weakly Supervised End2End Deep Visual Odometry. CVPR Workshops 2024: 858-865 - [c75]Marius Schlegel
, Daniel Scheliga, Kai-Uwe Sattler, Marco Seeland, Patrick Mäder:
Collaboration Management for Federated Learning. ICDEW 2024: 291-300 - [c74]Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder:
MagneticPillars: Efficient Point Cloud Registration through Hierarchized Birds-Eye-View Cell Correspondence Refinement. WACV 2024: 7371-7380 - [i24]Johannes Viehweg, Dominik Walther, Patrick Mäder:
Temporal Convolution Derived Multi-Layered Reservoir Computing. CoRR abs/2407.06771 (2024) - 2023
- [j32]Dominik Walther, Johannes Viehweg, Jens Haueisen, Patrick Mäder:
A systematic comparison of deep learning methods for EEG time series analysis. Frontiers Neuroinformatics 17 (2023) - [j31]Johannes Viehweg, Karl Worthmann, Patrick Mäder:
Parameterizing echo state networks for multi-step time series prediction. Neurocomputing 522: 214-228 (2023) - [j30]Mario Janke, Patrick Mäder:
${\text{FS}^{3}}_{\text{change}}$FS3change: A Scalable Method for Change Pattern Mining. IEEE Trans. Software Eng. 49(6): 3616-3629 (2023) - [c73]Daniel Scheliga, Patrick Maeder, Marco Seeland:
Dropout Is NOT All You Need to Prevent Gradient Leakage. AAAI 2023: 9733-9741 - [c72]Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Thomas S. Heinze, Lynn von Kurnatowski, Andreas Schreiber, Patrick Mäder:
A Static Analysis Platform for Investigating Security Trends in Repositories. SVM 2023: 1-5 - [i23]Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Lynn von Kurnatowski, Andreas Schreiber, Thomas S. Heinze, Patrick Mäder:
A Static Analysis Platform for Investigating Security Trends in Repositories. CoRR abs/2304.01725 (2023) - [i22]Sambit Mohapatra, Senthil Kumar Yogamani, Varun Ravi Kumar, Stefan Milz, Heinrich Gotzig, Patrick Mäder:
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving. CoRR abs/2307.08850 (2023) - [i21]Daniel Scheliga, Patrick Mäder, Marco Seeland:
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks. CoRR abs/2309.04515 (2023) - 2022
- [j29]Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder:
Deep security analysis of program code. Empir. Softw. Eng. 27(1): 2 (2022) - [j28]Hui Gao, Hongyu Kuang, Xiaoxing Ma, Hao Hu, Jian Lü, Patrick Mäder, Alexander Egyed:
Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery. Empir. Softw. Eng. 27(2): 41 (2022) - [j27]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder:
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. IEEE Trans. Intell. Transp. Syst. 23(8): 10252-10261 (2022) - [j26]Philipp Teutsch, Patrick Mäder:
Flipped Classroom: Effective Teaching for Time Series Forecasting. Trans. Mach. Learn. Res. 2022 (2022) - [j25]Martin Hofmann, Patrick Mäder:
Synaptic Scaling - An Artificial Neural Network Regularization Inspired by Nature. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3094-3108 (2022) - [j24]Mario Janke, Patrick Mäder:
Graph Based Mining of Code Change Patterns From Version Control Commits. IEEE Trans. Software Eng. 48(3): 848-863 (2022) - [c71]Sambit Mohapatra, Thomas Mesquida, Mona Hodaei, Senthil Kumar Yogamani, Heinrich Gotzig, Patrick Maeder:
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. EBCCSP 2022: 1-5 - [c70]Hui Gao, Hongyu Kuang, Kexin Sun, Xiaoxing Ma, Alexander Egyed, Patrick Mäder, Guoping Rong, Dong Shao, He Zhang:
Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. ASE 2022: 114:1 - [c69]Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder:
Generalizability of Code Clone Detection on CodeBERT. ASE 2022: 143:1-143:3 - [c68]Sambit Mohapatra, Mona Hodaei, Senthil Kumar Yogamani, Stefan Milz, Heinrich Gotzig, Martin Simon, Hazem Rashed, Patrick Maeder:
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation. VISIGRAPP (5: VISAPP) 2022: 828-835 - [c67]Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder:
StickyLocalization: Robust End-To-End Relocalization on Point Clouds using Graph Neural Networks. WACV 2022: 307-316 - [c66]Daniel Scheliga, Patrick Mäder, Marco Seeland:
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. WACV 2022: 3605-3614 - [i20]Mohamed Shawki Elamir, Heinrich Gotzig, Raoul Zoellner, Patrick Maeder:
A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors. CoRR abs/2202.12684 (2022) - [i19]Sandeep Pandey, Philipp Teutsch, Patrick Mäder, Jörg Schumacher:
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection. CoRR abs/2202.13129 (2022) - [i18]Sambit Mohapatra, Thomas Mesquida, Mona Hodaei, Senthil Kumar Yogamani, Heinrich Gotzig, Patrick Mäder:
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. CoRR abs/2206.02876 (2022) - [i17]Johan Linåker, Patrick Rempel, Björn Regnell, Patrick Mäder:
How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns. CoRR abs/2208.02628 (2022) - [i16]Daniel Scheliga, Patrick Mäder, Marco Seeland:
Combining Variational Modeling with Partial Gradient Perturbation to Prevent Deep Gradient Leakage. CoRR abs/2208.04767 (2022) - [i15]Daniel Scheliga, Patrick Mäder, Marco Seeland:
Dropout is NOT All You Need to Prevent Gradient Leakage. CoRR abs/2208.06163 (2022) - [i14]Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder:
Generalizability of Code Clone Detection on CodeBERT. CoRR abs/2208.12588 (2022) - [i13]Hui Gao, Hongyu Kuang, Kexin Sun, Xiaoxing Ma, Alexander Egyed, Patrick Mäder, Guoping Rong, Dong Shao, He Zhang:
Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. CoRR abs/2209.01734 (2022) - [i12]Philipp Teutsch, Patrick Mäder:
Flipped Classroom: Effective Teaching for Time Series Forecasting. CoRR abs/2210.08959 (2022) - 2021
- [j23]Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang, Stefan Milz, Patrick Mäder:
OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving. IEEE Robotics Autom. Lett. 6(2): 2830-2837 (2021) - [j22]Patrick Mäder, Tobias Kuschke, Mario Janke:
Reactive Auto-Completion of Modeling Activities. IEEE Trans. Software Eng. 47(7): 1431-1451 (2021) - [c65]Martin Rabe, Stefan Milz, Patrick Mäder:
Development Methodologies for Safety Critical Machine Learning Applications in the Automotive Domain: A Survey. CVPR Workshops 2021: 129-141 - [c64]Kai Fischer, Martin Simon, Florian Ölsner, Stefan Milz, Horst-Michael Gross, Patrick Mäder:
StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks. CVPR 2021: 313-323 - [c63]Varun Ravi Kumar, Senthil Kumar Yogamani, Stefan Milz, Patrick Mäder:
FisheyeDistanceNet++: Self-Supervised Fisheye Distance Estimation with Self-Attention, Robust Loss Function and Camera View Generalization. Autonomous Vehicles and Machines 2021: 1-11 - [c62]Sambit Mohapatra, Senthil Kumar Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mäder:
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving. ITSC 2021: 2809-2815 - [c61]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Mäder:
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. WACV 2021: 61-71 - [i11]Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang, Stefan Milz, Patrick Mäder:
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving. CoRR abs/2102.07448 (2021) - [i10]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder:
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. CoRR abs/2104.04420 (2021) - [i9]Sambit Mohapatra, Senthil Kumar Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mäder:
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving. CoRR abs/2104.10780 (2021) - [i8]Daniel Scheliga, Patrick Mäder, Marco Seeland:
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. CoRR abs/2108.04725 (2021) - [i7]Sambit Mohapatra, Mona Hodaei, Senthil Kumar Yogamani, Stefan Milz, Patrick Maeder, Heinrich Gotzig, Martin Simon, Hazem Rashed:
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation. CoRR abs/2111.04875 (2021) - 2020
- [j21]David Boho, Michael Rzanny, Jana Wäldchen, Fabian Nitsche, Alice Deggelmann, Hans Christian Wittich, Marco Seeland, Patrick Mäder:
Flora Capture: a citizen science application for collecting structured plant observations. BMC Bioinform. 21(1): 576 (2020) - [j20]Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder:
Erste Überlegungen zur Erklärbarkeit von Deep-Learning-Modellen für die Analyse von Quellcode. Softwaretechnik-Trends 40(2): 39-40 (2020) - [c60]Varun Ravi Kumar, Sandesh Athni Hiremath, Markus Bach, Stefan Milz, Christian Witt, Clément Pinard, Senthil Kumar Yogamani, Patrick Mäder:
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. ICRA 2020: 574-581 - [c59]Varun Ravi Kumar, Senthil Kumar Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mäder:
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models. IROS 2020: 8177-8183 - [c58]Michael Rath, Patrick Mäder:
Request for comments: conversation patterns in issue tracking systems of open-source projects. SAC 2020: 1414-1417 - [c57]Michael Rath, Mihaela Todorova Tomova, Patrick Mäder:
SpojitR: Intelligently Link Development Artifacts. SANER 2020: 652-656 - [i6]Varun Ravi Kumar, Senthil Kumar Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mäder:
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models. CoRR abs/2007.06676 (2020) - [i5]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder:
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. CoRR abs/2008.04017 (2020)
2010 – 2019
- 2019
- [j19]Marco Seeland, Michael Rzanny, David Boho, Jana Wäldchen, Patrick Mäder:
Image-based classification of plant genus and family for trained and untrained plant species. BMC Bioinform. 20(1): 4:1-4:13 (2019) - [j18]Martin Hofmann, Marco Seeland, Patrick Mäder:
Efficiently Annotating Object Images with Absolute Size Information Using Mobile Devices. Int. J. Comput. Vis. 127(2): 207-224 (2019) - [j17]Michael Rath, Patrick Mäder:
Structured information in bug report descriptions - influence on IR-based bug localization and developers. Softw. Qual. J. 27(3): 1315-1337 (2019) - [c56]Hongyu Kuang, Hui Gao, Hao Hu, Xiaoxing Ma, Jian Lu, Patrick Mäder, Alexander Egyed:
Using frugal user feedback with closeness analysis on code to improve IR-based traceability recovery. ICPC 2019: 369-379 - [c55]Michael Rath, Mihaela Todorova Tomova, Patrick Mäder:
Selecting Open Source Projects for Traceability Case Studies. REFSQ 2019: 229-242 - [c54]Paola Spoletini, Patrick Mäder:
Preface. REFSQ Workshops 2019 - [c53]Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Mäder:
Traceability in the Wild: Automatically Augmenting Incomplete Trace Links. SE/SWM 2019: 63 - [c52]Mohamed-Elamir Mohamed, Heinrich Gotzig, Raoul Zoellner, Patrick Maeder:
A Machine Learning Approach for Detecting Ultrasonic Echoes in Noisy Environments. VTC Spring 2019: 1-6 - [e4]Paola Spoletini, Patrick Mäder, Daniel M. Berry, Fabiano Dalpiaz, Maya Daneva, Alessio Ferrari, Xavier Franch, Sarah Gregory, Eduard C. Groen, Andrea Herrmann, Anne Hess, Frank Houdek, Oliver Karras, Anne Koziolek, Kim Lauenroth, Cristina Palomares, Mehrdad Sabetzadeh, Norbert Seyff, Marcus Trapp, Andreas Vogelsang, Thorsten Weyer:
Joint Proceedings of REFSQ-2019 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 25th International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2019), Essen, Germany, March 18th, 2019. CEUR Workshop Proceedings 2376, CEUR-WS.org 2019 [contents] - [i4]Varun Ravi Kumar, Sandesh Athni Hiremath, Stefan Milz, Christian Witt, Clément Pinard, Senthil Kumar Yogamani, Patrick Mäder:
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. CoRR abs/1910.04076 (2019) - 2018
- [j16]Hans Christian Wittich, Marco Seeland, Jana Wäldchen, Michael Rzanny, Patrick Mäder:
Recommending plant taxa for supporting on-site species identification. BMC Bioinform. 19(1): 190:1-190:17 (2018) - [j15]Jana Wäldchen, Michael Rzanny, Marco Seeland, Patrick Mäder:
Automated plant species identification - Trends and future directions. PLoS Comput. Biol. 14(4) (2018) - [j14]Michael Rath, Maksim Goman, Patrick Mäder:
State of the Art of Traceability in Open-Source Projects. Softwaretechnik-Trends 38(1): 8-11 (2018) - [j13]Mihaela Todorova Tomova, Michael Rath, Patrick Mäder:
Preprocessing Texts in Issue Tracking Systems to improve IR Techniques for Trace Creation. Softwaretechnik-Trends 38(1): 17-20 (2018) - [j12]Maksim Goman, Michael Rath, Patrick Mäder:
Lessons Learned from Analyzing Requirements Traceability using a Graph Database. Softwaretechnik-Trends 38(1): 27-30 (2018) - [c51]Michael Rath, Patrick Mäder:
Influence of Structured Information in Bug Report Descriptions on IR-Based Bug Localization. SEAA 2018: 26-32 - [c50]Rohan Krishnamurthy, Michael Meinel, Carina Haupt, Andreas Schreiber, Patrick Mäder:
DLR secure software engineering: position and vision paper. SEAD@ICSE 2018: 49-50 - [c49]Mihaela Todorova Tomova, Michael Rath, Patrick Mäder:
Use of trace link types in issue tracking systems. ICSE (Companion Volume) 2018: 181-182 - [c48]Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Mäder:
Traceability in the wild: automatically augmenting incomplete trace links. ICSE 2018: 834-845 - [c47]Michael Rath, David Lo, Patrick Mäder:
Analyzing requirements and traceability information to improve bug localization. MSR 2018: 442-453 - [i3]Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Maeder:
Traceability in the Wild: Automatically Augmenting Incomplete Trace Links. CoRR abs/1804.02433 (2018) - 2017
- [j11]Patrick Mäder, Rocco Oliveto, Andrian Marcus:
Empirical studies in software and systems traceability. Empir. Softw. Eng. 22(3): 963-966 (2017) - [j10]Patrick Rempel, Patrick Mäder:
Preventing Defects: The Impact of Requirements Traceability Completeness on Software Quality. IEEE Trans. Software Eng. 43(8): 777-797 (2017) - [c46]Tobias Kuschke, Patrick Mäder:
RapMOD - in situ auto-completion for graphical models: poster. ICSE (Companion Volume) 2017: 303-304 - [c45]Michael Rath, Patrick Rempel, Patrick Mäder:
The IlmSeven Dataset. RE 2017: 516-519 - [c44]Michael Rath, David Akehurst, Christoph Borowski, Patrick Mäder:
Are Graph Query Languages Applicable for Requirements Traceability Analysis? REFSQ Workshops 2017 - [c43]Hongyu Kuang, Jia Nie, Hao Hu, Patrick Rempel, Jian Lu, Alexander Egyed, Patrick Mäder:
Analyzing closeness of code dependencies for improving IR-based Traceability Recovery. SANER 2017: 68-78 - [e3]Eric Knauss, Angelo Susi, David Ameller, Daniel M. Berry, Fabiano Dalpiaz, Maya Daneva, Marian Daun, Oscar Dieste, Peter Forbrig, Eduard C. Groen, Andrea Herrmann, Jennifer Horkoff, Fitsum Meshesha Kifetew, Marite Kirikova, Alessia Knauss, Patrick Maeder, Fabio Massacci, Cristina Palomares, Jolita Ralyté, Ahmed Seffah, Alberto Siena, Bastian Tenbergen:
Joint Proceedings of REFSQ-2017 Workshops, Doctoral Symposium, Research Method Track, and Poster Track co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2017), Essen, Germany, February 27, 2017. CEUR Workshop Proceedings 1796, CEUR-WS.org 2017 [contents] - 2016
- [c42]Patrick Rempel, Patrick Mäder:
Continuous assessment of software traceability. ICSE (Companion Volume) 2016: 747-748 - [c41]Johan Linåker, Patrick Rempel, Björn Regnell, Patrick Mäder:
How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns. REFSQ 2016: 63-81 - [c40]Patrick Rempel, Patrick Mäder:
A quality model for the systematic assessment of requirements traceability. Software Engineering 2016: 37-38 - [c39]Patrick Mäder, Alexander Egyed:
Do developers benefit from requirements traceability when evolving and maintaining a software system? Software Engineering 2016: 109-110 - 2015
- [j9]Patrick Mäder, Alexander Egyed:
Do developers benefit from requirements traceability when evolving and maintaining a software system? Empir. Softw. Eng. 20(2): 413-441 (2015) - [j8]Hongyu Kuang, Patrick Mäder, Hao Hu, Achraf Ghabi, LiGuo Huang, Jian Lü, Alexander Egyed:
Can method data dependencies support the assessment of traceability between requirements and source code? J. Softw. Evol. Process. 27(11): 838-866 (2015) - [j7]Patrick Mäder, Jane Cleland-Huang:
From Raw Project Data to Business Intelligence. IEEE Softw. 32(4): 22-25 (2015) - [c38]Patrick Rempel, Patrick Mäder:
A quality model for the systematic assessment of requirements traceability. RE 2015: 176-185 - [c37]Patrick Rempel, Patrick Mäder:
Estimating the Implementation Risk of Requirements in Agile Software Development Projects with Traceability Metrics. REFSQ 2015: 81-97 - [c36]Sugandha Lohar, Jane Cleland-Huang, Alexander Rasin, Patrick Mäder:
Live Study Proposal: Collecting Natural Language Trace Queries. REFSQ Workshops 2015: 207-210 - [c35]Patrick Rempel, Patrick Mäder, Tobias Kuschke, Jane Cleland-Huang:
Traceability Gap Analysis for Assessing the Conformance of Software Traceability to Relevant Guidelines. Software Engineering & Management 2015: 120-121 - [e2]Patrick Mäder, Rocco Oliveto:
8th IEEE/ACM International Symposium on Software and Systems Traceability, SST 2015, Florence, Italy, May 17, 2015. IEEE Computer Society 2015, ISBN 978-0-7695-5593-5 [contents] - [i2]Jane Cleland-Huang, Sanjai Rayadurgam, Patrick Mäder, Wilhelm Schäfer:
Software and Systems Traceability for Safety-Critical Projects (Dagstuhl Seminar 15162). Dagstuhl Reports 5(4): 76-97 (2015) - 2014
- [c34]Jane Cleland-Huang, Orlena Gotel, Jane Huffman Hayes, Patrick Mäder, Andrea Zisman:
Software traceability: trends and future directions. FOSE 2014: 55-69 - [c33]Patrick Rempel, Patrick Mäder, Tobias Kuschke, Jane Cleland-Huang:
Mind the gap: assessing the conformance of software traceability to relevant guidelines. ICSE 2014: 943-954 - [c32]Tobias Kuschke, Patrick Mäder:
Pattern-based auto-completion of UML modeling activities. ASE 2014: 551-556 - [c31]Jane Cleland-Huang, Mona Rahimi, Patrick Mäder:
Achieving lightweight trustworthy traceability. SIGSOFT FSE 2014: 849-852 - 2013
- [j6]Patrick Mäder, Paul L. Jones, Yi Zhang, Jane Cleland-Huang:
Strategic Traceability for Safety-Critical Projects. IEEE Softw. 30(3): 58-66 (2013) - [j5]Patrick Mäder, Jane Cleland-Huang:
A visual language for modeling and executing traceability queries. Softw. Syst. Model. 12(3): 537-553 (2013) - [c30]Patrick Rempel, Patrick Mäder, Tobias Kuschke:
Towards feature-aware retrieval of refinement traces. TEFSE@ICSE 2013: 100-104 - [c29]Tobias Kuschke, Patrick Mäder, Patrick Rempel:
Recommending Auto-completions for Software Modeling Activities. MoDELS 2013: 170-186 - [c28]Mehdi Mirakhorli, Julia Carvalho, Jane Cleland-Huang, Patrick Mäder:
A domain-centric approach for recommending architectural tactics to satisfy quality concerns. TwinPeaks@RE 2013: 1-8 - [c27]Patrick Rempel, Patrick Mäder, Tobias Kuschke:
An empirical study on project-specific traceability strategies. RE 2013: 195-204 - [c26]Patrick Rempel, Patrick Mäder, Tobias Kuschke, Ilka Philippow:
Requirements Traceability across Organizational Boundaries - A Survey and Taxonomy. REFSQ 2013: 125-140 - [c25]Elke Bouillon, Patrick Mäder, Ilka Philippow:
A Survey on Usage Scenarios for Requirements Traceability in Practice. REFSQ 2013: 158-173 - [e1]Nan Niu, Patrick Mäder:
7th International Workshop on Traceability in Emerging Forms of Software Engineering, TEFSE 2013, 19 May, 2013, San Francisco, CA, USA. IEEE Computer Society 2013 [contents] - [i1]Patrick Mäder:
Interactive Traceability Querying and Visualization for Coping With Development Complexity. CoRR abs/1301.5363 (2013) - 2012
- [j4]Patrick Mäder, Orlena Gotel:
Towards automated traceability maintenance. J. Syst. Softw. 85(10): 2205-2227 (2012) - [c24]Patrick Mäder, Alexander Egyed:
Assessing the effect of requirements traceability for software maintenance. ICSM 2012: 171-180 - [c23]Hongyu Kuang, Patrick Mäder, Hao Hu, Achraf Ghabi, LiGuo Huang, Jian Lv, Alexander Egyed:
Do data dependencies in source code complement call dependencies for understanding requirements traceability? ICSM 2012: 181-190 - [c22]Jane Cleland-Huang, Patrick Mäder, Mehdi Mirakhorli, Sorawit Amornborvornwong:
Breaking the big-bang practice of traceability: Pushing timely trace recommendations to project stakeholders. RE 2012: 231-240 - [c21]