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- affiliation: University of Tennessee, Knoxville, Department of Elecrical Engineering and Computer Science
- affiliation: Avaya Labs Research, Basking Ridge, USA
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2020 – today
- 2024
[c91]Mahmoud Jahanshahi
, Audris Mockus:
Dataset: Copy-based Reuse in Open Source Software. MSR 2024: 42-47- [c90]Addi Malviya-Thakur, Audris Mockus:
The Role of Data Filtering in Open Source Software Ranking and Selection. WSESE@ICSE 2024: 7-12 - [i34]Addi Malviya-Thakur, Audris Mockus:
The Role of Data Filtering in Open Source Software Ranking and Selection. CoRR abs/2401.10136 (2024) - [i33]Anna-Maria Nau, Phillip Ditto, Dawnie W. Steadman, Audris Mockus:
Towards Automation of Human Stage of Decay Identification: An Artificial Intelligence Approach. CoRR abs/2408.10414 (2024) - [i32]Mahmoud Jahanshahi, David Reid, Adam McDaniel, Audris Mockus:
OSS License Identification at Scale: A Comprehensive Dataset Using World of Code. CoRR abs/2409.04824 (2024) - [i31]Mahmoud Jahanshahi, David Reid, Audris Mockus:
Beyond Dependencies: The Role of Copy-Based Reuse in Open Source Software Development. CoRR abs/2409.04830 (2024) - [i30]Anna-Maria Nau, Phillip Ditto, Dawnie W. Steadman, Audris Mockus:
Identifying Factors to Help Improve Existing Decomposition-Based PMI Estimation Methods. CoRR abs/2409.09056 (2024) - [i29]Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan:
Moving Faster and Reducing Risk: Using LLMs in Release Deployment. CoRR abs/2410.06351 (2024) - 2023
- [j35]Kai Gao, Zhixing Wang, Audris Mockus, Minghui Zhou:
On the Variability of Software Engineering Needs for Deep Learning: Stages, Trends, and Application Types. IEEE Trans. Software Eng. 49(2): 760-776 (2023) - [c89]Addi Malviya-Thakur, Audris Mockus, Russell Zaretzki, Bogdan C. Bichescu, Randy V. Bradley:
How R Developers explain their Package Choice: A Survey. ESEM 2023: 1-12 - [c88]Anna-Maria Nau, Audris Mockus, Dawnie W. Steadman:
Stage of Decay Estimation Exploiting Exogenous and Endogenous Image Attributes to Minimize Manual Labeling Efforts and Maximize Classification Performance. ICIP 2023: 2705-2709 - [c87]David Reid, Audris Mockus:
Applying the Universal Version History Concept to Help De-Risk Copy-Based Code Reuse. SCAM 2023: 1-12 - [c86]Audris Mockus, Peter C. Rigby, Rui Abreu, Parth Suresh, Yifen Chen, Nachiappan Nagappan:
Modeling the Centrality of Developer Output with Software Supply Chains. ESEC/SIGSOFT FSE 2023: 1809-1819 - [i28]Addi Malviya-Thakur, Reed Milewicz, Lavinia Paganini, Ahmed Samir Imam Mahmoud, Audris Mockus:
SciCat: A Curated Dataset of Scientific Software Repositories. CoRR abs/2312.06382 (2023) - [i27]Mahmoud Jahanshahi, Audris Mockus:
Dataset: Copy-based Reuse in Open Source Software. CoRR abs/2312.09370 (2023) - 2022
- [j34]Ahmed Samir Imam Mahmoud, Tapajit Dey, Alexander Nolte, Audris Mockus, James D. Herbsleb:
One-off events? An empirical study of hackathon code creation and reuse. Empir. Softw. Eng. 27(7): 167 (2022) - [j33]Yuxing Ma, Audris Mockus, Russell Zaretzki, Randy V. Bradley, Bogdan C. Bichescu:
A Methodology for Analyzing Uptake of Software Technologies Among Developers. IEEE Trans. Software Eng. 48(2): 485-501 (2022) - [c85]David Reid, Mahmoud Jahanshahi, Audris Mockus:
The Extent of Orphan Vulnerabilities from Code Reuse in Open Source Software. ICSE 2022: 2104-2115 - [i26]Sara Mousavi, Zhenning Yang, Kelley Cross, Dawnie W. Steadman, Audris Mockus:
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images. CoRR abs/2202.11900 (2022) - [i25]Adam Tutko, Austin Z. Henley, Audris Mockus:
How are Software Repositories Mined? A Systematic Literature Review of Workflows, Methodologies, Reproducibility, and Tools. CoRR abs/2204.08108 (2022) - [i24]Ahmed Samir Imam Mahmoud, Tapajit Dey, Alexander Nolte, Audris Mockus, James D. Herbsleb:
One-off Events? An Empirical Study of Hackathon Code Creation and Reuse. CoRR abs/2207.01015 (2022) - 2021
- [j32]Yuxing Ma, Tapajit Dey, Chris Bogart, Sadika Amreen, Marat Valiev, Adam Tutko, David Kennard, Russell Zaretzki, Audris Mockus:
World of code: enabling a research workflow for mining and analyzing the universe of open source VCS data. Empir. Softw. Eng. 26(2): 22 (2021) - [j31]Yuxia Zhang, Minghui Zhou, Audris Mockus, Zhi Jin:
Companies' Participation in OSS Development-An Empirical Study of OpenStack. IEEE Trans. Software Eng. 47(10): 2242-2259 (2021) - [c84]Tapajit Dey, Andrey Karnauch, Audris Mockus:
Replication Package for Representation of Developer Expertise in Open Source Software. ICSE (Companion Volume) 2021: 236-237 - [c83]Tapajit Dey, Andrey Karnauch, Audris Mockus:
Representation of Developer Expertise in Open Source Software. ICSE 2021: 995-1007 - [c82]Ahmed Imam, Tapajit Dey, Alexander Nolte, Audris Mockus, James D. Herbsleb:
The Secret Life of Hackathon Code Where does it come from and where does it go? MSR 2021: 68-79 - [c81]Sara Mousavi, Dylan Lee, Tatianna Griffin, Kelley Cross, Dawnie W. Steadman, Audris Mockus:
SChISM: Semantic Clustering via Image Sequence Merging for Images of Human-Decomposition. WACV 2021: 2189-2198 - [i23]Ahmed Imam, Tapajit Dey, Alexander Nolte, Audris Mockus, James D. Herbsleb:
The Secret Life of Hackathon Code. CoRR abs/2103.01145 (2021) - [i22]Sara Mousavi, Zhenning Yang, Kelley Cross, Dawnie W. Steadman, Audris Mockus:
Pseudo Pixel-level Labeling for Images with Evolving Content. CoRR abs/2105.09975 (2021) - 2020
- [j30]Sadika Amreen, Audris Mockus, Russell Zaretzki, Christopher Bogart, Yuxia Zhang:
ALFAA: Active Learning Fingerprint based Anti-Aliasing for correcting developer identity errors in version control systems. Empir. Softw. Eng. 25(2): 1136-1167 (2020) - [j29]Tapajit Dey, Audris Mockus:
Deriving a usage-independent software quality metric. Empir. Softw. Eng. 25(2): 1596-1641 (2020) - [j28]Andrey Krutauz, Tapajit Dey, Peter C. Rigby, Audris Mockus:
Do code review measures explain the incidence of post-release defects? Empir. Softw. Eng. 25(5): 3323-3356 (2020) - [c80]Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus:
An Analytical Workflow for Clustering Forensic Images (Student Abstract). AAAI 2020: 13879-13880 - [c79]Tapajit Dey, Audris Mockus:
Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem. ESEM 2020: 11:1-11:11 - [c78]Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus:
Collaborative Learning Of Semi-Supervised Clustering And Classification For Labeling Uncurated Data. ICIP 2020: 1716-1720 - [c77]Tapajit Dey, Bogdan Vasilescu, Audris Mockus:
An Exploratory Study of Bot Commits. ICSE (Workshops) 2020: 61-65 - [c76]Tapajit Dey, Sara Mousavi, Eduardo Ponce, Tanner Fry, Bogdan Vasilescu, Anna Filippova, Audris Mockus:
Detecting and Characterizing Bots that Commit Code. MSR 2020: 209-219 - [c75]Audris Mockus, Diomidis Spinellis, Zoe Kotti, Gabriel John Dusing:
A Complete Set of Related Git Repositories Identified via Community Detection Approaches Based on Shared Commits. MSR 2020: 513-517 - [c74]Tanner Fry, Tapajit Dey, Andrey Karnauch, Audris Mockus:
A Dataset and an Approach for Identity Resolution of 38 Million Author IDs extracted from 2B Git Commits. MSR 2020: 518-522 - [c73]Diomidis Spinellis, Zoe Kotti, Audris Mockus:
A Dataset for GitHub Repository Deduplication. MSR 2020: 523-527 - [d3]Diomidis Spinellis, Zoe Kotti, Audris Mockus:
A Dataset for GitHub Repository Deduplication. Zenodo, 2020
- [d2]Diomidis Spinellis, Zoe Kotti, Audris Mockus:
A Dataset for GitHub Repository Deduplication: Replication Package. Version 1.0.0.0. Zenodo, 2020 [all versions] - [d1]Diomidis Spinellis, Zoe Kotti, Audris Mockus:
A Dataset for GitHub Repository Deduplication: Replication Package. Version 1.0.0.0. Zenodo, 2020 [all versions] - [i21]Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus:
An Analytical Workflow for Clustering Forensic Images. CoRR abs/2001.05845 (2020) - [i20]Diomidis Spinellis, Zoe Kotti, Audris Mockus:
A Dataset for GitHub Repository Deduplication. CoRR abs/2002.02314 (2020) - [i19]Audris Mockus, Diomidis Spinellis, Zoe Kotti, Gabriel John Dusing:
A Complete Set of Related Git Repositories Identified via Community Detection Approaches Based on Shared Commits. CoRR abs/2002.02707 (2020) - [i18]Tapajit Dey, Audris Mockus:
Deriving a Usage-Independent Software Quality Metric. CoRR abs/2002.09989 (2020) - [i17]Tapajit Dey, Audris Mockus:
Which Pull Requests Get Accepted and Why? A study of popular NPM Packages. CoRR abs/2003.01153 (2020) - [i16]Tapajit Dey, Sara Mousavi, Eduardo Ponce, Tanner Fry, Bogdan Vasilescu, Anna Filippova, Audris Mockus:
Detecting and Characterizing Bots that Commit Code. CoRR abs/2003.03172 (2020) - [i15]Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus:
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data. CoRR abs/2003.04261 (2020) - [i14]Tapajit Dey, Bogdan Vasilescu, Audris Mockus:
An Exploratory Study of Bot Commits. CoRR abs/2003.07961 (2020) - [i13]Tanner Fry, Tapajit Dey, Andrey Karnauch, Audris Mockus:
A Dataset and an Approach for Identity Resolution of 38 Million Author IDs extracted from 2B Git Commits. CoRR abs/2003.08349 (2020) - [i12]Andrey Krutauz, Tapajit Dey, Peter C. Rigby, Audris Mockus:
Do Code Review Measures Explain the Incidence of Post-Release Defects? CoRR abs/2005.09217 (2020) - [i11]Tapajit Dey, Andrey Karnauch, Audris Mockus:
Representation of Developer Expertise in Open Source Software. CoRR abs/2005.10176 (2020) - [i10]Tapajit Dey, Audris Mockus:
Effect of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem. CoRR abs/2007.04816 (2020) - [i9]Adam Tutko, Austin Z. Henley, Audris Mockus:
More Effective Software Repository Mining. CoRR abs/2008.03439 (2020) - [i8]Yuxing Ma, Tapajit Dey, Chris Bogart, Sadika Amreen, Marat Valiev, Adam Tutko, David Kennard, Russell Zaretzki, Audris Mockus:
World of Code: Enabling a Research Workflow for Mining and Analyzing the Universe of Open Source VCS data. CoRR abs/2010.16196 (2020)
2010 – 2019
- 2019
- [c72]Sara Mousavi, Ramin Nabati, Megan Kleeschulte, Dawnie W. Steadman, Audris Mockus:
Machine-Assisted Annotation of Forensic Imagery. ICIP 2019: 1595-1599 - [c71]Sadika Amreen, Andrey Karnauch, Audris Mockus:
Developer Reputation Estimator (DRE). ASE 2019: 1082-1085 - [c70]Yuxing Ma, Chris Bogart, Sadika Amreen, Russell Zaretzki, Audris Mockus:
World of code: an infrastructure for mining the universe of open source VCS data. MSR 2019: 143-154 - [c69]Tapajit Dey, Yuxing Ma, Audris Mockus:
Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem. PROMISE 2019: 36-45 - [c68]Audris Mockus:
Insights from open source software supply chains (keynote). ESEC/SIGSOFT FSE 2019: 3 - [i7]Sadika Amreen, Audris Mockus, Chris Bogart, Yuxia Zhang, Russell Zaretzki:
ALFAA: Active Learning Fingerprint Based Anti-Aliasing for Correcting Developer Identity Errors in Version Control Data. CoRR abs/1901.03363 (2019) - [i6]Sara Mousavi, Ramin Nabati, Megan Kleeschulte, Audris Mockus:
Machine-assisted annotation of forensic imagery. CoRR abs/1902.10848 (2019) - [i5]Tapajit Dey, Yuxing Ma, Audris Mockus:
Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem. CoRR abs/1907.06538 (2019) - [i4]Yuxing Ma, Audris Mockus, Russell Zaretzki, Randy V. Bradley, Bogdan C. Bichescu:
A Methodology for Analyzing Uptake of Software Technologies Among Developers. CoRR abs/1908.11431 (2019) - 2018
- [c67]Tapajit Dey, Audris Mockus:
Modeling Relationship between Post-Release Faults and Usage in Mobile Software. PROMISE 2018: 56-65 - [c66]Tapajit Dey, Audris Mockus:
Are Software Dependency Supply Chain Metrics Useful in Predicting Change of Popularity of NPM Packages? PROMISE 2018: 66-69 - [e3]Markku Oivo, Daniel Méndez Fernández, Audris Mockus:
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2018, Oulu, Finland, October 11-12, 2018. ACM 2018 [contents] - 2017
- [c65]Walton Macey, Dali Wang, Peter E. Thornton, Audris Mockus:
WIP: Live Restructuring of Data Architecture. SE4Science@ICSE 2017: 24-25 - [c64]Minghui Zhou, Qingying Chen, Audris Mockus, Fengguang Wu:
On the scalability of Linux kernel maintainers' work. ESEC/SIGSOFT FSE 2017: 27-37 - [i3]Brian Fitzgerald, Audris Mockus, Minghui Zhou:
Towards Engineering Free/Libre OpenSource Software (FLOSS) Ecosystems forImpact and Sustainability (NII Shonan Meeting 2017-8). NII Shonan Meet. Rep. 2017 (2017) - 2016
- [j27]Feng Zhang, Audris Mockus, Iman Keivanloo, Ying Zou:
Towards building a universal defect prediction model with rank transformed predictors. Empir. Softw. Eng. 21(5): 2107-2145 (2016) - [j26]Ian Gorton, Ayse Basar Bener, Audris Mockus:
Software Engineering for Big Data Systems. IEEE Softw. 33(2): 32-35 (2016) - [j25]Randy L. Hackbarth, Audris Mockus, John Douglas Palframan, Ravi Sethi:
Improving Software Quality as Customers Perceive It. IEEE Softw. 33(4): 40-45 (2016) - [j24]Minghui Zhou, Audris Mockus, Xiujuan Ma, Lu Zhang, Hong Mei:
Inflow and Retention in OSS Communities with Commercial Involvement: A Case Study of Three Hybrid Projects. ACM Trans. Softw. Eng. Methodol. 25(2): 13:1-13:29 (2016) - [c63]Tapajit Dey, Jacob Logan Massengill, Audris Mockus:
Analysis of Popularity of Game Mods: A Case Study. CHI PLAY (Companion) 2016: 133-139 - [c62]Patrick Tendick, Audris Mockus:
Decisions as a service for application centric real time analytics. BIGDSE@ICSE 2016: 1-7 - [c61]Yuxing Ma, Tapajit Dey, Audris Mockus:
Modularizing global variable in climate simulation software: position paper. SE4Science@ICSE 2016: 8-11 - [c60]Nathan Wilder, Jared M. Smith, Audris Mockus:
Exploring a framework for identity and attribute linking across heterogeneous data systems. BIGDSE@ICSE 2016: 19-25 - [c59]Peter C. Rigby, Yue Cai Zhu, Samuel M. Donadelli, Audris Mockus:
Quantifying and mitigating turnover-induced knowledge loss: case studies of chrome and a project at avaya. ICSE 2016: 1006-1016 - [c58]Kazuhiro Yamashita, Changyun Huang, Meiyappan Nagappan, Yasutaka Kamei, Audris Mockus, Ahmed E. Hassan, Naoyasu Ubayashi:
Thresholds for Size and Complexity Metrics: A Case Study from the Perspective of Defect Density. QRS 2016: 191-201 - [c57]Jiaxin Zhu, Minghui Zhou, Audris Mockus:
Effectiveness of code contribution: from patch-based to pull-request-based tools. SIGSOFT FSE 2016: 871-882 - [p4]Audris Mockus:
Operational data are missing, incorrect, and decontextualized. Perspectives on Data Science for Software Engineering 2016: 317-322 - [i2]Yuxing Ma, Tapajit Dey, Jared M. Smith, Nathan Wilder, Audris Mockus:
Crowdsourcing the discovery of software repositories in an educational environment. PeerJ Prepr. 4: e2551 (2016) - 2015
- [j23]Shane McIntosh, Meiyappan Nagappan, Bram Adams, Audris Mockus, Ahmed E. Hassan:
A Large-Scale Empirical Study of the Relationship between Build Technology and Build Maintenance. Empir. Softw. Eng. 20(6): 1587-1633 (2015) - [j22]Minghui Zhou, Audris Mockus:
Who Will Stay in the FLOSS Community? Modeling Participant's Initial Behavior. IEEE Trans. Software Eng. 41(1): 82-99 (2015) - [c56]Kapil Agrawal, Sadika Amreen, Audris Mockus:
Commit Quality in Five High Performance Computing Projects. SE4HPCS@ICSE 2015: 24-29 - [c55]Audris Mockus:
Evidence Engineering. ISEC 2015: 8 - [c54]Meiyappan Nagappan, Romain Robbes, Yasutaka Kamei, Éric Tanter, Shane McIntosh, Audris Mockus, Ahmed E. Hassan:
An empirical study of goto in C code from GitHub repositories. ESEC/SIGSOFT FSE 2015: 404-414 - [c53]Qimu Zheng, Audris Mockus, Minghui Zhou:
A method to identify and correct problematic software activity data: exploiting capacity constraints and data redundancies. ESEC/SIGSOFT FSE 2015: 637-648 - [p3]Randy L. Hackbarth, Audris Mockus, John Douglas Palframan, David M. Weiss:
Assessing the State of Software in a Large Enterprise. The Art and Science of Analyzing Software Data 2015: 411-451 - [i1]Meiyappan Nagappan, Romain Robbes, Yasutaka Kamei, Éric Tanter, Shane McIntosh, Audris Mockus, Ahmed E. Hassan:
An empirical study of goto in C code. PeerJ Prepr. 3: e826 (2015) - 2014
- [c52]Jiaxin Zhu, Minghui Zhou, Audris Mockus:
Patterns of folder use and project popularity: a case study of github repositories. ESEM 2014: 30:1-30:4 - [c51]Anh Nguyen Duc, Audris Mockus, Randy L. Hackbarth, John Douglas Palframan:
Forking and coordination in multi-platform development: a case study. ESEM 2014: 59:1-59:10 - [c50]Audris Mockus:
Engineering big data solutions. FOSE 2014: 85-99 - [c49]Shane McIntosh, Martin Poehlmann, Elmar Jürgens, Audris Mockus, Bram Adams, Ahmed E. Hassan, Brigitte Haupt, Christian Wagner:
Collecting and leveraging a benchmark of build system clones to aid in quality assessments. ICSE Companion 2014: 145-154 - [c48]Jialiang Xie, Qimu Zheng, Minghui Zhou, Audris Mockus:
Product assignment recommender. ICSE Companion 2014: 556-559 - [c47]Audris Mockus:
Is mining software repositories data science? (keynote). MSR 2014: 1 - [c46]Feng Zhang, Audris Mockus, Iman Keivanloo, Ying Zou:
Towards building a universal defect prediction model. MSR 2014: 182-191 - [c45]Audris Mockus:
Defect prediction and software risk. PROMISE 2014: 1 - [c44]Minghui Zhou, Audris Mockus:
Mining micro-practices from operational data. SIGSOFT FSE 2014: 845-848 - 2013
- [j21]Yasutaka Kamei, Emad Shihab, Bram Adams, Ahmed E. Hassan, Audris Mockus, Anand Sinha, Naoyasu Ubayashi:
A Large-Scale Empirical Study of Just-in-Time Quality Assurance. IEEE Trans. Software Eng. 39(6): 757-773 (2013) - [j20]Dag I. K. Sjøberg, Aiko Fallas Yamashita, Bente Cecilie Dahlum Anda, Audris Mockus, Tore Dybå:
Quantifying the Effect of Code Smells on Maintenance Effort. IEEE Trans. Software Eng. 39(8): 1144-1156 (2013) - [c43]Jialiang Xie, Minghui Zhou, Audris Mockus:
Impact of Triage: A Study of Mozilla and Gnome. ESEM 2013: 247-250 - [c42]David M. Weiss, Audris Mockus:
The chunking pattern. DAPSE@ICSE 2013: 35-37 - [c41]Feng Zhang, Audris Mockus, Ying Zou, Foutse Khomh, Ahmed E. Hassan:
How Does Context Affect the Distribution of Software Maintainability Metrics? ICSM 2013: 350-359 - [c40]Audris Mockus, Randy L. Hackbarth, John Douglas Palframan:
Risky files: an approach to focus quality improvement effort. ESEC/SIGSOFT FSE 2013: 691-694 - 2012
- [c39]Dag I. K. Sjøberg, Bente Anda, Audris Mockus:
Questioning software maintenance metrics: a comparative case study. ESEM 2012: 107-110 - [c38]Minghui Zhou, Audris Mockus:
What make long term contributors: Willingness and opportunity in OSS community. ICSE 2012: 518-528 - 2011
- [j19]Marcelo Cataldo, Kate Ehrlich, Audris Mockus:
Guest Editors' Introduction: Special Section on the Socio-Technical Environment of Software Development Projects. IEEE Trans. Software Eng. 37(3): 305-306 (2011) - [c37]Minghui Zhou, Audris Mockus:
Does the initial environment impact the future of developers. ICSE 2011: 271-280 - [c36]Emad Shihab, Audris Mockus, Yasutaka Kamei, Bram Adams, Ahmed E. Hassan:
High-impact defects: a study of breakage and surprise defects. SIGSOFT FSE 2011: 300-310 - 2010
- [j18]Randy L. Hackbarth, Audris Mockus, John Douglas Palframan, David M. Weiss:
Assessing the state of software in a large enterprise. Empir. Softw. Eng. 15(3): 219-249 (2010) - [c35]