• The software engineering research paradox: Evidence of decay, pathways to relevance, and visions for the future. In 48th International Conference on Software Engineering, 2026.
• Autonomous refactoring for perfective maintenance at scale: The agentic racer system and its empirical evaluations. In The ACM International Conference on the Foundations of Software Engineering, 2026.
• Code reviewer recommendation for high risk diffs at scale: Workflow, recommender, and live experiments. In The ACM International Conference on the Foundations of Software Engineering, 2026.
• Rui Abreu, Vijayaraghavan Murali, Peter Rigby, Chandra Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, and Nachi Nagappan. Moving faster and reducing risk: Using llms in release deployment. In 47th International Conference on Software Engineering, April-May 2025. Best paper award.
• Mahmoud Jahanshahi, David Reid, and Audris Mockus. Beyond dependencies: The role of copy-based reuse in open source software development. ACM Transactions on Software Engineering and Methodology, 2025.
• Mahmoud Jahnshahi. Copy-Based Reuse and its Implications in Open Source Software Supply Chains. PhD thesis, 2025.
• Addi Malviya-Thakur, Reed Milewicz, Lavinia Paganini, Mahmoud Jahanshahi, Ahmed Samir Imam Mahmoud, Bogdan Vasilescu, and Audris Mockus. Scientific open-source software is more sustainable than one might think!. In The ACM International Conference on the Foundations of Software Engineering, June 23-27 2025.
• Courtney Miller, Mahmoud Jahanshahi, Audris Mockus, Bogdan Vasilescu, and Christian Kastner. Understanding the response to open-source dependency abandonment in the npm ecosystem. In 47th International Conference on Software Engineering, April-May 2025. Best paper award.
• Audris Mockus and Mahmoud Jahanshahi. Cracks in the stack: Hidden vulnerabilities and licensing risks in llm pre-training datasets. In LLM4Code, April-May 2025. Best paper award.
• Audris Mockus, Rui Abreu, Peter Rigby, David Amsallem, Parveen Bansal, Kaavya Chinniah, Brian Ellis, Peng Fan, Jun Ge, Bingjie He, Kelly Hirano, Sahil Kumar, Megh Mehta, Ajay Lingapuram, Andrew Loe, Venus Montes, Maher Saba, Gursharan Singh, Matt Steiner, Weiyan Sun, Siri Uppalapati, and Nachiappan Nagappan. Leveraging risk models to improve productivity for effective code un-freeze at scale. ACM Transactions on Software Engineering and Methodology, 2025.
• Audris Mockus, Peter C Rigby, Rui Abreu, Anatoly Akkerman, Yogesh Bhootada, Payal Bhuptani, Gurnit Ghardhora, Lan Hoang Dao, Chris Hawley, Renzhi He, Sagar Krishnamoorthy, Sergei Krauze, Jianmin Li, Anton Lunov, Dragos Martac, Francois Morin, Neil Mitchell, Venus Montes, Maher Saba, Matt Steiner, Andrea Valori, Shanchao Wang, and Nachiappan Nagappan. Metrics driven reengineering and continuous code improvement at meta. 2025.
• Anna Maria Nau, Philipp Ditto, Dawnie Steadman, and Audris Mockus. Identifying factors that help improve existing decomposition-based pmi estimation methods. Journal of Forensic Anthropology, 2025.
• Anna-Maria Nau, Phillip Ditto, Dawnie Wolfe Steadman, and Audris Mockus. Towards automation of human stage of decay identification: An artificial intelligence approach. Journal of Forensic and Legal Medicine, 116:102987, 2025.
• P.C. Rigby, S. Rogers, S. Saleem, P. Suresh, D. Suskin, P. Riggs, C. Maddila, N. Nagappan, and A. Mockus. Improving code reviewer recommendation: Accuracy, latency, workload, and bystanders. ACM Transactions on Software Engineering and Methodology, 2025.
• Mahmoud Jahanshahi and Audris Mockus. Dataset: Copy-based reuse in open source software. In 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pages 42-47. IEEE, 2024.
• Mahmoud Jahanshahi, David Reid, Adam McDaniel, and Audris Mockus. Oss license identification at scale: A comprehensive dataset using world of code, 2024.
• Anna Maria Nau. Applications of Machine Learning in Forensic Investigations of Human Decomposition. PhD thesis, 2024.
• Addi Malviya-Thakur, Reed Milewicz, Lavinia Paganini, Ahmed Samir Imam Mahmoud, and Audris Mockus. Scicat: A curated dataset of scientific software repositories, 2023.
• addi Malviya-Thakur, Audris Mockus, Russel Zaretzki, Bogdan Bichescu, and Randy Bradley. How r developers explain their package choice: A survey. In International Conference on Empirical Software Engineering, October 2023.
• Audris Mockus. Msr foundational contribution award. In International Conference on Mining Software Repositories, May 2023.
• Audris Mockus. Securing large language model software supply chains, September 13 2023. ASE'23 LLMs in Software Engineering.
• Audris Mockus, Alexander Nolte, and James Herbsleb. Msr mining challenge: World of code. In Proceedings of the International Conference on Mining Software Repositories (MSR 2023), 2023.
• Audris Mockus, Peter C. Rigby, Rui Abreu, Parth Suresh, Yifen Chen, and Nachiappan Nagappan. Modeling the centrality of developer output with software supply chains. In ESEC/FSE 2023, December 2023.
• Anna-Maria Nau, Audris Mockus, and Dawnie Wolfe Steadman. Stage of decay estimation exploiting exogenous and endogenous image attributes to minimize manual labeling efforts and maximize classification performance. In IEEE International Conference on Image Processing (ICIP), October 2023.
• Anna-Maria Nau, Sara Mousavi, Dylan Lee, Rayhan Hossain, Tatianna Griffin, Dawnie Wolfe Steadman, and Audris Mockus. Icputrd: Image cloud platform for use in tagging and research on decomposition. Journal of Forensic Sciences, 2023.
• David Reid. Applying the Universal Version History Concept to Help De-Risk Copy-Based Code Reuse. PhD thesis, 2023.
• David Reid and Audris Mockus. Applying the universal version history concept to help de-risk copy-based code reuse. In 23rd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), October 2023.
• Kai Gao, Zhixing Wang, Audris Mockus, and Minghui Zhou. On the variability of software engineering needs for deep learning: Stages, trends, and application types. IEEE Transactions on Software Engineering, 2022. ISSN: 0098-5589 DOI:10.1109/TSE.2022.3163576.
• Ahmed Samir Imam Mahmoud, Tapajit Dey, Alexander Nolte, Audris Mockus, and James D Herbsleb. One-off events? an empirical study of hackathon code creation and reuse. Empirical Software Engineering, 2022.
• Audris Mockus. Tutorial: Open source software supply chains. In India Software Engineering Conference, 2022.
• David Reid, Mahmoud Janshani, and Audris Mockus. The extent of orphan vulnerabilities from code reuse in open source softwar. In ICSE 2022. ACM Press, May 2022.
• Adam Tutko, Austin Z Henley, and Audris Mockus. How are software repositories mined? a systematic literature review of workflows, methodologies, reproducibility, and tools. arXiv preprint arXiv:2204.08108, 2022.
• Tapajit Dey, Andrey Karnauch, and Audris Mockus. Representation of developer expertise in opensource software. In ICSE 2021. ACM Press, May 2021.
• Ahmed Imam, Tapajit Dey, Alexander Nolte, Audris Mockus, and James D Herbsleb. The secret life of hackathon code where does it come from and where does it go?. In 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), pages 68-79. IEEE, 2021.
• Audris Mockus. World of code: Enabling a research workflow for mining and analyzing the universe of open source vcs data, December 3 2021. DAMSS'21 Keynote.
• Sara Mousavi. Auto-curation of Large Evolving Image Datasets. PhD thesis, 2021.
• Sara Mousavi, Dylan Lee, Tatianna Griffin, Kelley Cross, Dawnie Steadman, and Audris Mockus. Schism: Semantic clustering via image sequence merging for images of human-decomposition. In WACV'21 Proceedings, January 2021.
• Peter C. Rigby Andrey Krutauz, Tapajit Dey and Audris Mockus. Do code review measures explain the incidence of post-release defects?. International Journal of Empirical Software Engineering, 25:3323-3356, 2020.
• Randy V. Bradley, Audris Mockus, Yuxing Ma, and Russell Zaretzkiand Bogdan C. Bichescu. Coordinating interdependencies in an open source software project: A replication of lindberg, et al. AIS Transactions on Replication Research, 2020. DOI: 10.17705/1atrr.00057.
• Tapajit Dey. Modeling User-affected Software Properties for Open Source Software Supply Chains. PhD thesis, 2020.
• Tapajit Dey and Audris Mockus. Deriving a usage-independent software quality metric. International Journal of Empirical Software Engineering, 25:1596–1641, 2020.
• Tapajit Dey and Audris Mockus. Effect of technical and social factors on pull request quality for the npm ecosystem. In Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement, October 2020.
• Tapajit Dey, Sara Mousavi, Eduardo Ponce, Tanner Fry, Bogdan Vasilescu, Anna Filippova, and Audris Mockus. Detecting and characterizing bots that commit code. In IEEE Working Conference on Mining Software Repositories, May 2020.
• Tapajit Dey, Bogdan Vasilescu, and Audris Mockus. An exploratory study of bot commits. In Proceedings of the IEEE/ACM 42nd international conference on software engineering workshops, pages 61-65, 2020.
• Tanner Fry, Tapajit Dey, Andrey Karnauch, and Audris Mockus. A dataset and an approach for identity resolution of 38 million author ids extracted from 2b git commits. In IEEE Working Conference on Mining Software Repositories: Data Showcase, May 2020.
• Andrey Krutauz, Tapajit Dey, Peter Rigby, and Audris Mockus. Do code review measures explain the incidence of post-release defects? case study replications and bayesian networks. In ESEC/FSE'20 Journal First Track, November 2020.
• Yuxing Ma. Software Supply Chain (SSC) Development and Application. PhD thesis, 2020.
• Yuxing Ma, Tapajit Dey, Chris Bogart, Sadika Amreen, Marat Valiev, Adam Tutko, David Kennard, Russell Zaretzki, and Audris Mockus. World of code: Enabling a research workflow for mining and analyzing the universe of open source vcs data. International Journal of Empirical Software Engineering, 2020.
• Yuxing Ma, Audris Mockus, Russell Zaretzki, Bogdan Bichescu, and Randy Bradley. A methodology for analyzing uptake of softwaretechnologies among developers. IEEE Transactions on Software Engineering, 2020.
• Audris Mockus, Diomidis Spinellis, Zoe Kotti, and Gabriel John Dusing. A complete set of related git repositories identified via community detection approaches based on shared commits. In IEEE Working Conference on Mining Software Repositories: Data Showcase, May 2020.
• Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie Steadman, and Audris Mockus. An analytical workflow for clustering forensic images. In AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2020.
• Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie Steadman, and Audris Mockus. Collaborative learning of semi-supervised clustering and classification for labeling uncurated data. In IEEE International Conference on Image Processing (ICIP), October 2020.
• Sadika Amreen. Methods of Disambiguating andDe-anonymizing Authorship in LargeScale Operational Data. PhD thesis, 2019.
• Sadika Amreen, Bogdan Bichescu, Randy Bradley, Tapajit Dey, Yuxing Ma, Audris Mockus, Sara Mousavi, and Russell Zaretzki. A methodology for measuring floss ecosystems. In Towards Engineering Free/Libre Open Source Software (FLOSS) Ecosystems for Impact and Sustainability: Communications of NII Shonan Meetings. Springer, 2019.
• Sadika Amreen, Yuxia Zang, Chris Bogart, Russell Zaretzki, and Audris Mockus. Alfaa: Active learning fingerprint based anti-aliasing for correcting developer identity errors in version control systems. International Journal of Empirical Software Engineering, 2019.
• Tapajit Dey, Yuxing Ma, and Audris Mockus. Patterns of effort contribution and demand and user classification based on participation patterns in npm ecosystem. In Proceedings of the 15th International Conference on Predictive Models and Data Analytics in Software Engineering. ACM, 2019.
• Andrey Karnauch, Sadika Amreen, and Audris Mockus. Developer reputation estimator (dre). In ASE'19, 2019.
• Yuxing Ma, Chris Bogart, Sadika Amreen, Russell Zaretzki, and Audris Mockus. World of code: An infrastructure for mining the universe of open source vcs data. In IEEE Working Conference on Mining Software Repositories, May 26 2019.
• Audris Mockus. Insights from open source supply chains, August 30 2019. FSE'19 Industry Keynote.
• Audris Mockus. Woc tutorial, 2019.
• Sara Mousavi, Angela Dautart, Audris Mockus, and Dawnie W. Steadman. Icputrd: Image cloud platform for use in tagging and research on decomposition. In National Institute of Justice, 2019 Research Symposium. NIJ, 2019.
• Sara Mousavi, Angela Dautart, Audris Mockus, and Dawnie W. Steadman. Machine learning to detect and localize forensics-relevant features. In AMERICAN ACADEMY OF FORENSIC SCIENCES, 2019 ANNUAL SCIENTIFIC MEETING, page 445. AAFS, 2019.
• Sara Mousavi, Ramin Nabati, Megan Kleeschulte, Dawnie Steadman, and Audris Mockus. Machine-assisted annotation of forensic imagery. In 26th IEEE International Conference on Image Processing (ICIP), September 22-25 2019.
• Introduction. In Towards Engineering Free/Libre Open Source Software (FLOSS) Ecosystems for Impact and Sustainability: Communications of NII Shonan Meetings. 2019.
• Yuxia Zhang, Minghui Zhou, Audris Mockus, and Zhi Jin. Companies participation in oss development - an empirical study of openstack. IEEE Transactions on Software Engineering, September 2019.
• Tapajit Dey and Audris Mockus. A Matching Based Theoretical Framework for Estimating Probability of Causation. arXiv e-prints, page arXiv:1808.04139, Aug 2018.
• Tapajit Dey and Audris Mockus. Are software dependency supply chain metrics useful in predicting change of popularity of npm packages?. In Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, pages 66-69. ACM, 2018.
• Tapajit Dey and Audris Mockus. Modeling relationship between post-release faults and usage in mobile software. In Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, pages 56-65. ACM, 2018.
• Wangcheng Yan, Audris Mockus, Tiffany B. Saul, and Dawnie W. Steadman. Curating forensic image collection using machine learning. In AMERICAN ACADEMY OF FORENSIC SCIENCES, 2018 ANNUAL SCIENTIFIC MEETING, page 139. AAFS, 2018.
• Bian Fitzgerald, Audris Mockus, and Minghui Zhou. Towards engineering free/libre open source software (floss) ecosystems for impact and sustainability, June 2017.
• Walton Macey, Dali Wang, Peter Thornton, and Audris Mockus. Live restructuring of data architecture: Wip. In Proceedings of the 12th International Workshop on Software Engineering for Science, pages 24-25. IEEE Press, 2017.
• Audris Mockus. Comparative linguistics meta-meta-science and knowledge flows, May 2017. Panel at International Conference on Global Software Engineering.
• Audris Mockus. Knowledge flows in open source software supply chains, Nov 4 2017. Keynote at the 16th National Software Applicatio Conference.
• Audris Mockus. Oscar: Open source supply chains: Asesment and mitigation of risks, 2017.
• Minghui Zhou, Qingying Chen, Audris Mockus, and Fengguang Wu. On the scalability of linux kernel maintainers' work. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, pages 27-37. ACM, 2017.
• Tapajit Dey, Jacob Logan Massengill, and Audris Mockus. Analysis of popularity of game mods: A case study. In Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, pages 133-139. ACM, 2016.
• Ian Gorton, Ayse Basar Bener, and Audris Mockus. Software engineering for big data systems. IEEE Software, 33(2):32-35, 2016.
• R. Hackbarth, A. Mockus, J. Palframan, and R. Sethi. Customer quality improvement of software systems. Software, IEEE, 33(4):40-45, 2016.
• Randy Hackbarth, Audris Mockus, John Palframan, and David Weiss. Assessing the state of software in a large enterprise: A 12-year retrospective. In The Art and Science of Analyzing Software Data, pages 411-451. Elsevier, 2016.
• Yuxing Ma, Tapajit Dey, and Audris Mockus. Modularizing global variable in climate simulation software: position paper. In Proceedings of the International Workshop on Software Engineering for Science, pages 8-11. ACM, 2016.
• A Mockus. Operational data are missing, incorrect, and decontextualized. In Perspectives on Data Science for Software Engineering, pages 317-322. Elsevier, 2016.
• Peter C Rigby, Yue Cai Zhu, Samuel M Donadelli, and Audris Mockus. Quantifying and mitigating turnover-induced knowledge loss: case studies of chrome and a project at avaya. In Software Engineering (ICSE), 2016 IEEE/ACM 38th International Conference on, pages 1006-1016. IEEE, 2016.
• Patrick Tendick and Audris Mockus. Decisions as a service for application centric real time analytics. In 2016 IEEE/ACM 2nd International Workshop on Big Data Software Engineering (BIGDSE), pages 1-7. IEEE, 2016.
• Nathan Wilder, Jared M Smith, and Audris Mockus. Exploring a framework for identity and attribute linking across heterogeneous data systems. In Proceedings of the 2nd International Workshop on BIG Data Software Engineering, pages 19-25. ACM, 2016.
• Kazuhiro Yamashita, Changyun Huang, Meiyappan Nagappan, Yasutaka Kamei, Audris Mockus, Ahmed E Hassan, and Naoyasu Ubayashi. Thresholds for size and complexity metrics: A case study from the perspective of defect density. In Software Quality, Reliability and Security (QRS), 2016 IEEE International Conference on, pages 191-201. IEEE, 2016.
• Feng Zhang, Audris Mockus, Iman Keivanloo, and Ying Zou. Towards building a universal defect prediction model with rank transformed predictors. International Journal of Empirical Software Engineering, 21(5):2107-2145, 2016.
• Minghui Zhou, Audris Mockus, Xiujuan Ma, Lu Zhang, and Hong Mei. Inflow and retention in oss communities with commercial involvement: A case study of three hybrid projects. ACM Transactions on Software Engineering and Methodology (TOSEM), 25(2):13, 2016.
• Jiaxin Zhu, Minghui Zhou, and Audris Mockus. Effectiveness of code contribution: From patch-based to pull-request-based tools. In Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, pages 871-882. ACM, 2016.
• Kapil Agrawal, Sadika Amreen, and Audris Mockus. Commit quality in five high performance computing projects. In The 2015 International Workshop on Software Engineering for High Performance Computing in Science, May 2015. Presentation.
• Audris Mockus. Evidence engineering, February 2015. Keynote at 8th India Software Engineering Conference.
• Audris Mockus, Randy Hackbarth, and John Palframan. System and method for prioritizing and remediating defect risk in source code. Technical Report U.S. Patent 9172809, granted October 27 2015.
• Audris Mockus, Randy Hackbarth, John Palframan, and Brett Shockley. System and method for prioritizing customers and predicting service escalation. Technical Report U.S. Patent 9176729, granted October 27 2015.
• Meiyappan Nagappan, Romain Robbes, Yasutaka Kamei, Éric Tanter, Shane McIntosh, Audris Mockus, and Ahmed E Hassan. An empirical study of goto in c code from github repositories. In Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, pages 404-414. ACM, 2015.
• Qimu Zheng, Audris Mockus, and Minghui Zhou. A method to identify and correct problematic software activity data: Exploiting capacity constraints and data redundancies. In ESEC/FSE'15, Florence, Italy, 2015. ACM.
• Minghui Zhou and Audris Mockus. {Who Will Stay in the FLOSS Community? Modelling Participant's Initial Behaviour}. IEEE Transactions on Software Engineering, 41(1):82-99, Jan 2015.
• Anh Nguyen Duc, Audris Mockus, Randy Hackbarth, and John Palframan. Forking and coordination in multi-platform development: a case study. In ESEM, Torino, Italy, September 2014.
• Shane McIntosh, Meiyappan Nagappan, Bram Adams, Audris Mockus, and Ahmed E. Hassan. A large-scale empirical study of the relationship between build technology and build maintenance. Journal of Empirical Software Engineering, 2014.
• Shane McIntosh, Martin Poehlmann, Elmar Juergens, Audris Mockus, Bram Adams, Ahmed E. Hassan, Brigitte Haupt, and Christian Wagner. Collecting and leveraging a benchmark of build system clones to aid in quality assessments. In ICSE'14 Software Engineering In Practice, 2014.
• Audris Mockus. Defect prediction and software risk, June 30 2014. Promise'14 Keynote/Tutorial.
• Audris Mockus. Engineering big data solutions. In ICSE'14 FOSE, 2014. Presentation.
• Audris Mockus. Is mining software repositories data science?, June 30 2014.
• Audris Mockus. Is mining software repositories data science?, May 2014. Keynote at 11th IEEE Working Conference on Mining Software Repositories 2014.
• Audris Mockus. Operational data are not experimental data, June 22-27 2014. Dagstuhl Seminar 14261: Software Development Analytics.
• Jialiang Xie, Qimu Zhengand, Minghui Zhou, and Audris Mockus. Product assignment recommender. In ICSE'14 Demonstrations, 2014.
• Feng Zhang, Audris Mockus, Iman Keivanloo, and Ying Zou. Towards building a universal defect prediction model. In 11th IEEE Working Conference on Mining Software Repositories, May 30-31 2014.
• Minghui Zhou and Audris Mockus. Mining micro-practices from operational data. In The 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering, Hong Kong, November 16-21 2014.
• Jiaxin Zhu, Minghui Zhou, and Audris Mockus. The relationship between folder use and the number of forks: A case study on github repositories. In ESEM, Torino, Italy, September 2014.
• Kennetth Cox, Stacie Hibino, Lichan Hong, Audris Mockus, and Graham Wills. A method for graphically displaying an overview. Technical Report U.S. Patent 8386920, 2013.
• Yasutaka Kamei, Emad Shihab, Bram Adams, Ahmed E. Hassan, Audris Mockus, Anand Sinha, and Naoyasu Ubayashi. A large-scale empirical study of just-in-time quality assurance. IEEE Transactions on Software Engineering, 2013.
• Audris Mockus. Law of minor release: More bugs implies better software quality. In International Workshop on Principles of Software Evolution, St Petersburg, Russia, Aug 18-19 2013. Keynote.
• Audris Mockus. The paradox of software quality, November 2013. Distinguished Seminar, Queen's University, Kingston, Canada.
• Audris Mockus. Quantifying and conveying risk in software development. In 1st Symposium on Mining Software Archives, Monte Verita, Switzerland, March 10-15 2013.
• Audris Mockus, Randy Hackbarth, and John Palframan. Risky files: An approach to focus quality improvement effort. In 9th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, 2013. Presentation.
• Dag I.K. Sjoberg, Aiko Yamashita, Bente Anda, Audris Mockus, and Tore Dyba. Quantifying the effect of code smells on maintenance effort. IEEE Transactions on Software Engineering, 2013.
• David Weiss and Audris Mockus. The chunking pattern. In International Workshop on Data Analysis Patterns in Software Engineering, 2013.
• Jialiang Xie, Minghui Zhou, and Audris Mockus. Impact of triage: a study of Mozilla and Gnome. In ESEM'13, 2013. Presentation.
• Feng Zhang, Audris Mockus, Ying Zou, Foutse Khomh, and Ahmed E. Hassan. How does context affect the distribution of software maintainability metrics? In Proceedings of the 29th IEEE International Conference on Software Maintenance, ICSM '13, 2013.
• Dag I.K. Sjøberg, Bente Anda, and Audris Mockus. Questioning software maintenance metrics: a comparative case study. In Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement, ESEM'12, pages 107-110, New York, NY, USA, 2012. ACM.
• Minghui Zhou and Audris Mockus. What make long term contributors: Willingness and opportunity in OSS community. In ICSE 2012, pages 518-528, Zürich, Switzerland, 2012. Presentation.
• Audris Mockus and David Weiss. Software chunks and distributed development. In Christof Ebert, editor, Global Software and IT: a Guide to Distributed Development, Projects, and Outsourcing, pages 69-82. Willey, 2011.
• Emad Shihab, Audris Mockus, Yasutaka Kamei, Bram Adams, and Ahmed E. Hassan. High-impact defects: a study of breakage and surprise defects. In Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering, ESEC/FSE '11, pages 300-310, New York, NY, USA, 2011. ACM.
• Jialiang Xie, Audris Mockus, and Minghui Zhou. Visualizing evolution of software issue-tracking practices. In ESEM'11, Banff, Canada, Sep 22-23 2011.
• Minghui Zhou and Audris Mockus. Does the initial environment impact the future of developers?. In ICSE 2011, pages 271-280, Honolulu, Hawaii, May 21-28 2011.
• Randy Hackbarth, Audris Mockus, John Palframan, and David Weiss. Assessing the state of software in a large enterprise. Journal of Empirical Software Engineering, 10(3):219-249, 2010.
• Audris Mockus. Globalization and the future developer. In New Frontiers for Empirical Software Engineering, Dagstuhl, Germany, March, 2010 2010. Panel: Future of Globally Distributed Software Development.
• Audris Mockus. Globalization and transfer of ownership. In International Conference on Global Software Engineering, Princeton, New Jersey, August 25, 2010 2010. Panel: Impact of Future Communication Technologies on GSD.
• Audris Mockus. Measurement in science and software engineering. In 1st Symposium on Mining Software Archives, Monte Verita, Switzerland, March 17 2010. Keynote.
• Audris Mockus. Measuring distributed software engineering. In International Conference on Global Software Engineering, Princeton, New Jersey, August 25, 2010 2010. Keynote.
• Audris Mockus. Organizational volatility and its effects on software defects. In ACM SIGSOFT / FSE, pages 117-126, Santa Fe, New Mexico, November 7-11 2010. Presentation.
• Audris Mockus. Using software changes to understand software projects, February 2010. Distinguished Seminar, Queen's University, Kingston, Canada.
• Minghui Zhou and Audris Mockus. Developer fluency: Achieving true mastery in software projects. In ACM SIGSOFT / FSE, pages 137-146, Santa Fe, New Mexico, November 7-11 2010. Presentation.
• Minghui Zhou and Audris Mockus. Growth of newcomer competence: Challenges of globalization. In FSE/SDP Workshop on the Future of Software Engineering Research, pages 442-447, Santa Fe, New Mexico, November 7-8 2010. Presentation.
• Bente C.D. Anda, Dag I.K. Sjøberg, and Audris Mockus. Variability and reproducibility in software engineering: A study of four companies that developed the same system. IEEE Transactions on Software Engineering, 35(3), May/June 2009.
• Marcelo Cataldo, Audris Mockus, Jeffrey A. Roberts, and James D. Herbsleb. Software dependencies, the structure of work dependencies and their impact on failures. IEEE Transactions on Software Engineering, 2009.
• Audris Mockus. Amassing and indexing a large sample of version control systems: towards the census of public source code history. In 6th IEEE Working Conference on Mining Software Repositories, May 16-17 2009. Presentation.
• Audris Mockus. Organizational volatility and developer productivity. In ICSE Workshop on Socio-Technical Congruence, Vancouver, Canada, May 19 2009.
• Audris Mockus. Succession: Measuring transfer of code and developer productivity. In 2009 International Conference on Software Engineering, Vancouver, CA, May 12-22 2009. ACM Press. Presentation.
• Audris Mockus. Towards understanding of software changes, 2009. Peking University, Beijing.
• Audris Mockus. Using software changes to understand software projects, 2009. Institute of Software, Chinese Academy of Sciences, Beijing.
• Audris Mockus, Nachiappan Nagappan, and T Dinh-Trong, Trung. Test coverage and post-verification defects: A multiple case study. In International Conference on Empirical Software Engineering and Measurement, Lake Buena Vista, Florida USA, October 2009. ACM. Presentation.
• Minghui Zhou, Audris Mockus, and David Weiss. Learning in offshored and legacy software projects: How product structure shapes organization. In ICSE Workshop on Socio-Technical Congruence, Vancouver, Canada, May 19 2009. Presentation.
• Hung-Fu Chang and Audris Mockus. Evaluation of source code copy detection methods on FreeBSD. In 5th Working Conference on Mining Software Repositories. ACM Press, May 10-11 2008. Presentation.
• James Herbsleb, Marcelo Cataldo, Daniela Damian, Premkumar Devanbu, Steve Easterbrook, and Audris Mockus. Socio-technical congruence (STC 2008). In ICSE Companion '08: Companion of the 30th international conference on Software engineering, pages 1027-1028, New York, NY, USA, 2008. ACM.
• James Herbsleb, Marcelo Cataldo, Daniela Damian, Premkumar Devenbu, Steve Easterbrook, and Audris Mockus. Socio-technical congruence (stc 2008). In Companion of the 30th international conference on Software engineering, 2008.
• Audris Mockus. Domain-specific defect models. In International Workshop on Defects in Large Software System, Seattle, WA, July 20 2008. Keynote.
• Audris Mockus. Faces of software quality, 2008. Microsoft Research, Redmond.
• Audris Mockus. Large scale reuse in open source software, 2008. Institute of Mathematics and Informatics, Vilnius.
• Audris Mockus. Large scale reuse in open source software, 2008. Kaunas University of Technology, Kaunas.
• Audris Mockus. Missing data in software engineering. In J. Singer et al., editor, Guide to Advanced Empirical Software Engineering, pages 185-200. Springer-Verlag, 2008.
• Audris Mockus. Succession: Measuring transfer of code and developer productivity. Technical report, Avaya Labs research, 2008.
• Audris Mockus. Transfer of code ownership, implicit teams, and organizational tomography. Technical Report ALR-2008-010, CID 135147, Avaya Labs research, 2008.
• Audris Mockus and David Weiss.Interval quality: Relating customer-perceived quality to process quality. ACM link. In 2008 International Conference on Software Engineering, pages 733-740, Leipzig, Germany, May 10-18 2008. ACM Press. Presentation.
• Audris Mockus. Large-scale code reuse in open source software. In ICSE'07 Intl. Workshop on Emerging Trends in FLOSS Research and Development, Minneapolis, Minnesota, May 21 2007. Presentation.
• Audris Mockus. Software support tools and experimental work. In V Basili and et al, editors, Empirical Software Engineering Issues: Critical Assessments and Future Directions, volume LNCS 4336, pages 91-99. Springer, 2007.
• D. L. Atkins, A. Mockus, and H. P. Siy. Value based software engineering. chapter Quantifying the Value of New Technologies for Software Development, pages 327-344. Springer Verlag Berlin Heidelberg, 2006.
• Hung-Fu Chang and Audris Mockus. Constructing universal version history. In ICSE'06 Workshop on Mining Software Repositories, pages 76-79, Shanghai, China, May 22-23 2006.
• Sunghun Kim, Thomas Zimmermann, Miryung Kim, Ahmed E. Hassan, Audris Mockus, Tudor Gîrba, Martin Pinzger, E. James Whitehead Jr., and Andreas Zeller. Ta-re: an exchange language for mining software repositories. In ICSE'06 Workshop on Mining Software Repositories, pages 22-25, Shanghai, China, May 22-23 2006.
• Audris Mockus. Empirical estimates of software availability of deployed systems. In 2006 International Symposium on Empirical Software Engineering, pages 222-231, Rio de Janeiro, Brazil, September 21-22 2006. ACM Press. Presentation.
• Audris Mockus. How to run empirical studies using project repositories. 4th International Advanced School of Empirical Software Engineering, September 20, 2006, Rio de Janeiro, Brazil 2006. Tutorial.
• Audris Mockus and David Weiss. Industrial strength software measurement, 2006. Peking University, Beijing.
• Birgit Geppert, Audris Mockus, and Frank Rößler. Refactoring for changeability: A way to go?. In Metrics 2005: 11th International Symposium on Software Metrics, Como, September 2005. IEEE CS Press. Presentation.
• Ahmed E. Hassan, Richard C. Holt, and Audris Mockus. Report on MSR 2004: International workshop on mining software repositories. In ACM SIGSOFT Software Engineering Notes, 2005.
• Audris Mockus. Software changes and software engineering. In Multi-Version Program Analysis. Schloss Dagstuhl, Germany, 26 June 2005. Keynote.
• Audris Mockus and David Weiss. Software changes and software engineering, 2005. Brooklyn Poly, Brooklyn, NY.
• Audris Mockus, Roy T. Fielding, and James Herbsleb. Two case studies of open source software development: Apache and Mozilla. In J Feller and et al, editors, Perspectives on Free and Open Source Software, pages 163--210. MIT Press, 2005.
• Audris Mockus, Ping Zhang, and Paul Li. Drivers for customer perceived software quality. In ICSE 2005, pages 225-233, St Louis, Missouri, May 2005. ACM Press.
• Audris Mockus. Effects of distributed software development and virtual teams, 2004. University of Victoria, Victoria.
• Audris Mockus. Effects of distributed software development and virtual teams, 2004. Simula Labs, Oslo.
• Daniel German and Audris Mockus. Automating the measurement of open source projects. In ICSE '03 Workshop on Open Source Software Engineering, page Automating the Measurement of Open Source Projects, Portland, Oregon, May 3-10 2003. Presentation.
• J. D. Herbsleb and A. Mockus. An empirical study of speed and communication in globally-distributed software development. IEEE Transactions on Software Engineering, 29(6):481-494, June 2003.
• James Herbsleb and Audris Mockus. Formulation and preliminary test of an empirical theory of coordination in software engineering. In 2003 International Conference on Foundations of Software Engineering, Helsinki, Finland, October 2003. ACM Press.
• Audris Mockus. Analogy based prediction of work item flow in software projects: a case study. In 2003 International Symposium on Empirical Software Engineering, pages 110-119, Rome, Italy, October 2003. ACM Press. Presentation.
• Audris Mockus, David M. Weiss, and Ping Zhang. Understanding and predicting effort in software projects. In 2003 International Conference on Software Engineering, pages 274-284, Portland, Oregon, May 3-10 2003. ACM Press. Presentation.
• D. Atkins, T. Ball, T. Graves, and A. Mockus. Using version control data to evaluate the impact of software tools: A case study of the version editor. IEEE Transactions on Software Engineering, 28(7):625-637, July 2002.
• S.G. Eick, T.L. Graves, A.F. Karr, A. Mockus, and P. Shuster. Visualizing software changes. IEEE Transactions on Software Engineering, 28(4):396-412, April 2002.
• Stacie Hibino and Audris Mockus. handiMessenger: Awareness-enhanced universal communication for mobile users. In Fabio Paternò, editor, Mobile Human-Computer Interaction, 4th International Symposium, Mobile HCI 2002, Pisa, Italy, September 18-20, 2002, Proceedings, volume 2411 of Lecture Notes in Computer Science, pages 170-183, Pisa, Italy, September, 18-20 2002. Springer.
• Audris Mockus. Analysis of software changes, 2002. University of Maryland, College Park.
• Audris Mockus. Measurement in software projects: taking advantage of version control repositories. In International Software Engineering Network, 2002, Nara, Japan, October 2002.
• Audris Mockus. Software changes: from insights to solutions, 2002. Carnegie Mellon University, Pittsburgh.
• Audris Mockus and James Herbsleb. Expertise browser: A quantitative approach to identifying expertise. In 2002 International Conference on Software Engineering, pages 503-512, Orlando, Florida, May 19-25 2002. ACM Press. Presentation.
• Audris Mockus and James Herbsleb. Why not improve coordination in distributed software development by stealing good ideas from open source. In ICSE '02 Workshop on Open Source Software Engineering, pages 35-37, Orlando, FL, May 2002.
• Audris Mockus, Roy T. Fielding, and James Herbsleb. Two case studies of open source software development: Apache and Mozilla. ACM Transactions on Software Engineering and Methodology, 11(3):1-38, July 2002.
• Stephen G. Eick, Todd L. Graves, Alan F. Karr, J. S. Marron, and Audris Mockus. Does code decay? assessing the evidence from change management data. IEEE Transactions on Software Engineering, 27(1):1-12, 2001.
• J. A. Espinosa, R.E. Kraut, S. A. Slaughter, J. F. Lerch, J. D. Herbsleb, and A. Mockus. Shared mental models, familiarity, and coordination: A multi-method study of distributed software teams. In Proc. International Conference in Information Systems, pages 513-518, Barcelona, Spain, December 15-18 2001.
• T. Graves and A. Mockus. Identifying productivity drivers by modeling work units using partial data. Technometrics, 43(2):168-179, May 2001.
• James D. Herbsleb, Audris Mockus, Thomas A. Finholt, and Rebecca E. Grinter. An empirical study of global software development: Distance and speed. In 23nd International Conference on Software Engineering, pages 81-90, Toronto, Canada, May 12-19 2001.
• Audris Mockus. Expertise browser. In Joint Statistical Meetings, 2001, Atlanta, Georgia, August 5-9 2001.
• A Mockus and JD Herbsleb. Challenges of global software development. In Metrics 2001: Seventh International Symposium on Software Metrics, pages 182-184, London, England, April 4-6 2001.
• Audris Mockus and David M. Weiss. Globalization by chunking: a quantitative approach. IEEE Software, 18(2):30-37, March 2001.
• HP Siy, A Mockus, JD Herbsleb, M Krishnan, and GT Tucker. Making the software factory work: Lessons from a decade of experience. In Metrics 2001: Seventh International Symposium on Software Metrics, pages 317-327, London, England, April 4-6 2001.
• M Ardis, KC Cox, SL Hibino, L Hong, A Mockus, and GJ Wills. Building information visualizations: A commonality analysis. Technical report, Lucent Technologies, 2000.
• D. Atkins, A. Mockus, and H. Siy. Measuring technology effects on software change cost. Bell Labs Technical Journal, 5(2):7-18, April-June 2000.
• KC Cox, SL Hibino, L Hong, A Mockus, and GJ Wills. A method for graphically displaying an overview of multiple database tables. Technical Report 10009677-991208-07TM, Lucent Technologies, 2000.
• James D. Herbsleb, Audris Mockus, Thomas A. Finholt, and Rebecca E. Grinter. Distance, dependencies, and delay in a global collaboration. In ACM 2000 Conference on Computer Supported Cooperative Work, pages 319-328, Philadelphia, Pennsylvania, USA, December 2-6 2000. ACM, ACM Press.
• JD Herbsleb, M Krishnan, A Mockus, HP Siy, and GT Tucker. Making the software factory work: Lessons from a decade of experience. Technical Report 10009677-000404-02TM, Lucent Technologies, 2000.
• S.L. Hibino, T. Graves, and A. Mockus. A web based approach to interactive visualization in context. In Advanced Visual Interfaces, pages 181-188, Palermo, Italy, May 23-26 2000.
• Audris Mockus and Lawrence G. Votta. Identifying reasons for software change using historic databases. In International Conference on Software Maintenance, pages 120-130, San Jose, California, October 11-14 2000.
• A Mockus and DM Weiss. Globalization by chunking: A quantitative approach. Technical Report 10009677-000727-03TM, Lucent Technologies, 2000.
• Audris Mockus and David M. Weiss. Predicting risk of software changes. Bell Labs Technical Journal, 5(2):169-180, April-June 2000.
• A. Mockus, R. F. Fielding, and J. Herbsleb. A case study of open source development: The Apache server. In 22nd International Conference on Software Engineering, pages 263-272, Limerick, Ireland, June 4-11 2000.
• A Mockus, H Siy, T Sundresh, J Chen, and TL Graves. Role of change size, complexity, and developer expertise in predicting the quality of a software update. Technical Report 10009677-000324-01TM, Lucent Technologies, 2000.
• D. Atkins, T. Ball, T. Graves, and A. Mockus. Using version control data to evaluate the effectiveness of software tools. In 1999 International Conference on Software Engineering, pages 324-333. ACM Press, May 16-22 1999.
• K.C. Cox, S.L. Hibino, L. Hong, A. Mockus, and G.J. Wills. Infostill: A task-oriented framework for analyzing data through information visualization. In Proc. IEEE Information Visualization Late Breaking Hot Topics, pages 19-22, San Francisco, CA, October 1999.
• W.F Eddy, M. Fitzgerald, C. Genovese, N. Lazar, A. Mockus, and Welling J. The challenge of functional magnetic resonance imaging. Journal of Computational and Graphical Statistics, 8(3):545-558, September 1999.
• S Eick, P Schuster, A Mockus, T Graves, and A Karr. Visualizing software changes. Technical Report BL0113590-990827-13TM, Lucent Technologies, 1999.
• Audris Mockus. Analysis of software evolution data. In Joint Statistical Meetings, 1999. Abstracts, page 121, Baltimore, Maryland, August 8-14 1999.
• A Mockus and T Graves. Identifying productivity drivers by modeling work units using partial data. Technical Report BL0113590-990513-09TM, Lucent Technologies, 1999.
• A. Mockus, S. G. Eick, T. L. Graves, and A. F. Karr. On measurement and analysis of software changes. Technical Report BL0113590-990401-06TM, Bell Laboratories, Lucent Technologies, 1999.
• J. Mockus, A. Mockus, and L. Mockus. Bayesian approach for randomization of heuristic algorithms in discrete programming. In Panos Pardalos, Sanguthevar Rajasekaran, and Jose Rolim, editors, DIMACS series in discrete mathematics and theoretical computer science, volume 43, pages 161-177. American Mathematical Society, 1999.
• Harvey Siy and Audris Mockus. Measuring domain engineering effects on software coding cost. In Metrics 99: Sixth International Symposium on Software Metrics, pages 304-311, Boca Raton, Florida, November 4-6 1999.
• Nancy Staudenmayer, Todd Graves, and Audris Mockus. Adapting to a new environment: How a legacy software organization copes with volatility and change. In Academy of Management Chicago 1999 Conference, Chicago, Illinois, August 1999.
• Stephen G. Eick, Audris Mockus, Todd L. Graves, and Alan F. Karr. A web laboratory for software data analysis. World Wide Web, 1(2):55-60, 1998.
• Todd L. Graves and Audris Mockus. Inferring change effort from configuration management data. In Metrics 98: Fifth International Symposium on Software Metrics, pages 267-273, Bethesda, Maryland, November 1998.
• Todd L. Graves and Audris Mockus. Inferring programmer effort from software databases. In 22nd European Meeting of Statisticians and 7th Vilnius Conference on Probability Theory and Mathematical Statistics, page 334, Vilnius, Lithuania, August 1998.
• T Graves, J Marron, A Mockus, D Perry, H Siy, N Staudenmayer, and L Votta. Adapting to a new environment: How a legacy software organization copes with volatility and change. Technical Report BL0113590-980630-07TM, Lucent Technologies, 1998.
• Audris Mockus. Estimating dependencies from spatial averages. Journal of Computational and Graphical Statistics, 7(4):501-513, 12 1998.
• Audris Mockus. If software could talk: why changes are made, 1998. Fraunhoffer IESE, Kaiserslautern.
• Audris Mockus. Inferring programmer effort from software change data, 1998. Institute of Mathematics and Informatics, Vilnius.
• Audris Mockus. Modeling software evolution, 1998. Texas A&M University, College Station, TX.
• Audris Mockus. Navigating aggregation spaces. In IEEE Information Visualization Symposium 1998 Late Breaking Hot Topics Proceedings, pages 29-32, Research Triangle Park, NC, 1998. IEEE Computer Society Press.
• Audris Mockus. Role of change history in empirical studies of software, 1998. University of Karlsruhe.
• A Mockus and LG Votta. Identifying reasons for software changes using historic databases. Technical Report BL0113590-980410-04, Lucent Technologies, 1998.
• A. Mockus, J. Mockus, and L.Mockus. Bayesian heuristic approach (BHA) and applications to discrete optimization. Fields Institute Communications, 18:153-165, 1998.
• Audris Mockus, Adam Porter, Harvey Siy, and Lawrence G. Votta. Understanding the sources of variation in software inspections. ACM Transactions on Software Engineering and Methodology, 7(1), January 1998.
• Nancy Staudenmayer, Todd Graves, J. Steve Marron, Audris Mockus, Dewayne Perry, Harvey Siy, and Lawrence Votta. Adapting to a new environment: How a legacy software organization copes with volatility and change. In 5th International Product Development Management Conference, Como, Italy, May 1998.
• SG Eick, TL Graves, AF Karr, and A Mockus. Web-based text visualization. Technical Report BL0112590-961025-22TM, Lucent Technologies, 1997.
• Stephen G. Eick, Audris Mockus, Todd L. Graves, and Alan F. Karr. Web-based text visualization. In Wolfgang Bandilla and Frank Faulbaum, editors, SoftStat '97 Advances in Statistical Software 6, pages 3-10. Lucius & Lucius, Stuttgart, Germany, March 1997.
• Audris Mockus, Todd L. Graves, and Alan F. Karr. Modelling software changes. In C.E. Minder and H. Friedl, editors, Good Statistical Practice, pages 175-179. Austrian Statistical Society, Wien, Austria, July 1997. Proceedings of the 12th International Workshop on Statistical Modeling, Biel/Bienne.
• J. Mockus, W.F. Eddy, A. Mockus, L. Mockus, and G. Reklaitis. Bayesian Heuristic Approach to Discrete and Global Optimization. Kluwer Academic Publishers, Dordrecht, 1997.
• Audris Mockus T. Ball, Stephen G. Eick. Web-based analysis of large-scale software systems. In ICSE '97 Workshop on Software Engineering (on) the World Wide Web, Boston, MA, May 1997.
• W. F. Eddy and A. Mockus. Dynamic visualization in modelling and optimization of ill defined problems. In C.A. Floudas and P.M. Pardalos, editors, State of the Art in Global Optimization: computational methods and applications, pages 499-520. Kluwer Academic Publishers, Dordrecht, 1996.
• W.F. Eddy and A. Mockus. An interactive icon index: Images of the outer planets. Journal of Computational and Graphical Statistics, 5(1):100-111, 1996.
• W.F Eddy, M. Fitzgerald, C. Genovese, and A. Mockus. The challenge of functional magnetic resonance imaging. In Massive Data Sets, pages 39-45, Washington, D.C., 1996. National Academy Press.
• W.F. Eddy, M. Fitzgerald, C.R. Genovese, A. Mockus, and D.C. Noll. Functional imaging analysis software - computational olio. In A. Prat, editor, Proceedings in Computational Statistics, pages 39-49. Physica-Verlag, Heidelberg, 1996.
• W.F. Eddy, A. Mockus, and S. Oue. Approximate single linkage cluster analysis of large data sets in spaces of high dimension. Computational Statistics and Data Analysis, 23:29-43, 1996.
• A. Mockus, W.F. Eddy, S.Y. Chang, and K.R. Thulborn. Software for the visualization of fMRI data. In it Proceedings of the International Society for Magnetic Resonance in Medicine Fourth Scientific Meeting and Exhibitionn, page 1774, 1996. Presentation.
• Audris Mockus, Adam A. Porter, Harvey P. Siy, and Lawrence G. Votta. Understanding the sources of variation in software inspections. Technical Report BL0112590-960416-12TM, Bell Laboratories, Lucent Technologies, Naperville, IL, April 1996.
• M. Behrmann, P.A. Carpenter, S.Y. Chang, W.F. Eddy, J.S. Gillen, M.A. Just, T.A. Keller, A. Mockus, T.A. Tasciyan, and K.R. Thulborn. Test-retest reproducibility during fMRI studies: Primary visual and cognitive paradigms. In Proceedings of the Society of Magnetic Resonance, Third Scientific Meeting, volume 2, page 843, 1995.
• W. F. Eddy and A. Mockus. Discovering, describing, and understanding spatial-temporal patterns of disease using dynamic graphics. In Proceedings of the 25th Public Health Conference on Records and Statistics, U.S. Department of Health and Human Services, pages 14-17, 1995. Presentation.
• W.F. Eddy and A. Mockus. Visualizing spatial and temporal trends for the incidence of six diseases. In Symposium on Statistical Methods 1995. Small Area Statistics in Public Health, Atlanta, Georgia, 1995.
• M. Lavine and A. Mockus. A nonparametric Bayes method for isotonic regression. Journal of Statistical Planning and Inference, 46:235-248, 1995.
• A. Mockus. Estimating dependencies from spatial averages. In American Statistical Association: 1995 Proceedings of the Section on Statistical Graphics, Orlando, Florida, August 1995.
• A. Mockus, J. Mockus, and L. Mockus. Discrete optimization, information based complexity, and Bayesian heuristics approach. In Proceedings of International Symposium on Operations Research with Applications in Engineering Technology and Management (ISORA'95), August 19-22, Beijing, China, 1995.
• W.F. Eddy and A. Mockus. An example of the estimation and display of a smoothly varying function of time and space - the incidence of mumps disease. Journal of the American Society for Information Science, 45(9):686-693, 1994.
• W.F. Eddy and A. Mockus. An interactive image index. In American Statistical Association: 1994 Proceedings of the Section on Statistical Graphics, Toronto, Canada, 1994.
• A. Mockus. Predicting a Space-Time Process from Aggregate Data Exemplified by the Animation of Mumps Disease. PhD thesis, 1994.
• A. Mockus, J. Mockus, and L. Mockus. Adapting stochastic and heuristic methods for discrete optimization problems. Informatica, 5(1):123-166, 1994.
• A. Mockus, J. Mockus, and L. Mockus. Bayesian approach in stochastic and heuristic methods of global and discrete optimization. In Abstracts, Second World Meeting, International Society for Bayesian Analysis, pages 10-11, Alicante, Spain, 1994.
• W.F. Eddy and A. Mockus. An example of noninteractive dynamic graphics for the visualization of manufacturing process data. International Statistical Review, 61(1):81-95, 1993.
• W.F. Eddy and A. Mockus. Noninteractive display of functions with temporal and spatial variation (or surreal-time graphics). In New Directions in Statistical Data Analysis and Robustness, pages 47-60. Birkh auser Verlag, Basel, 1993.
• W.F. Eddy, M.M. Meyer, A. Mockus, M.J. Schervish, K. Tan, and K. Viele. Smoothing census adjustment factors - an application of high performance computing. In it Computing Science and Statistics: Proceedings of the 24th Symposium on the Interface, pages 503-510, 1992.
• A. Mockus and L. Mockus. Designing software for global optimization. Informatica, 1(1):71-88, 1990.
• Mahmoud Jahanshahi, David Reid, Adam McDaniel, and Audris Mockus. Oss license identification at scale: A comprehensive dataset using world of code. In 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR).
• Audris Mockus. Evidence engineering. Invited talk at Business Analytics Forum.
• Audris Mockus. Towards evidence engineering. Invited talk at Concordia University.

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