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ORCIDZhen Ming (Jack) Jiang
Zhen Ming Jack Jiang – Zhen Ming Jiang
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- affiliation: York University, Toronto, Canada
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2020 – today
- 2024
[j26]Hao Li
, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming Jiang:
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. IEEE Access 12: 70676-70689 (2024)- [j25]Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming (Jack) Jiang:
Bug characterization in machine learning-based systems. Empir. Softw. Eng. 29(1): 14 (2024) - [c50]Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming (Jack) Jiang:
Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation. BIAS 2024: 46-63 - [c49]Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur, Keheliya Gallaba, Filipe Roseiro Côgo, Boyuan Chen, Haoxiang Zhang, Kishanthan Thangarajah, Gustavo Ansaldi Oliva, Jiahuei (Justina) Lin, Wali Mohammad Abdullah, Zhen Ming (Jack) Jiang:
Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. SIGSOFT FSE Companion 2024: 294-305 - [c48]Alexandru Baluta, Yar Rouf, Joydeep Mukherjee, Zhen Ming Jiang, Marin Litoiu:
Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications. ICPE 2024: 286-297 - [i21]Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming Jiang:
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. CoRR abs/2401.10359 (2024) - [i20]Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur, Keheliya Gallaba, Filipe Roseiro Côgo, Boyuan Chen, Haoxiang Zhang, Kishanthan Thangarajah, Gustavo Ansaldi Oliva, Jiahuei Lin, Wali Mohammad Abdullah, Zhen Ming Jiang:
Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. CoRR abs/2402.15943 (2024) - [i19]Ahmed E. Hassan, Gustavo Ansaldi Oliva, Dayi Lin, Boyuan Chen, Zhen Ming Jiang:
Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers. CoRR abs/2404.10225 (2024) - [i18]Xu Yang, Gopi Krishnan Rajbahadur, Dayi Lin, Shaowei Wang, Zhen Ming Jiang:
SimClone: Detecting Tabular Data Clones using Value Similarity. CoRR abs/2407.12802 (2024) - 2023
- [j24]Aaditya Bhatia, Ellis E. Eghan, Manel Grichi, William G. Cavanagh, Zhen Ming (Jack) Jiang, Bram Adams:
Towards a change taxonomy for machine learning pipelines. Empir. Softw. Eng. 28(3): 60 (2023) - [j23]Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming (Jack) Jiang:
Bugs in machine learning-based systems: a faultload benchmark. Empir. Softw. Eng. 28(3): 62 (2023) - [j22]Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming (Jack) Jiang:
GitHub Copilot AI pair programmer: Asset or Liability? J. Syst. Softw. 203: 111734 (2023) - [c47]Yan Zhou, Jinfu Chen, Yong Shi, Boyuan Chen, Zhen Ming Jack Jiang:
An Empirical Comparison on the Results of Different Clone Detection Setups for C-based Projects. ICSE-SEIP 2023: 74-86 - [i17]Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan:
A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. CoRR abs/2306.11673 (2023) - [i16]Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming Jiang:
A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation. CoRR abs/2307.11298 (2023) - [i15]Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming Jiang:
Bug Characterization in Machine Learning-based Systems. CoRR abs/2307.14512 (2023) - [i14]Yingzhe Lyu, Heng Li, Zhen Ming Jiang, Ahmed E. Hassan:
Assessing the Maturity of Model Maintenance Techniques for AIOps Solutions. CoRR abs/2311.03213 (2023) - [i13]Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang:
A Survey on Query-based API Recommendation. CoRR abs/2312.10623 (2023) - [i12]Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming Jiang, Mouna Abidi, Ahmed E. Hassan:
Studying the Practices of Testing Machine Learning Software in the Wild. CoRR abs/2312.12604 (2023) - 2022
- [j21]Boyuan Chen, Zhen Ming (Jack) Jiang:
A Survey of Software Log Instrumentation. ACM Comput. Surv. 54(4): 90:1-90:34 (2022) - [j20]Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin, Boyuan Chen, Zhen Ming (Jack) Jiang:
Towards a Consistent Interpretation of AIOps Models. ACM Trans. Softw. Eng. Methodol. 31(1): 16:1-16:38 (2022) - [j19]Yong Shi, Mingzhi Wen, Filipe Roseiro Côgo, Boyuan Chen, Zhen Ming Jiang:
An Experience Report on Producing Verifiable Builds for Large-Scale Commercial Systems. IEEE Trans. Software Eng. 48(9): 3361-3377 (2022) - [c46]Jiawen Xiong, Yong Shi, Boyuan Chen, Filipe Roseiro Côgo, Zhen Ming Jiang:
Towards Build Verifiability for Java-based Systems. ICSE (SEIP) 2022: 297-306 - [c45]Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang:
Towards Training Reproducible Deep Learning Models. ICSE 2022: 2202-2214 - [c44]Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jack Jiang:
An Empirical Study of Challenges in Converting Deep Learning Models. ICSME 2022: 13-23 - [c43]Kim Long Ngo, Joydeep Mukherjee, Zhen Ming Jiang, Marin Litoiu:
Evaluating the Scalability and Elasticity of Function as a Service Platform. ICPE 2022: 117-124 - [i11]Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin, Boyuan Chen, Zhen Ming Jiang:
Towards a consistent interpretation of AIOps models. CoRR abs/2202.02298 (2022) - [i10]Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang:
Towards Training Reproducible Deep Learning Models. CoRR abs/2202.02326 (2022) - [i9]Jiawen Xiong, Yong Shi, Boyuan Chen, Filipe Roseiro Côgo, Zhen Ming Jiang:
Towards Build Verifiability for Java-based Systems. CoRR abs/2202.05906 (2022) - [i8]Kim Long Ngo, Joydeep Mukherjee, Zhen Ming Jiang, Marin Litoiu:
Has Your FaaS Application Been Decommissioned Yet? - A Case Study on the Idle Timeout in Function as a Service Infrastructure. CoRR abs/2203.10227 (2022) - [i7]Aaditya Bhatia, Ellis E. Eghan, Manel Grichi, William G. Cavanagh, Zhen Ming Jiang, Bram Adams:
Towards a Change Taxonomy for Machine Learning Systems. CoRR abs/2203.11365 (2022) - [i6]Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming Jiang:
Bugs in Machine Learning-based Systems: A Faultload Benchmark. CoRR abs/2206.12311 (2022) - [i5]Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jiang:
An Empirical Study of Challenges in Converting Deep Learning Models. CoRR abs/2206.14322 (2022) - [i4]Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming Jiang:
GitHub Copilot AI pair programmer: Asset or Liability? CoRR abs/2206.15331 (2022) - 2021
- [j18]Minke Xiu, Zhen Ming Jack Jiang, Bram Adams:
An Exploratory Study of Machine Learning Model Stores. IEEE Softw. 38(1): 114-122 (2021) - [j17]Abdullah A. Zarir, Gustavo Ansaldi Oliva, Zhen Ming (Jack) Jiang, Ahmed E. Hassan:
Developing Cost-Effective Blockchain-Powered Applications: A Case Study of the Gas Usage of Smart Contract Transactions in the Ethereum Blockchain Platform. ACM Trans. Softw. Eng. Methodol. 30(3): 28:1-28:38 (2021) - [j16]Yingzhe Lyu, Heng Li, Mohammed Sayagh, Zhen Ming (Jack) Jiang, Ahmed E. Hassan:
An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions. ACM Trans. Softw. Eng. Methodol. 30(4): 54:1-54:38 (2021) - [e4]Johann Bourcier, Zhen Ming (Jack) Jiang, Cor-Paul Bezemer, Vittorio Cortellessa, Daniele Di Pompeo, Ana Lucia Varbanescu:
ICPE '21: ACM/SPEC International Conference on Performance Engineering, Virtual Event, France, April 19-21, 2021. ACM 2021, ISBN 978-1-4503-8194-9 [contents] - [e3]Johann Bourcier, Zhen Ming (Jack) Jiang, Cor-Paul Bezemer, Vittorio Cortellessa, Daniele Di Pompeo, Ana Lucia Varbanescu:
ICPE '21: ACM/SPEC International Conference on Performance Engineering, Virtual Event, France, April 19-21, 2021, Companion Volume. ACM 2021, ISBN 978-1-4503-8331-8 [contents] - [i3]Gopi Krishnan Rajbahadur, Erika Tuck, Li Zi, Zhang Wei, Dayi Lin, Boyuan Chen, Zhen Ming Jiang, Daniel Morales German:
Can I use this publicly available dataset to build commercial AI software? Most likely not. CoRR abs/2111.02374 (2021) - 2020
- [j15]Gustavo Ansaldi Oliva, Ahmed E. Hassan, Zhen Ming (Jack) Jiang:
An exploratory study of smart contracts in the Ethereum blockchain platform. Empir. Softw. Eng. 25(3): 1864-1904 (2020) - [j14]Masanari Kondo, Gustavo Ansaldi Oliva, Zhen Ming (Jack) Jiang, Ahmed E. Hassan, Osamu Mizuno:
Code cloning in smart contracts: a case study on verified contracts from the Ethereum blockchain platform. Empir. Softw. Eng. 25(6): 4617-4675 (2020) - [j13]Yangguang Li, Zhen Ming (Jack) Jiang, Heng Li, Ahmed E. Hassan, Cheng He, Ruirui Huang, Zhengda Zeng, Mian Wang, Pinan Chen:
Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution. ACM Trans. Softw. Eng. Methodol. 29(2): 13:1-13:24 (2020) - [c42]Boyuan Chen, Zhen Ming (Jack) Jiang:
Studying the use of Java logging utilities in the wild. ICSE 2020: 397-408 - [i2]Minke Xiu, Ellis E. Eghan, Zhen Ming Jiang, Bram Adams:
An Empirical Study on Release Engineering Practices in Open Source ML Package Repositories. CoRR abs/2012.01403 (2020)
2010 – 2019
- 2019
- [j12]Boyuan Chen, Zhen Ming (Jack) Jiang:
Extracting and studying the Logging-Code-Issue- Introducing changes in Java-based large-scale open source software systems. Empir. Softw. Eng. 24(4): 2285-2322 (2019) - [j11]Yangguang Li, Zhen Ming (Jack) Jiang:
Assessing and optimizing the performance impact of the just-in-time configuration parameters - a case study on PyPy. Empir. Softw. Eng. 24(4): 2323-2363 (2019) - [j10]Catia Trubiani, Pooyan Jamshidi, Jürgen Cito, Weiyi Shang, Zhen Ming Jiang, Markus Borg:
Performance Issues? Hey DevOps, Mind the Uncertainty. IEEE Softw. 36(2): 110-117 (2019) - [c41]Boyuan Chen, Zhen Ming Jiang, Paul Matos, Michael Lacaria:
An Industrial Experience Report on Performance-Aware Refactoring on a Database-Centric Web Application. ASE 2019: 653-664 - [i1]Minke Xiu, Zhen Ming Jack Jiang, Bram Adams:
An Exploratory Study on Machine Learning Model Stores. CoRR abs/1905.10677 (2019) - 2018
- [j9]Shaiful Alam Chowdhury, Silvia Di Nardo, Abram Hindle, Zhen Ming (Jack) Jiang:
An exploratory study on assessing the energy impact of logging on Android applications. Empir. Softw. Eng. 23(3): 1422-1456 (2018) - [c40]Boyuan Chen, Jian Song, Peng Xu, Xing Hu, Zhen Ming (Jack) Jiang:
An automated approach to estimating code coverage measures via execution logs. ASE 2018: 305-316 - 2017
- [j8]Mark D. Syer, Weiyi Shang, Zhen Ming Jiang, Ahmed E. Hassan:
Continuous validation of performance test workloads. Autom. Softw. Eng. 24(1): 189-231 (2017) - [j7]Boyuan Chen, Zhen Ming (Jack) Jiang:
Characterizing logging practices in Java-based open source software projects - a replication study in Apache Software Foundation. Empir. Softw. Eng. 22(1): 330-374 (2017) - [c39]Boyuan Chen, Zhen Ming (Jack) Jiang:
Characterizing and detecting anti-patterns in the logging code. ICSE 2017: 71-81 - [c38]Tse-Hsun Chen, Mark D. Syer, Weiyi Shang, Zhen Ming Jiang, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora:
Analytics-Driven Load Testing: An Industrial Experience Report on Load Testing of Large-Scale Systems. ICSE-SEIP 2017: 243-252 - [c37]Ruoyu Gao, Zhen Ming (Jack) Jiang:
An exploratory study on assessing the impact of environment variations on the results of load tests. MSR 2017: 379-390 - 2016
- [j6]Shadi Ghaith, Miao Wang, Philip Perry, Zhen Ming Jiang, Patrick O'Sullivan, John Murphy:
Anomaly detection in performance regression testing by transaction profile estimation. Softw. Test. Verification Reliab. 26(1): 4-39 (2016) - [j5]Tse-Hsun Chen, Weiyi Shang, Zhen Ming Jiang, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora:
Finding and Evaluating the Performance Impact of Redundant Data Access for Applications that are Developed Using Object-Relational Mapping Frameworks. IEEE Trans. Software Eng. 42(12): 1148-1161 (2016) - [c36]Ruoyu Gao, Zhen Ming Jiang, Cornel Barna, Marin Litoiu:
A Framework to Evaluate the Effectiveness of Different Load Testing Analysis Techniques. ICST 2016: 22-32 - 2015
- [j4]Zhen Ming Jiang, Ahmed E. Hassan:
A Survey on Load Testing of Large-Scale Software Systems. IEEE Trans. Software Eng. 41(11): 1091-1118 (2015) - [c35]King Chun Foo, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan, Ying Zou, Parminder Flora:
An Industrial Case Study on the Automated Detection of Performance Regressions in Heterogeneous Environments. ICSE (2) 2015: 159-168 - [c34]Zhen Ming (Jack) Jiang:
Load Testing Large-Scale Software Systems. ICSE (2) 2015: 955-956 - [c33]Zhen Ming Jiang, Andreas Brunnert:
LT 2015: The Fourth International Workshop on Large-Scale Testing. ICPE 2015: 345-346 - [e2]Andreas Brunnert, Zhen Ming Jiang:
Proceedings of the 4th International Workshop on Large-Scale Testing, LT'15, Austin, TX, USA, February 1, 2015. ACM 2015, ISBN 978-1-4503-3337-5 [contents] - 2014
- [j3]Weiyi Shang, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan, Michael W. Godfrey, Mohamed N. Nasser, Parminder Flora:
An exploratory study of the evolution of communicated information about the execution of large software systems. J. Softw. Evol. Process. 26(1): 3-26 (2014) - [c32]Tse-Hsun Chen, Weiyi Shang, Zhen Ming Jiang, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora:
Detecting performance anti-patterns for applications developed using object-relational mapping. ICSE 2014: 1001-1012 - [c31]Weiyi Shang, Meiyappan Nagappan, Ahmed E. Hassan, Zhen Ming Jiang:
Understanding Log Lines Using Development Knowledge. ICSME 2014: 21-30 - [c30]Mark D. Syer, Zhen Ming Jiang, Meiyappan Nagappan, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora:
Continuous validation of load test suites. ICPE 2014: 259-270 - [e1]Marin Litoiu, Thomas Cerqueus, Zhen Ming Jiang, Eduardo Cunha de Almeida:
LT'14, Proceedings of the 2014 ACM International Workshop on Large Scale Testing, Dublin, Ireland, March 22-26, 2014. ACM 2014, ISBN 978-1-4503-2762-6 [contents] - 2013
- [b1]Zhen Ming (Jack) Jiang:
Automated Analysis of Load Testing Results. Queen's University at Kingston, Ontario, Canada, 2013 - [c29]Zhen Ming Jiang, Marin Litoiu, Ahmed E. Hassan, Paul Vytas:
2nd International Workshop on Load Testing of Large Software Systems (LT 2013). CASCON 2013: 353-354 - [c28]Weiyi Shang, Zhen Ming Jiang, Hadi Hemmati, Bram Adams, Ahmed E. Hassan, Patrick Martin:
Assisting developers of big data analytics applications when deploying on hadoop clouds. ICSE 2013: 402-411 - [c27]Mark D. Syer, Zhen Ming Jiang, Meiyappan Nagappan, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora:
Leveraging Performance Counters and Execution Logs to Diagnose Memory-Related Performance Issues. ICSM 2013: 110-119 - 2012
- [c26]Emad Shihab, Ahmed E. Hassan, Bram Adams, Zhen Ming Jiang:
An industrial study on the risk of software changes. SIGSOFT FSE 2012: 62 - [c25]Thanh H. D. Nguyen, Bram Adams, Zhen Ming Jiang, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora:
Automated detection of performance regressions using statistical process control techniques. ICPE 2012: 299-310 - 2011
- [j2]Emad Shihab, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan, Robert Bowerman:
Prioritizing the creation of unit tests in legacy software systems. Softw. Pract. Exp. 41(10): 1027-1048 (2011) - [c24]Thanh H. D. Nguyen, Bram Adams, Zhen Ming Jiang, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora:
Automated Verification of Load Tests Using Control Charts. APSEC 2011: 282-289 - [c23]King Chun Foo, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan, Ying Zou, Kim Martin, Parminder Flora:
Modeling the performance of Ultra-Large-Scale systems using layered simulations. MESOCA 2011: 1-10 - [c22]Weiyi Shang, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan, Michael W. Godfrey, Mohamed N. Nasser, Parminder Flora:
An Exploratory Study of the Evolution of Communicated Information about the Execution of Large Software Systems. WCRE 2011: 335-344 - 2010
- [c21]Haroon Malik, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan, Parminder Flora, Gilbert Hamann:
Automatic Comparison of Load Tests to Support the Performance Analysis of Large Enterprise Systems. CSMR 2010: 222-231 - [c20]Emad Shihab, Zhen Ming Jiang, Walid M. Ibrahim, Bram Adams, Ahmed E. Hassan:
Understanding the impact of code and process metrics on post-release defects: a case study on the Eclipse project. ESEM 2010 - [c19]Bram Adams, Zhen Ming Jiang, Ahmed E. Hassan:
Identifying crosscutting concerns using historical code changes. ICSE (1) 2010: 305-314 - [c18]Zhen Ming Jiang:
Automated analysis of load testing results. ISSTA 2010: 143-146 - [c17]Abram Hindle, Israel Herraiz, Emad Shihab, Zhen Ming Jiang:
Mining Challenge 2010: FreeBSD, GNOME Desktop and Debian/Ubuntu. MSR 2010: 82-85 - [c16]King Chun Foo, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan, Ying Zou, Parminder Flora:
Mining Performance Regression Testing Repositories for Automated Performance Analysis. QSIC 2010: 32-41 - [c15]Emad Shihab, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan, Robert Bowerman:
Prioritizing Unit Test Creation for Test-Driven Maintenance of Legacy Systems. QSIC 2010: 132-141 - [c14]Zhen Ming Jiang, Alberto Avritzer, Emad Shihab, Ahmed E. Hassan, Parminder Flora:
An Industrial Case Study on Speeding Up User Acceptance Testing by Mining Execution Logs. SSIRI 2010: 131-140
2000 – 2009
- 2009
- [c13]Zhen Ming Jiang, Ahmed E. Hassan, Gilbert Hamann, Parminder Flora:
Automated performance analysis of load tests. ICSM 2009: 125-134 - [c12]Emad Shihab, Zhen Ming Jiang, Ahmed E. Hassan:
Studying the use of developer IRC meetings in open source projects. ICSM 2009: 147-156 - [c11]Weiyi Shang, Zhen Ming Jiang, Bram Adams, Ahmed E. Hassan:
MapReduce as a general framework to support research in Mining Software Repositories (MSR). MSR 2009: 21-30 - [c10]Emad Shihab, Zhen Ming Jiang, Ahmed E. Hassan:
On the use of Internet Relay Chat (IRC) meetings by developers of the GNOME GTK+ project. MSR 2009: 107-110 - 2008
- [j1]Zhen Ming Jiang, Ahmed E. Hassan, Gilbert Hamann, Parminder Flora:
An automated approach for abstracting execution logs to execution events. J. Softw. Maintenance Res. Pract. 20(4): 249-267 (2008) - [c9]Dharmesh Thakkar, Zhen Ming Jiang, Ahmed E. Hassan, Gilbert Hamann, Parminder Flora:
Retrieving relevant reports from a customer engagement repository. ICSM 2008: 117-126 - [c8]Haroon Malik, Istehad Chowdhury, Hsiao-Ming Tsou, Zhen Ming Jiang, Ahmed E. Hassan:
Understanding the rationale for updating a function's comment. ICSM 2008: 167-176 - [c7]Zhen Ming Jiang, Ahmed E. Hassan, Gilbert Hamann, Parminder Flora:
Automatic identification of load testing problems. ICSM 2008: 307-316 - [c6]Zhen Ming Jiang, Ahmed E. Hassan, Parminder Flora, Gilbert Hamann:
Abstracting Execution Logs to Execution Events for Enterprise Applications (Short Paper). QSIC 2008: 181-186 - 2007
- [c5]Zhen Ming Jiang, Ahmed E. Hassan:
A Framework for Studying Clones In Large Software Systems. SCAM 2007: 203-212 - [c4]Abram Hindle, Zhen Ming Jiang, Walid Koleilat, Michael W. Godfrey, Richard C. Holt:
YARN: Animating Software Evolution. VISSOFT 2007: 129-136 - 2006
- [c3]Zhen Ming Jiang, Ahmed E. Hassan, Richard C. Holt:
Visualizing Clone Cohesion and Coupling. APSEC 2006: 467-476 - [c2]Zhen Ming Jiang, Ahmed E. Hassan:
Examining the evolution of code comments in PostgreSQL. MSR 2006: 179-180 - 2005
- [c1]Ahmed E. Hassan, Zhen Ming Jiang, Richard C. Holt:
Source versus Object Code Extraction for Recovering Software Architecture. WCRE 2005: 67-76
Coauthor Index
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