Subject Infrastructure Repository

SIR Usage Information

Institutions Using SIR

• University of Aarhus
• ABB Corporate Research
• Accenture
• Agitar Software
• Ajou University
• University of Alexandria, Egypt
• Allegheny College
• American University of Beirut
• Amirkabir University of Technology, Tehran
• Anna University, Chennai
• University of Antwerp
• University of Arizona
• Arizona State University
• Athens University of Economics and Business
• AT&T Labs
• University of Auckland
• Aichi Prefecture University
• University of Birmingham
• BeiHang University - Beijing University of Aeronautics and Astronautics
• Beijing University of Chemical Technology
• Blekinge Institute of Technology
• Brigham Young University
• Brunel University
• BSA Crescent Engineering College, Chennai India
• University of Bremen, Germany
• Universidad de Castilla-La Mancha
• University of California - Berkeley
• University of California - Davis
• University of California - Riverside
• University of California - San Diego
• Carleton University
• Caritas
• Carnegie Mellon University
• Case Western Reserve University
• University of Catania, Italy
• Universitat Politècnica de Catalunya - Italy
• Central China Normal University
• Central South University
• Chalmers University of Technology - Sweden
• Commissariat à l'Énergie Atomique
• Centro de Informática, Federal University of Pernambuco
• Universidade Estadual de Feira de Santana, Brazil
• Universidade Federal de Paraná - Brazil
• City University of Hong Kong
• Clemson University
• University of Calgary
• University of Colorado
• University of Comahue - Argentina
• University of Concepción
• CIIT COMSATS Institute of Information Technology - Pakistan
• Consiglio Nazionale delle Ricerche
• Alexander John Cuza University - Romania
• Cranfield University - UK
• University of Cyprus
• Darmstadt University of Technology
• Darmstadt University of Technology
• University of Delaware
• Delft University of Technology
• Design Data Corporation
• Diquest
• DoCoMo USA Labs
• University Duisburg Essen
• Durham University
• Dr. Mahalingam College of Engineering and Technology, Pollachi
• East China Normal University
• Ecole Polytechnique de Montreal
• Edith Cowan University
• EDS
• Electronics and Telecommunications Research Institute (ETRI)
• Ewha Womans University
• FernUniversität in Hagen
• University of Freiburg
• Florida A & M University
• Florida International University
• University of Central Florida
• Galaxy Plus
• University of Genova
• GuangXi University - China
• George Mason University
• Georgia Institute of Technology
• GMF - UFCG Universidade Federal de Campina Grande
• Government College of Technology, Coimbatore, India
• Technical University Hamburg-Harburg
• Harbin Institute of Technology - China
• University of Hertfordshire
• HUI University VietNam
• Huazhong University of Science and Technology, China
• Software Competence Center Hagenberg - Austria
• University of Hong Kong
• Chinese University of Hong Kong
• The Hong Kong University of Science and Technology
• University of Hull
• IBM T.J. Watson Labs
• IBM India Research Labs
• Fondazione Bruno Kessler Il Centro per la Ricerca Scientifica e Tecnologica (ITC-irst), Italy
• Imperial College London
• Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA)
• Institut de Recherche en Informatique et en Automatique (INRIA)
• Institute of Software, Chinese Academy of Sciences
• Instituto Politécnico de Leiria - Portugal
• Instituto Tecnológico de Informática - Valencia, Spain
• University of Illinois at Urbana-Champaign
• Illinois Institute of Technology
• Indian Institute of Technology - Delhi, India
• Indian Institute of Science - Bangalore, India
• Information and Communications University - Korea
• International Christian University - Japan
• Iowa State University
• Iran University of Science & Technology
• NASA Jet Propulsion Laboratory
• Jiangnan University
• Kansas State University
• University of Kentucky
• Kings College London
• University of Konstanz
• Korea Advanced Institute of Science and Technology
• Kuwait University
• Lucent Technologies, IIT
• Loyola College - Maryland
• University of Maryland - College Park
• University of Maryland - Baltimore County
• Mälardalen University
• Massachusetts Institute of Technology
• Methodist University of Piracicaba - Brazil
• Michigan State University
• Middle Tennessee State University
• University of Mannheim
• Microsoft Research
• University of Milano-Bicocca
• Monash University - Clayton School IT, Australia
• Moscow Institute of Physics and Technology
• Lomonosov Moscow State University - Russia
• University of Magdeburg - Germany
• Maynooth University
• MphasiS - Bangalore, India
• Technische Universität München
• Nagoya University - Japan
• National Institute of Standards and Technology
• National Sun Yat-sen University, Taiwan
• National Tsing-Hua University
• National University of Singapore
• National Chiao Tung University - Taiwan
• National Research Council Canada
• National Institute of Technical Teachers' Training and Research - India
• Naval Postgraduate School
• Nanjing University - China
• Nanyang Technical University - Singapore
• North Carolina State University
• North Dakota State University
• Novartis Pharmaceutical
• University of Nebraska - Lincoln
• University of New South Wales
• NEC
• University of New Orleans
• New York University
• Ohio State University
• University of Oldenburg, OFFIS
• University of Oregon
• Oracle
• Peking University, Beijing
• University of Pitesti - Romania
• Universidad Politécnica de Madrid
• Purdue University
• Universiti Putra Malaysia
• Perot Systems at NASA Ames Research Center
• PayPal
• Pacific Union College
• Pydah College of Engineering - India
• Politecnico di Milano
• Politecnico di Torino
• Queens University - Canada
• Université du Québec en Outaouis
• Università Degli Studi Del Sannio - Research Centre on Software Technology (RCOST)
• Research Institute for Advanced Computer Science (RIACS), NASA Ames Research Center
• Rutgers University
• Saarland University
• Sabanca University - Turkey
• Seattle University
• Seoul National University
• Universidad de Sevilla - Spain
• University of Sheffield
• Stanford University
• State University of New York - Stony Brook
• University of Stellenbosch - South Africa
• Swinburne University of Technology
• University of Western Sydney
• University of Sao Paulo
• Silicon Valley Systech, Inc.
• Sogang University
• Sona College of Technology
• Southeastern University
• Shizuoka University
• Shanghai Jiao Tong University
• Sri Ramakrishna Engineering College
• Swedish Institute of Computer Science
• University of Szeged - Hungary
• University of the Sciences in Philadelphia
• Universidad Nacional Mayor de San Marcos - Peru
• University of Texas - Dallas
• Thiagarajar College of Engineering (IRTT)
• Tokyo University
• University of Toledo
• Tongji University Shanghai - China
• Tufts University
• TU Graz (Graz University of Technology)
• Univaq
• University of Virginia
• Virginia Tech University
• VTT Technical Research Centre of Finland
• University of Western Ontario
• Université du Quebéc en Outaouais, Canada
• University of Electronic Science and Technology of China
• University of Freiburg, Germany
• University of Washington
• West Virginia University
• University of Wisconsin - Madison
• University of Wollongong
• University of Wyoming
• Wayne State University
• University of Waterloo
• University of Lugano
• Xian Jiaotong University, China
• Software Engineering Institute Xidian University - China
• Xiamen University, China
• University of York - UK
• Zhejiang University - China
• Zhongshan University - China

Citing Publications

In the following list, we attempt to report publications that cite the repository. However, we cannot guarantee that this list is exhaustive.

We also intend eventually to report papers which, prior to the existence of the repository, made use of the objects contained therein. For the moment, however, only those papers we know of dating back to 2001 are listed.

We appreciate any notifications regarding publications absent from this list that you believe should be included.

• Publications citing SIR
• • Is Mutation an Appropriate Tool for Testing Experiments? Andrews, J.H., Briand, Lionel C., and Labiche, Y., Proceedings of the 27th International Conference on Software Engineering (ICSE'05), pp. 401-411, ACM 2005
  • Using Machine Learning to Support Debugging with Tarantula. Briand, Lionel C., Labiche, Yvan, and Xuetao Liu, The 18th IEEE International Symposium on Software Reliability 2007 (ISSRE'07), November 5-9, 2007, pp. 137-146, IEEE Washington, DC 2007, ISBN 978-0-7695-3024-6
  • Relevant Empirical Testing Research: Challenges and Responses. Andrews, J.H., ACM SIGSOFT Software Engineering Notes, Volume 29, Issue 5, September 2004, pp. 1-4, ISSN 0163-5948
  • Trace Anomalies as Precursors of Field Failures: an Empirical Study. Andrews, Anneliese, Elbaum, Sebastian, and Kanduri, Satya, Empirical Software Engineering, Volume 12, Number 5/October 2007, Springer Netherlands, pp. 447-469, ISSN 1382-3256
  • Using the Case-Based Ranking Methodology for Test Case Prioritization. Avesani, Paolo, Susi, Angelo, and Tonella, Paolo, 22nd IEEEE International Conference on Software Maintenance, 2006 (ICSM'06), September 2006, pp. 123-133, ISBN 0-7695-2354-4
  • The Probabilistic Program Dependence Graph and its Application to Fault Diagnosis. Baah, George K., Podgurski, Andy, and Harrold, Mary Jean, ISSTA'08: Proceedings of the 2008 International Symposium on Software Testing and Analysis 2008, pp. 189-199
  • Software Testing Research: Achievements, Challenges, Dreams. Bertolino, Antonia, IEEE Future of Software Engineering, (FOSE'07), pp. 85-103, 2007
  • Automated Fault Localization for C Programs. Bloem, Roderick, Griesmayer, Andreas, and Staber, Stefan, Electronic Notes in Theoretical Computer Science − Proceedings of the Workshop on Verification and Debugging (V&D 2006), Volume 174, Issue 4, May 30, 2007, pp. 95-111, Elsevier
  • Thin Slicing. Bodik, Rastislav, Fink, Stephen J., and Sridharan, Manu, Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation, San Diego, California 2007, pp. 112-122, ISBN 978-1-59593-633-2.
  • Improving the Classification of Software Behaviors using Ensembles of Control-Flow and Data-Flow. Bowring, James F., Harrold, Mary Jean, and Rehg, James M., Technical Report, College of Computing, Georgia Institute of Technology, 2005, available from http://www.cc.gatech.edu/cercs/tech-reports/tr2005/git-cercs-05-10.pdf
  • Modeling and Predicting Software Behaviors. Bowring, James F., Doctoral Thesis, Georgia Institute of Technology 2006, etd-08072006-100803, available from http://etd.gatech.edu/theses/available/etd-08072006-100803/unrestricted/bowring_james_f_200612_phd.pdf
  • Formal Concept Analysis Applied to Fault Localization. Cellier, Peggy, Proceedings − International Conference on Software Engineering Companion of the 30th international conference on Software engineering, ACM Leipzig, Germany, 2008, pp. 991-994, ISBN 978-1-60558-079-1
  • Statistical Debugging: A Hypothesis Testing-Based Approach. Chao Liu, Long Fei, Xifeng Yan, Jiawei Han, and Midkiff, Samuel P., IEEE Transactions on Software Engineering, Volume 32, Issue 10, Oct. 2006 pp. 831-848
  • Statistical Debugging using Compound Boolean Predicates. Ting Chen, Liblit, Ben, Nainar, Piramanayagam Arumuga, and Rosin, Jake, ACM ISSTA '07: Proceedings of the 2007 international symposium on Software testing and analysis, London, UK 2007, pp. 5-15, ISBN 978-1-59593-734-6.
  • Statistical Debugging Using Latent Topic Models. Andrzejewski, David, Mulhern, Anne, Liblit, Ben, and Xiaojin Zhu, Machine Learning: ECML 2007, Volume 4701/2007, pp. 6-17, Springer Berlin/Heidelberg 2007, ISBN 978-3-540-74957-8
  • WHATSAT: Dynamic heap type inference for program understanding and debugging. Polishchuk, Marina, Liblit, Ben, Schulze, Chloë W., Technical Report #1583, Computer Sciences Department, University of Wisconsin, December 2006, available from: http://128.105.7.31/techreports/2006/TR1583.pdf
  • Does Adaptive Random Testing Deliver a Higher Confidence than Random Testing? Tsong Yueh Chen, Fei-Ching Kuo, Huai Liu, and Wong, W. E., QSIC'08 The 8th International Conference on Quality Software 2008, art. no. 4601538, 2008, pp. 145-154, ISBN 978-0-7695-3312-4
  • Carving Differential Unit Test Cases from System Test Cases. Hui Nee Chin, Dokulil, Jonathan, Dwyer, Matthew B., and Elbaum, Sebastian, Proceedings of the 14th ACM SIGSOFT International Symposium on Foundations of Software Engineering, Portland, Oregon 2006, pp. 253-264, ISBN 1-59593-468-5.
  • The Implementation of an Extensible System for Comparison and Visualization of Class Ordering Methodologies. Clarke, Peter J., Kraft, Nicholas A., Lloyd, Errol L., and Malloy, Brian A., The Journal of Systems & Software, Volume 79, Issue 8, August 2006, pp. 1092-1109, Elsevier
  • DSD-Crasher: A Hybrid Analysis Tool for Bug Finding. Csallner, Christopher, Smaragdakis, Yannis, and Tao Xie, ACM Transactions in Software Engineering and Methodology (TOSEM), Volume 17, Issue 2, April 2008, Article No. 8, pp. 8:1-8:37, ACM, ISSN 1049-331X
  • Combining Over− and Under−Approximating Program Analyses for Automatic Software Testing. Csallner, Christopher, Doctoral Dissertation, School of Computer Science, Georgia Institute of Technology, August 2008, available from http://smartech.gatech.edu/dspace/bitstream/1853/24764/1/csallner_christoph_200808_phd.pdf
  • Evaluating a Lightweight Defect Localization Tool. Dallmeier, Valentin, Lindig, Christian, and Zeller Andreas, 2005 Bug Workshop, Department of Computer Science, University of Maryland, available from https://www.cs.umd.edu/~pugh/BugWorkshop05/papers/22-dallmeier.pdf
  • Lightweight Defect Localization for Java. Dallmeier, Valentin, Lindig, Christian, and Zeller, Andreas, ECOOP 2005 − Object Oriented Programming, Volume 3586/2005 , Springer Berlin 2005, pp. 528-550, ISBN 978-3-540-27992-1
  • Detecting Failure-Related Anomalies in Method Call Sequences. Dallmeier, Valentin, Diploma Thesis, Department of Computer Science, Saarland University, Germany, March 2005, available from http://www.st.cs.uni-sb.de/~dallmeier/pub/thesis/thesis_dallmeier.pdf
  • Automatic Extraction of Bug Localization Benchmarks from History. Dallmeier, Valentin, and Zimmerman, Thomas, Technical Report, Saarland University, Saarbrücken, Germany, June 2007, available from http://www.st.cs.uni-sb.de/publications/files/dallmeier-tr-2007.pdf
  • An Empirical Evaluation of Data Flow Testing of Java Classes. Denaro, Giovanni, Gorla, Alessandra, and Pezzé, Mauro, Technical Report No. 2007/03, January 2007, University of Milan−Bicocca − Department of Information Systems and Communications, available from http://doc.rero.ch/lm.php?url=1000,42,6,20080407123147-ZI/ITR0703.pdf
  • Contextual Integration Testing of Classes. Denaro, Giovanni, Gorla, Alessandra, and Pezzé, Mauro, Fundamental Approaches to Software Engineering, Volume 4961/2008, pp. 246-260, ISBN 978-3-540-78742-6
  • Accounting for Context and Lifetime Factors: A New Approach for Evaluating Regression Testing Techniques. Do, Hyunsook, Doctoral Thesis, Department of Computer Science and Engineering, University of Nebraska at Lincoln, 2007, available from http://digitalcommons.unl.edu/dissertations/AAI3250075
  • A Controlled Experiment Assessing Test Case Prioritization Techniques via Mutation Faults. Do, Hyunsook, and Rothermel, Gregg, Proceedings of the 21st IEEE International Conference on Software Maintenance (ICSM'05) pp. 411-420.
  • Prioritizing JUnit Test Cases: An Empirical Assessment and Cost-Benefits Analysis. Do, Hyunsook, Rothermel, Gregg, and Kinneer, Alex, Empirical Software Engineering, Volume 11, Number 1 March 2006. Springer Netherlands pp. 33-70 ISSN 1382-3256.
  • An Empirical Study of Regression Testing Techniques Incorporating Context and Lifetime Factors and Improved Cost-Benefit Models. Do, Hyunsook, and Rothermel, Gregg, Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering, Portland, Oregon 2006, pp. 141-151, ACM New York, NY 2006, ISBN 1-59593-468-5
  • Using Sensitivity Analysis to Create Simplified Economic Models for Regression Testing. Do, Hyunsook, and Rothermel, Gregg, ISSTA'08: Proceedings of the 2008 International Symposium on Software Testing and Analysis 2008, pp. 51-61
  • Empirical Studies in Reverse Engineering: State of the Art and Future Trends. Du Bois, Bart, Tonella, Paolo, Torchiano, Marco, and Systä, Tarja, Empirical Software Engineering, Volume 12, Number 5, October 2007, Springer Netherlands, ISSN 1382-3256
  • Adaptive Online Program Analysis: Concepts, Infrastructure, and Applications. Dwyer Matthew B., Elbaum, Sebastian and Kinneer, Alex, 29th International Conference on Software Engineering (ICSE'07), pp. 220-229.
  • Differential Symbolic Execution. Dwyer, Matthew B., Elbaum, Sebastian, Pâsâreanu, Corina S., and Person, Suzette, ACM SIGSOFT'08/FSE-16: Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering, Atlanta, Georgia, November 2008, pp. 226-237, ISBN 978-1-59593-995-1.
  • Evaluating the Effectiveness of Slicing for Model Reduction of Concurrent Object-Oriented Programs. Dwyer Matthew B., Hatcliff, John, Hoosier, Matthew, Ranganath, Venkatesh, Wallentine, Robby, and Wallentine, Todd, Tools and Algorithms for the Construction and Analysis of Systems, Springer Berlin 2006, pp. 73-89, ISBN 978-3-540-33056-1.
  • Formal Software Analysis Emerging Trends in Software Model Checking. Dwyer, Matthew B., Hatcliff, John, Robby, Robby, Pâsâreanu, Corina S., and Visser, Willem, IEEE International Conference on Software Engineering, 2007, pp. 120-136, ISBN 0-7695-2829-5.
  • AFID: An Automated Fault Identification Tool. Edwards, Alex, Tucker, Sean, Worms, Sébastien, Vaidya, Rahul, and Demsky, Brian, ISSTA'08: Proceedings of the 2008 International Symposium on Software Testing and Analysis 2008, pp. 179-188
  • Empirical Evaluations of Regression Test Selection Techniques: a Systematic Review. Engström, Emelie, Runeson, Per, and Skoglund, Mats, ACM ESEM '08: Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement, Kaiserslautern, Germany, October 2008, pp. 22-31, ISBN 978-1-59593-971-5.
  • Differential Testing: A New Approach to Change Detection. Evans, Robert B., and Savoia, Alberto, Proceedings of the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on the foundations of software engineering, Dubrovnik, Croatia 2007, pp. 549-552, ACM New York, NY 2007, ISBN 978-1-59593-811-4
  • Decreasing the Cost of Mutation Testing with Second-Order Mutants. Garcia-Rodriguez, Ignacio, Piattini, Mario, and Polo, Macario, Software Testing, Verification and Reliability, John Wiley & Sons Ltd., June 3, 2008, http://dx.doi.org/10.1002/stvr.392
  • An Approach for Experimentally Evaluating Effectiveness and Efficiency of Coverage Criteria for Software Testing. Gupta, Atul, and Jalote, Pankaj, International Journal on Software Tools for Technology Transfer (STTT),Volume 10, Number 2/March 2008, pp. 145-160, Springer Berlin/Heidelberg 2008, ISSN 1433-2779
  • A Multipurpose Code Coverage Tool for Java. Lingampally, Raghu, Gupta, Atul, and Jalote, Pankaj, Proceedings of the 40th Annual Hawaii International Conference on System Sciences, (HICSS'07) 2007, pp. 261b, ISBN 0-7695-2755-8
  • A Theoretical & Empirical Analysis of Evolutionary Testing and Hill Climbing for Structural Test Data Generation. Harman, Mark, and McMinn, Phil, Proceedings of the 2007 international symposium on Software testing and analysis, London, UK, 2007, pp. 73-83, ISBN 978-1-59593-734-6.
  • Search Algorithms for Regression Test Case Prioritization. Zheng Li, Harman, Mark, and Hierons, Robert M., IEEE Transactions on Software Engineering, Volume 33, no. 4, pp. 225-237, April 2007, ISSN 0098-5589
  • A Multi-Objective Approach to Search-Based Test Data Generation. Harman, Mark, Lakhotia, Kiran, and McMinn, Phil, ACM GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, London, UK July 2007, pp. 1098-1105, ISBN 978-1-59593-697-4.
  • Pareto Efficient Multi-Objective Test Case Selection. Shin Yoo, and Harman, Mark, Proceedings of the 2007 international symposium on Software testing and analysis, London, UK, pp. 140-150, ACM New York, NY 2007, ISBN 978-1-59593-734-6
  • Usage Patterns of the Java Standard API. Homan Ma, Robert Amor, and Ewan Tempero, 13th Asia Pacific Software Engineering Conference (APSEC'06), 2006, pp.342-352, IEEE Washington, DC 2006
  • Predicting Fault Locations from Failures using a Machine Learning Classifier. Huelette, Geoffrey C., Masters Thesis − University of California − San Diego, 2007, available from http://ix.cs.uoregon.edu/~ghulette/documents/geoff_hulette_thesis.pdf
  • Fault Localization with Non-Parametric Program Behavior Model. Peifeng Hu, Chan, W.K., Zhenyu Zhang, and Tse, T.H., Proceedings − International Conference on Quality Software, art. no. 4601568, 2008, pp. 385-395, ISBN 978-0-7695-3312-4
  • Constructing Subtle Faults using Higher Order Mutation Testing. Harman, Mark, and Yue Jia, Proceedings − 8th IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2008, art. no. 4637557, 2008, pp. 249-258
  • Increasing Test Granularity by Aggregating Unit Tests. Jorde, Matthew, Elbaum, Sebastian, and Dwyer, Matthew B., ASE 2008 − Proceedings of the 23rd IEEE/ACM International Conference on Automated Software Engineering, art. no. 4639304, pp. 9-18, September 15-19, 2008, ISBN 978-1-4244-2187-9
  • Predictive Testing: Amplifying the Effectiveness of Software Testing. Joshi, Pallavi, Sen, Koushik , and Shlimovich, Mark, ACM ESEC-FSE '07: Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering, Dubrovnik, Croatia, September 2007, pp. 561-564, ISBN 978-1-59593-811-4.
  • Software Reliability Experimentation and Control. Kai Yuan Cai, Journal of Computer Science and Technology, Sept. 2006, Vo1. 21, No. 5, Institute of Computing Technology − Chinese Academy of Sciences, pp. 697-707, ISSN 1000-9000
  • A Comprehensive Framework for Testing Database-Centric Software Applications. Kapfhammer, Gregory M., PhD Thesis Defense, April 19, 2007, Department of Computer Science, University of Pittsburg, PA, available from http://etd.library.pitt.edu/ETD/available/etd-03282007-170919/unrestricted/kapfhammer_dissertation_final_April_2007.pdf
  • Time-Aware Test Suite Prioritization. Walcott, Kristen R., Kapfhammer, Gregory M., Roos, Robert S., and Soffa, Mary Lou, Proceedings of the 2006 international symposium on Software testing and analysis, Portland, Oregon, pp. 1-12, ACM New York, NY 2006, ISBN 1-59593-263-1
  • Assessing the Cost-Benefits of Using Type Inference Algorithms to Improve the Representation of Exceptional Control Flow in Java. Kinneer, Alex, and Rothermel, Gregg, Department of Computer Science and Engineering, University of Nebraska at Lincoln, May 15, 2005, available from http://cse.unl.edu/~grother/papers/tr20050002.pdf
  • A Tool Chain for Reverse Engineering C++ Applications. Kraft, Nicholas A., Malloy, Brian A., and Power, James F., Science of Computer Programming, Volume 69, Isssues 1-3, December 1, 2007, Elsevier, pp. 3-13
  • Incremental State-Space Exploration for Programs with Dynamically Allocated Data. Lauterburg, Steven, Sobeih, Ahmed, Marinov, Darko, and Viswanathan, Mahesh, Proceedings − International Conference on Software Engineering, (ICSE'08), Leipzig, Germany, ACM New York, NY 2008, pp. 291-300, ISBN 978-1-60558-079-1
  • Failure Proximity: A Fault Localization-Based Approach. Chao Liu, and Jiawei Han, Proceedings of the 14th ACM SIGSOFT international Symposium on Foundations of software engineering, Portland, Oregon 2006, pp. 46-56, ACM New York, NY 2006, ISBN 1-59593-468-5.
  • Exploiting Design Patterns to Automate Validation of Class Invariants. Malloy, Brian A., and Power, James F., Software Testing, Verification and Reliability, Volume 16 Issue 2 (June 2006), pp. 71-95, Wiley & Sons Ltd. Chinchester, UK 2006, ISSN 0960-0833
  • Exploiting the Empirical Characteristics of Program Dependences for Improved Forward Computation of Dynamic Slices. Masri, Wassim, Empirical Software Engineering, Volume 13 Number 4, 2008, pp. 369-399, Springer Science
  • Measuring the Strength of Information Flows in Programs. Masri, Wassim, and Podgurski, Andy, ACM Transactions on Software Engineering and Methodology, 2008, available from http://www-lb.cs.aub.edu.lb/wm13/AUB-CMPS-07-08.pdf
  • An empirical study of the factors that reduce the effectiveness of coverage-based fault localization. Masri, Wes, Abou-Assi, Rawad, El-Ghali, Marwa and Al-Fatairi, Nour, DEFECTS '09: Proceedings of the 2nd International Workshop on Defects in Large Software Systems, 2009, pp. 1-5, ACM, New York, NY, ISBN 978-1-60558-654-0.
  • Test Case Prioritization based on Analysis of Program Structure. Zengkai Ma, and Jianjun Zhao, IEEE Asia-Pacific Software Engineering Conference, 2008 (APSEC'08), December 3-5, 2008, pp. 471-478, ISBN 978-0-7695-3446-6.
  • An Empirical Study on Bayesian Network-Based Approach for Test Case Prioritization. Mirarab, Siavash, and Tahvildari, Ladan, Proceedings of the 2008 International Conference on Software Testing, Verification and Validation, ICST 2008, art. no. 4539555, pp. 278-287, IEEE Computer Society Washington, DC 2008, ISBN 978-0-7695-3127-4
  • Optimizing Test Process Action Plans by Blending Testing Maturity Model and Design of Experiments. Hyejin Oh, Byoungju Choi, Hyuksoo Han, and Wong, W. E., Proceedings of the IEEE 8th International Conference on Quality Software (QSIC'08), art. no. 4601528, 2008, pp. 57-66, IEEE Washington, DC 2008, ISBN 978-0-7695-3312-4
  • Historical Value-Based Approach for Cost-Cognizant Test Case Prioritization to Improve the Effectiveness of Regression Testing. Park, Hyuncheol, Ryu, Hoyeon, and Baik, Jongmoon, Proceedings − The 2nd IEEE International Conference on Secure System Integration and Reliability Improvement, SSIRI 2008, art. no. 4579792, pp. 39-46, IEEE Computer Society Washington, DC 2008, ISBN 978-0-7695-3266-0
  • Configuration-Aware Regression Testing: An Empirical Study of Sampling and Prioritization. Xiao Qu, Cohen, Myra B., and Rothermel, Gregg, ISSTA'08: Proceedings of the 2008 International Symposium on Software Testing and Analysis 2008, pp. 75-85, ACM New York, NY 2008, ISBN 978-1-60558-050-0
  • Sieve: A Tool for Automatically Detecting Variations Across Program Versions. Ramanathan, Murali Krishna, Grama, Ananth, and Jagannathan, Suresh, 21st IEEE/ACM International Conference on Automated Software Engineering 2006 (ASE '06), 18-22 Sept. 2006, vol., no., pp.241-252, IEEE Washington, DC, ISBN 0-7695-2579-2
  • PHALANX: A Graph-Theoretic Framework for Test Case Prioritization. Ramanathan, Murali Krishna, Koyuturk, Mehmet, Grama, Ananth, and Jagannathan, Suresh, Proceedings of the ACM Symposium on Applied Computing, 2008, Fortaleza, Ceara, Brazil, pp. 667-673, ACM New York, NY 2008, ISBN 978-1-59593-753-7
  • Test Benchmarks − What is the Question? Runeson, Per, Skoglund, Mats, and Engström, Emelie, 2008 IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW'08, art. no. 4567036, pp. 368-371, IEEE Computer Society Washington, DC 2008, ISBN 978-0-7695-3388-9
  • Experimental Program Analysis: A New Program Analysis Paradigm. Ruthruff Joseph R., Elbaum, Sebastian, and Rothermel, Gregg, Proceedings of the 2006 International Symposium on Software Testing and Analysis, pp. 49-60, ACM New York, NY 2006, ISBN 1-59593-263-1.
  • Faults' Context Matters. Strecker, Jaymie, and Memon, Atif M., ACM SOQUA '07: Fourth International Workshop on Software Quality Assurance: in conjunction with the 6th ESEC/FSE joint meeting, Dubrovnik, Croatia, September 2007, pp. 112-115, ACM New York, NY 2007, ISBN 978-1-59593-724-7.
  • DiffGen: Automated Regression Unit-Test Generation. Taneja, K., and Tao Xie, ASE 2008 − Proceedings of the 23rd IEEE/ACM International Conference on Automated Software Engineering (ASE 2008), art. no. 4639353, pp. 407-410, IEEE 2008, ISBN 978-1-4244-2187-9
  • Augmenting Automatically Generated Unit-Test Suites with Regression Oracle Checking. Tao Xie, ECOOP 2006 − Object Oriented Programming, Volume 4067/2006, Springer Berlin/Heidelberg, pp. 380-403, ISBN 978-3-540-35726-1
  • Time Will Tell: Fault Localization using Time Spectra. Yilmaz, Cemal, Paradkar, Amit, and Williams, Clay, Proceedings of the 30th International Conference on Software Engineering, 2008, pp. 81-90, ACM New York, NY 2008, ISBN 978-1-60558-079-1
  • Debugging Through Evaluation Sequences: A Controlled Experimental Study. Zhenyu Zhang, Bo Jiang, Chan, W.K., and Tse, T.H., Proceedings of the 2008 32nd Annual International Computer Software and Applications Conference, 2008, art. no. 4591546, pp. 128-135, IEEE Computer Society Washington, DC 2008, ISBN 978-0-7695-3262-2
  • Maximising the Information Gained from a Study of Static Analysis Technologies for Concurrent Software. Wojcicki, Margaret A., and Strooper, Paul, Empirical Software Engineering, Volume 12, Number 6/December 2007, pp. 617-645, Springer Netherlands, ISSN 1382-3256
  • Maximising the Information Gained from an Experimental Analysis of Code Inspection and Static Analysis for Concurrent Java Components. Wojcicki, Margaret A., and Strooper, Paul, Proceedings of the 2006 ACM/IEEE International Symposium on Empirical Software Engineering, Rio de Janeiro, Brazil, pp. 174-183, ACM New York, NY 2006, ISBN 1-59593-218-6
  • Hierarchical dynamic slicing. Tao Wang, and Abhik Roychoudhury, Proceedings of the 2007 International Symposium on Software Testing and Analysis, London, UK 2007, pp. 228-238, ACM New York, NY 2007, ISBN:978-1-59593-734-6
  • A Dynamic Approach to Statistical Debugging: Building Program Specific Models with Neural Networks. Wood, Matthew, Undergraduate Thesis, School of Computer Science, Georgia Institute of Technology, May 2007, available from http://smartech.gatech.edu/bitstream/1853/16121/1/thesis.pdf
• Publications citing objects available prior to SIR creation
• • Empirical Evaluation of the Tarantula Automatic Fault-Localization Technique. J. A. Jones, M. J. Harrold. In Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering, Long Beach, California, November, 2005, pp. 273-282.
  • Efficient and Precise Dynamic Impact Analaysis Using Execute-After Sequences. T. Apiwattanapong, A. Orso, M. J. Harrold. In Proceedings of the 27th IEEE and ACM SIGSOFT International Conference on Software Engineering (ICSE 2005), St. Louis, Missouri, May, 2005, pp. 432-441.
  • Classifying Data Dependences in the Presence of Pointers for Program Comprehension, Testing, and Debugging. S. Sinha, A. Orso, M. J. Harrold. ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 13, No. 2, pp. 199-239.
  • Selecting a Cost-Effective Test Case Prioritization Technique. S. Elbaum, G. Rothermel, S. Kanduri, A. G. Malishevsky. Software Quality Journal, Vol. 12, No. 3, September, 2004, pp. 185-210.
  • Active Learning for Automatic Classification of Software Behavior. J. F. Bowring, J. M. Rehg, M. J. Harrold. In Proceedings of the International Symposium on Software Testing and Analysis (ISSTA 2004), Boston, Massachusetts, July, 2004, pp. 195-205.
  • An Empirical Comparison of Dynamic Impact Analysis Algorithms. A. Orso, T. Apiwattanapong, J. B. Law, G. Rothermel, M. J. Harrold. In Proceedings of the 26th International Conference on Software Engineering (ICSE 2004), Edinburgh, Scotland, May, 2004, pp. 491-500.
  • Finding latent code errors via machine learning over program executions. Y. Brun, M. Ernst. In ICSE'04, Proceedings of the 26th International Conference on Software Engineering, Edinburgh, Scotland, May, 2004, pp. 480-490.
  • Using spanning sets for coverage testing. IEEE Transactions on Software Engineering, Vol. 29, No. 11, November, 2003.
  • Incremental Dynamic Impact Analysis for Evolving Software Systems. J. Law, G. Rothermal. In Proceedings of the International Symposium on Software Reliability Engineering, November, 2003.
  • Automated Support for Development, Maintenance, and Testing in the Presence of Implicit Control Flow. S. Sinha, A. Orso, M. J. Harrold. Technical Report GIT-CC-03-48, College of Computing, Georgia Institute of Technology, September, 2003.
  • Understanding the Effects of Changes on the Cost-Effectiveness of Regression Testing Techniques. S. Elbaum, P. Kallakuri, A. G. Malishevsky, G. Rothermel, S. Kanduri. Journal of Software Testing, Verification, and Reliability, Vol. 13, No. 2, June, 2003, pp. 65-83.
  • Improving test suites via operational abstraction. M Harder, J. Mellen, M. Ernst. In ICSE'03, Proceedings of the 25th International Conference on Software Engineering, Portland, Oregon, May 2003, pp. 60-71.
  • Whole Program Path-Based Dynamic Impact Analysis. J. Law, G. Rothermel. In Proceedings of the 25th International Conference on Software Engineering, Portland, Oregon, May, 2003, pp. 308-318.
  • Test-Suite Reduction and Prioritization for Modified Condition/Decision Coverage. J. A. Jones, M. J. Harrold. IEEE Transactions on Software Engineering, Vol. 29, No. 3, March, 2003, pp. 195-209.
  • Understanding Data Dependences in the Presence of Pointers. A. Orso, S. Sinha, M. J. Harrold. Technical Report GIT-CERCS-03-10, College of Computing, Georgia Institute of Technology, May, 2003.
  • Testing with model checkers: insuring fault visibility. V. Okun, P. Black, Y. Yesha. In The World Scientific and Engineering Academy and Society Transactions on Systems, Vol. 2, No. 1, January, 2003, pp. 77-82.
  • Can Fault-Exposure-Potential Estimates Improve the Fault Detection Abilities of Test Suites? W. Chen, R. H. Untch, G. Rothermel, S. Elbaum, J. von Ronne. Journal of Software Testing, Verification, and Reliability, Vol. 4, No. 2, December, 2002.
  • Empirical Studies of Test Suite Reduction. G. Rothermel, M. J. Harrold, J. von Ronne, C. Hong. Journal of Software Testing, Verification, and Reliability, Vol. 4, No. 2, December, 2002.
  • A history-based test prioritization technique for regression testing in resource constrainted environments. J. Kim, A. Porter. In Proceedings of the 24th International Conference on Software Engineering, May, 2002.
  • Macro and micro perspectives on strategic software quality assurance in resource constrained environments. T. Xie, D. Notkin. In Proceedings of the 4th International Workshop on Economics-Driven Software Engineering Research, May, 2002.
  • Test Case Prioritization: A Family of Empirical Studies. S. Elbaum, A. Malishevsky, G. Rothermel. IEEE Transactions on Software Engineering, Vol. 28, No. 2, February, 2002, pp. 159-192.
  • Using Component Metadata to Support the Regression Testing of Component-Based Software. A. Orso, M. J. Harrold, D. Rosenblum, G. Rothermel, M. L. Soffa, H. Do. In Proceedings of the IEEE International Conference on Software Maintenance, November, 2001.
  • Prioritizing Test Cases for Regression Testing. G. Rothermel, R. Untch, C. Chu, M. J. Harrold. IEEE Transactions on Software Engineering, Vol. 27, No. 10, October, 2001, pp. 929-948.
  • Incorporating Varying Test Costs and Fault Severities into Test Case Prioritization. S. Elbaum, A. Malishevsky, G. Rothermel. In Proceedings of the 23rd International Conference on Software Engineering, May, 2001, pp. 329-338.
  • Computation of Interprocedural Control Dependencies. S. Sinha, M. J. Harrold, G. Rothermel. ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 10, No. 2, April, 2001, pp. 209-254.
  • An Empirical Study of Regression Test Selection Techniques. T. L. Graves, M. J. Harrold, J.-M. Kim, A. Porter, G. Rothermel. ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 10, No. 2, Aprtil, 2001, pp. 184-208.
  • A Comparative Study of Coarse− and Fine−Grained Safe Regression Test Selection. J. Bible, G. Rothermel, D. Rosenblum. ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 10, No. 2, April, 2001, pp. 149-183.
  • Empirical Studies of a Prediction Model for Regression Test Selection. M. J. Harrold, D. Rosenblum, G. Rothermel, E. Weyuker. IEEE Transactions on Software Engineering, Vol. 27, No. 3, March, 2001, pp. 248-263.
  • Using symbolic execution for verifying safety-critical systems. In Proc. ESEC/FSE, 2001.

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