Development of Scientific Software: a Systematic Mapping, a bibliometrics Study, and a Paper Repository
暂无分享,去创建一个
Vahid Garousi | Dietmar Pfahl | Jonathan Sillito | Roshanak Farhoodi | V. Garousi | Dietmar Pfahl | Jonathan Sillito | R. Farhoodi
[1] Karla Morris,et al. On the object-oriented design of reference-counted shadow objects , 2011, SECSE '11.
[2] Yang Li,et al. (Position Paper) Applying software engineering methods and tools to CSE research projects , 2010, ICCS.
[3] Diane Kelly,et al. Five Recommended Practices for Computational Scientists Who Write Software , 2009, Computing in Science & Engineering.
[4] Marjan Mernik,et al. Developing scientific applications using Generative Programming , 2009, 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering.
[5] David Kane,et al. Introducing agile development into bioinformatics: an experience report , 2003, Proceedings of the Agile Development Conference, 2003. ADC 2003.
[6] Pearl Brereton,et al. Using Mapping Studies in Software Engineering , 2008, PPIG.
[7] David W. Kane,et al. Agile methods in biomedical software development: a multi-site experience report , 2006, BMC Bioinformatics.
[8] J.M. Willenbring,et al. The Trilinos Software Lifecycle Model , 2007, Third International Workshop on Software Engineering for High Performance Computing Applications (SE-HPC '07).
[9] Michael A. Heroux,et al. Improving the Development Process for CSE Software , 2007, 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07).
[10] A Bibliometric Assessment of Canadian Software Engineering Scholars and Institutions (1996-2006) , 2010, Comput. Inf. Sci..
[11] Forrest Shull,et al. Generating testable hypotheses from tacit knowledge for high productivity computing , 2005, SE-HPCS '05.
[12] Yvonne Coady,et al. Mind the gap!: bridging the dichotomy of design and implementation , 2011, SECSE '11.
[13] D. M. Beazley,et al. Feeding a large-scale physics application to Python , 1997 .
[14] Robert E. Wolfe,et al. Strategies for enabling software reuse within the Earth Science Community , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[15] Jesse H. Poore,et al. Modeling Input Space for Testing Scientific Computational Software: A Case Study , 2008, ICCS.
[16] Premkumar T. Devanbu,et al. Adaptable Assertion Checking for Scientific Software Components , 2004 .
[17] Robert Gentleman,et al. R Programming for Bioinformatics , 2008 .
[18] Masha Sosonkina,et al. A component approach to collaborative scientific software development: Tools and techniques utilized by the Quantum Chemistry Science Application Partnership , 2008 .
[19] Pras Pathmanathan,et al. Chaste: using agile programming techniques to develop computational biology software , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[20] R. Neely. Practical software quality engineering on a large multi-disciplinary HPC development team , 2004, ICSE 2004.
[21] Carole L. Palmer,et al. Comparing bioinformatics software development by computer scientists and biologists: An exploratory study , 2009, 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering.
[22] Masha Sosonkina,et al. Integrating Performance Tools with Large-Scale Scientific Software , 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.
[23] Magdy S. Abadir,et al. Analyzing multichip module testing strategies , 1994, IEEE Design & Test of Computers.
[24] Miguel Ángel Gómez-Nieto,et al. Object-oriented techniques for design and development of standard software solutions in automation and data management in analytical chemistry , 2006 .
[25] Judith Segal,et al. Scientists and Software Engineers: A Tale of Two Cultures , 2008, PPIG.
[26] M. G. Cox,et al. Design and use of reference data sets for testing scientific software , 1999 .
[27] I. Gorton,et al. A High-Performance Event Service for HPC Applications , 2007, Third International Workshop on Software Engineering for High Performance Computing Applications (SE-HPC '07).
[28] G. D. Mallinson,et al. The design of a component-oriented framework for numerical simulation software , 2007, Adv. Eng. Softw..
[29] Judith Segal,et al. Some challenges facing software engineers developing software for scientists , 2009, 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering.
[30] Diane Kelly,et al. Dealing with Risk in Scientific Software Development , 2008, IEEE Software.
[31] Michael T. Heath,et al. Roccom: an object-oriented, data-centric software integration framework for multiphysics simulations , 2003, ICS '03.
[32] Brian Vinter,et al. Rapid development of scalable scientific software using a process oriented approach , 2011, J. Comput. Sci..
[33] R. P. Kendall,et al. Case study of the Falcon code project , 2005, SE-HPCS '05.
[34] Kai Petersen,et al. Systematic Mapping Studies in Software Engineering , 2008, EASE.
[35] Osni Marques,et al. Building a software infrastructure for computational science applications: lessons and solutions , 2005, SE-HPCS '05.
[36] Jarek Nieplocha,et al. Component‐based integration of chemistry and optimization software , 2004, Journal of computational chemistry.
[37] Jeffrey Overbey,et al. Refactorings for Fortran and high-performance computing , 2005, SE-HPCS '05.
[38] Victor R. Basili,et al. The ASC-Alliance Projects: A Case Study of Large-Scale Parallel Scientific Code Development , 2008, Computer.
[39] David E. Bernholdt,et al. Managing Complexity in Modern High End Scientific Computing through Component-Based Software Engineering , 2004 .
[40] Karen Schuchardt,et al. Velo: riding the knowledge management wave for simulation and modeling , 2011, SECSE '11.
[41] Travis E. Oliphant,et al. Python for Scientific Computing , 2007, Computing in Science & Engineering.
[42] James F. Cremer,et al. Creating scientific software , 1997 .
[43] Robert L. Glass,et al. An assessment of systems and software engineering scholars and institutions (1999-2003) , 2005, J. Syst. Softw..
[44] V. Basili. Software modeling and measurement: the Goal/Question/Metric paradigm , 1992 .
[45] Jacquelyn S. Fetrow,et al. Scientific Software Development Is Not an Oxymoron , 2006, PLoS Comput. Biol..
[46] Marzio Sala,et al. An object-oriented framework for the development of scalable parallel multilevel preconditioners , 2006, TOMS.
[47] Barbara Paech,et al. Supporting the testing of scientific frameworks with software product line engineering: a proposed approach , 2011, SECSE '11.
[48] Les Hatton,et al. The T-experiments: errors in scientific software , 1996, Quality of Numerical Software.
[49] T. Cook,et al. Quasi-experimentation: Design & analysis issues for field settings , 1979 .
[50] N. D. Bellis. Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics , 2009 .
[51] Matthias Wagner. Evolution from a Scientific Application to an Applicable Product , 2007, 11th European Conference on Software Maintenance and Reengineering (CSMR'07).
[52] Michael L. Van de Vanter,et al. Scientific Computing's Productivity Gridlock: How Software Engineering Can Help , 2009, Computing in Science & Engineering.
[53] Nenad Medvidovic,et al. Scientific Software as Workflows: From Discovery to Distribution , 2008, IEEE Software.
[54] Diane Kelly,et al. Examining random and designed tests to detect code mistakes in scientific software , 2011, J. Comput. Sci..
[55] Roscoe A. Bartlett,et al. Integration strategies for Computational Science & Engineering software , 2009, 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering.
[56] Sabine Rathmayer,et al. SEMPA: software engineering for parallel scientific computing , 1997, IEEE Concurrency.
[57] Lutz Gross,et al. A New Design of Scientific Software Using Python and XML , 2008 .
[58] Julian Cummings,et al. Comparison of C++ and Fortran 90 for object-oriented scientific programming , 1997 .
[59] James Arthur Kohl,et al. Component-based software for high-performance scientific computing , 2005 .
[60] Jean YH Yang,et al. Bioconductor: open software development for computational biology and bioinformatics , 2004, Genome Biology.
[61] D. M. Woollard,et al. Software engineering for neural dynamics simulations: a case study , 2004, ICSE 2004.
[62] Douglass E. Post,et al. Case Study of the Nene Code Project , 2010, Computing in Science & Engineering.
[63] Robert R. Downs,et al. Relevance of software reuse in building advanced scientific data processing systems , 2010, Earth Sci. Informatics.
[64] Hans Petter Langtangen,et al. Object-oriented design of preconditioned iterative methods in diffpack , 1997, TOMS.
[65] Frank Elberzhager,et al. A systematic mapping study on the combination of static and dynamic quality assurance techniques , 2012, Inf. Softw. Technol..
[66] Charles Blilie,et al. Patterns in scientific software: an introduction , 2002, Comput. Sci. Eng..
[67] Boyana Norris,et al. Managing scientific software complexity with Bocca and CCA , 2008 .
[68] Lawrence G. Votta,et al. Can software engineering solve the HPCS problem? , 2005, SE-HPCS '05.
[69] Austen Rainer,et al. Case Study Research in Software Engineering - Guidelines and Examples , 2012 .
[70] Yin Liu,et al. Static analysis for inference of explicit information flow , 2008, PASTE '08.
[71] Diane Kelly. A Software Chasm: Software Engineering and Scientific Computing , 2007, IEEE Software.
[72] S. S. Sarangdevot,et al. Investigating the application of AOP methodology in development of bioinformatics software using Eclipse-AJDT environment , 2011, ICWET.
[73] Jeffrey C. Carver,et al. Development of a Weather Forecasting Code: A Case Study , 2008, IEEE Software.
[74] Michael A. Heroux,et al. On the design of interfaces to sparse direct solvers , 2008, TOMS.
[75] Diane Kelly. Determining factors that affect long-term evolution in scientific application software , 2009, J. Syst. Softw..
[76] Jeffrey C. Carver,et al. Software Development Environments for Scientific and Engineering Software: A Series of Case Studies , 2007, 29th International Conference on Software Engineering (ICSE'07).
[77] Scott R. Kohn,et al. Component Technology for High-Performance Scientific Simulation Software , 2000, The Architecture of Scientific Software.
[78] Judith Segal. Software Development Cultures and Cooperation Problems: A Field Study of the Early Stages of Development of Software for a Scientific Community , 2009, Computer Supported Cooperative Work (CSCW).
[79] Douglass E. Post,et al. Software Project Management and Quality Engineering Practices for Complex, Coupled Multiphysics, Massively Parallel Computational Simulations: Lessons Learned From ASCI , 2004, Int. J. High Perform. Comput. Appl..
[80] Diane Kelly,et al. Testing for trustworthiness in scientific software , 2009, 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering.
[81] Michael A. Heroux,et al. Improving CSE software through reproducibility requirements , 2011, SECSE '11.
[82] Judith Segal,et al. When Software Engineers Met Research Scientists: A Case Study , 2005, Empirical Software Engineering.
[83] Wen Yu,et al. Reusability of FEA software: A program family approach , 2009, 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering.
[84] Jeffrey C. Carver,et al. Understanding the High-Performance-Computing Community: A Software Engineer's Perspective , 2008, IEEE Software.
[85] T. N. Bhat,et al. A framework for scientific data modeling and automated software development , 2005, Bioinform..
[86] Russ Miller,et al. The Design of a Portable Scientific Tool: A Case Study Using SnB , 1996, Proceedings of the 1996 ACM/IEEE Conference on Supercomputing.
[87] S. Thorsteinson,et al. Scientific Software Testing: Analysis with Four Dimensions , 2011, IEEE Software.
[88] Robert L. Glass. An assessment of systems and software engineering scholars and institutions (1994-1998) , 1999, J. Syst. Softw..
[89] Peter Gregor,et al. Usability and User-Centered Design in Scientific Software Development , 2009, IEEE Software.
[90] Judith Segal. Some Problems of Professional End User Developers , 2007 .
[91] Steve M. Easterbrook,et al. Engineering the Software for Understanding Climate Change , 2009, Computing in Science & Engineering.
[92] Valerie Maxville. Preparing scientists for scalable software development , 2009, 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering.
[93] Geoff R. Mant,et al. Scientific Software Development at a Research Facility , 2008, IEEE Software.
[94] D. E. Post. The Challenge for computational science , 2004, ICSE 2004.
[95] Janice Singer,et al. How do scientists develop and use scientific software? , 2009, 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering.
[96] Robert L. Glass,et al. An assessment of systems and software engineering scholars and institutions (1998-2002) , 2003, J. Syst. Softw..
[97] Yutaka Kawai,et al. SAGA-based user environment for distributed computing resources: A universal Grid solution over multi-middleware infrastructures , 2010, ICCS.
[98] Yang Li. Reengineering a scientific software and lessons learned , 2011, SECSE '11.
[99] W. Yu,et al. A document driven methodology for developing a high quality Parallel Mesh Generation Toolbox , 2009, Adv. Eng. Softw..
[100] Premkumar T. Devanbu,et al. Improving scientific software component quality through assertions , 2005, SE-HPCS '05.
[101] Dietmar Pfahl,et al. A literature review of agile practices and their effects in scientific software development , 2011, SECSE '11.
[102] Viktor K. Decyk,et al. Why Fortran? , 2007, Computing in Science & Engineering.
[103] Diane Kelly,et al. Mutation Sensitivity Testing , 2009, Computing in Science & Engineering.
[104] Vahid Garousi,et al. A Bibliometrics Analysis of Canadian Electrical and Computer Engineering Institutions (1996-2006) Based on IEEE Journal Publications , 2012, Comput. Inf. Sci..
[105] Helgi Adalsteinsson,et al. Design patterns for multiphysics modeling in Fortran 2003 and C++ , 2010, TOMS.
[106] Martin Erwig,et al. Software reuse for scientific computing through program generation , 2005, TSEM.
[107] Vahid Garousi,et al. Classification and trend analysis of UML books (1997–2009) , 2011, Software & Systems Modeling.
[108] Shayne Flint,et al. A survey of scientific software development , 2010, ESEM '10.
[109] William L. Kleb,et al. Exploring XP for Scientific Research , 2003, IEEE Softw..
[110] Lionel C. Briand,et al. A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation , 2010, IEEE Transactions on Software Engineering.
[111] Nenad Medvidovic,et al. Injecting software architectural constraints into legacy scientific applications , 2009, 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering.
[112] Andrea Lani,et al. The COOLFluiD Framework: Design Solutions for High Performance Object Oriented Scientific Computing Software , 2005, International Conference on Computational Science.
[113] Dale R. Shires,et al. Coupling Scientific Applications within an Object-Oriented Programming Framework: Improving Development Time and Software Quality , 2004, PDPTA.
[114] Robert Baxter,et al. Software engineering is software engineering , 2004, ICSE 2004.
[115] Judith Segal,et al. Some Challenges Facing Scientific Software Developers: The Case of Molecular Biology , 2009, 2009 Fifth IEEE International Conference on e-Science.
[116] Aldo Dall'Osso,et al. Using computer algebra systems in the development of scientific computer codes , 2003, Future Gener. Comput. Syst..
[117] A. Krishnamurthy,et al. Developing a Computational Science IDE for HPC Systems , 2007, Third International Workshop on Software Engineering for High Performance Computing Applications (SE-HPC '07).