The Problem of Numerical Software Quality

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  James C. T. Pool: Is numerical software relevant? Is it too late to worry about quality? 3-11
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  Les Hatton: The T-experiments: errors in scientific software. 12-31
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  W. Morven Gentleman: If software quality is a perception, how do we measure it? 32-43
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  Cherri M. Pancake: Improving quality through user-centered design. 44-60
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  John C. Munson: A functional approach to software reliability modeling. 61-76
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  Mladen A. Vouk, Munindar P. Singh: Quality of service and scientific workflows. 77-89
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  Leon J. Osterweil: Improving the quality of software quality determination processes. 90-105

Testing and Evaluation Methodology

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  Nicholas J. Higham: Testing linear algebra software. 109-124
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  Ronald F. Boisvert, Roldan Pozo, Karin A. Remington, Richard F. Barrett, Jack Dongarra: Matrix Market: a web resource for test matrix collections. 125-137
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  Bernard Butler, Maurice Cox, Alistair Forbes, Simon Hannaby, Peter Harris: A methodology for testing classes of approximation and optimisation. 138-151
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  J. N. Lyness: Evaluation of minimization software based on performance profile techniques. 152-154
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  W. Van Snyder: Testing functions of one and two arguments. 155-166
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  Daniel W. Lozier: A proposed software test service for special functions. 167-178
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  Wayne H. Enright, H. Hayashi: The evaluation of numerical software for delay differential equations. 179-193

The Effect of New Environments on Numerical Software Quality

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  Jeremy Du Croz: Designing and building a new numerical library in Fortran 90. 197-209
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  J. K. Reid: Two approaches to exeption handling in Fortran. 210-223
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  Lawrence F. Shampine, M. W. Reichelt: Developing ODE software in new computing environments. 224-235
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  Jack Dongarra, Sven Hammarling, Antoine Petitet: Case studies on the development of ScaLAPACK and the NAG Numerical PVM Library. 236-248
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  William Gropp: Why we couldn't use numerical libraries for PETSc. 249-254
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  Shun Doi, Hidehiro Fujio, Kouta Sugihara: Automatic parallel program generation for finite element analysis. 255-266
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  William M. Coughran Jr.: Network-based scientific computation via Inferno. 267-269
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  Eric Grosse: Real Inferno. 270-279
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  Ulrich W. Kulisch: The XSC tools for extended scientific computing. 280-284

Case Studies

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  Christian H. Bischof: Automatic differentiation and numerical software design. 287-299
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  Françoise Chaitin-Chatelin: Is nonnormality a serious computational difficulty in practice? 300-314
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  Desmond J. Higham: Reliability of local error control algorithms for initial value ordinary differential equations. 315-325
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  Ian Gladwell, Malgorzata A. Napierala: Efficiency of global adaptive quadrature. 326-329
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  Mo Mu: Software testing and evaluation in large-scale scientific applications. 330-332
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  Yukio Umetani: The visual diagnosis on numerical calculation of PDE problems and experiments. 333-344
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  S. L. Lee, W. E. Schiesser: Some fundamental limitations of mathematical software revealed by the calculation of spacetime curvature. 345-348
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  M. Nakagawa: Development of efficient general purpose Monte Carlo codes used in nuclear engineering. 349-360
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  Yu. I. Shokin: New resource-sparing grid methods for solving the problems of mathematical physics. 361-372

The Conference

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  The Quality of Numerical Software: Assessment and Enhancement. 375-380

last updated on Tue May 21 02:25:04 2013 by the dblp team
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