Extensive tests showed that many software codes widely used in science and engineering are not as accurate as we would like to think. It is argued that better software engineering practices would help solve this problem, but realizing that the problem exists is an important first ste
Most empirical social scientists are surprised that low-level numerical issues in software can have ...
Software rarely works as intended when it is first written. Software engineering research has long b...
Software reliability is one of the cornerstones of any successful user experience. Software needs to...
The opportunities for both subtle and profound errors in software and data management are boundless,...
Computation has rapidly grown in the last 50 years so that in many scientific areas it is the domi...
Context: Conducting experiments is central to research machine learning research to benchmark, evalu...
Part 2: UQ TheoryInternational audienceComputation has rapidly grown in the last 50 years so that in...
As code is now an inextricable part of science it should be supported by competent Software Engineer...
Scientific findings based on computer simulation evoke sceptical responses because their output does...
Computer programs do not always work as expected. In fact, ominous warnings about the desperate stat...
Context The trustworthiness of research results is a growing concern in many empirical disciplines. ...
Context: Scientific software plays an important role in critical decision making, for example making...
Forty years ago, the very first programmers were wondering how to make the best use of stored progra...
Four ways to reduce scientific errors are by tests of equipment and programs, examination of results...
In 2018, I published a paper that reported the most interesting finding of my career. A year later, ...
Most empirical social scientists are surprised that low-level numerical issues in software can have ...
Software rarely works as intended when it is first written. Software engineering research has long b...
Software reliability is one of the cornerstones of any successful user experience. Software needs to...
The opportunities for both subtle and profound errors in software and data management are boundless,...
Computation has rapidly grown in the last 50 years so that in many scientific areas it is the domi...
Context: Conducting experiments is central to research machine learning research to benchmark, evalu...
Part 2: UQ TheoryInternational audienceComputation has rapidly grown in the last 50 years so that in...
As code is now an inextricable part of science it should be supported by competent Software Engineer...
Scientific findings based on computer simulation evoke sceptical responses because their output does...
Computer programs do not always work as expected. In fact, ominous warnings about the desperate stat...
Context The trustworthiness of research results is a growing concern in many empirical disciplines. ...
Context: Scientific software plays an important role in critical decision making, for example making...
Forty years ago, the very first programmers were wondering how to make the best use of stored progra...
Four ways to reduce scientific errors are by tests of equipment and programs, examination of results...
In 2018, I published a paper that reported the most interesting finding of my career. A year later, ...
Most empirical social scientists are surprised that low-level numerical issues in software can have ...
Software rarely works as intended when it is first written. Software engineering research has long b...
Software reliability is one of the cornerstones of any successful user experience. Software needs to...
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