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Software Testing and Verification

1987
Publisher Summary The chapter presents a broad view of many important concepts needed for testing, either during design or under maintenance, together with an overview of a number of research results and approaches that will affect testing practice in the future.
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Automated Software Testing for Matlab

Computing in Science & Engineering, 2009
Software testing can improve software quality. To test effectively, scientists and engineers should know how to write and run tests, define appropriate test cases, determine expected outputs, and correctly handle floating-point arithmetic. Using Matlab xUnit automated testing framework, scientists and engineers using Matlab can make software testing an
openaire   +1 more source

A Systematic Survey of Just-in-Time Software Defect Prediction

ACM Computing Surveys, 2023
Yunhua Zhao   +2 more
exaly  

SOFTWARE TESTING

1991, Proceedings. International Test Conference, 2005
openaire   +1 more source

Software for systems biology: from tools to integrated platforms

Nature Reviews Genetics, 2011
Samik Ghosh   +2 more
exaly  

Software reuse

ACM Computing Surveys, 1992
Charles W Krueger
exaly  

Software Vulnerability Analysis and Discovery Using Machine-Learning and Data-Mining Techniques

ACM Computing Surveys, 2018
Seyed Mohammad Ghaffarian   +1 more
exaly  

Bioconda: sustainable and comprehensive software distribution for the life sciences

Nature Methods, 2018
Björn Grüning   +2 more
exaly  

Software test automation

ACM SIGSOFT Software Engineering Notes, 2000
openaire   +1 more source

Search-based software engineering

ACM Computing Surveys, 2012
Mark Harman   +2 more
exaly  

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