Speaker: Dr Roberto Pietrantuono, Fererico II University of Naples, Italy
Testing software efficiently for reliability improvement and/or assessment is an as much old and studied topic as a still open and tricky challenge. It is related to the ability of appropriately designing testing strategies to get the best result (in terms of delivered reliability or of accurate reliability estimate) at low cost.
Conventional techniques are based on the operational profile (a.k.a. operational testing) and on software reliability growth models (SRGMs). Although these are pillars of software reliability engineering, they suffer from serious limitations related to the assumptions they rely on, but also related to their inherent inability to cope with ultra-reliable systems.
The seminar surveys some of the fundamental issues of reliability testing. It then presents practical policies to allocate testing effort optimally from the reliability perspective, and to design new sampling-based strategies for efficient test cases selection.
Roberto Pietrantuono, Ph.D., IEEE Senior Member, is a postdoctoral research fellow at the Federico II University of Naples, Italy, where he works with the Dependable Systems Software Engineering Research Team (DESSERT, www.dessert.unina.it).
He received the MS degree in computer engineering in 2006, and the PhD in computer and automation engineering in 2009, both from the Federico II University of Naples. In 2011, he co-founded the Critiware spin-off company (www.critiware.com), an innovative startup active in the field of quality assurance of critical software systems. He has been research fellow at CINI, the Italian inter-university consortium for informatics, working in national and European projects (ICEBERG - http://www.iceberg-sqa.eu/; TENACE - www.dis.uniroma1.it/~tenace/ ; the COSMIC public-private laboratory with Leonardo Finmeccanica).
His main interests are in the area of software quality, software reliability and V&V for critical systems.
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When and where
1.00pm - 2.00pmThursday 13th July 2017