Evidence-driven Testing and Debugging of Software Systems

dc.contributor.author	Soremekun, Ezekiel
dc.contributor.editor	Herrmann, Andrea
dc.date.accessioned	2024-04-08T08:43:36Z
dc.date.available	2024-04-08T08:43:36Z
dc.date.issued	2022
dc.description.abstract	This article is a summary of the dissertation titled “Evidence-driven Testing and Debugging of Software Systems” submitted in April, 2021 for the degree Doctor of Engineering (Dr.-Ing.) in Soft ware Engineering at the Faculty of Mathematics and Computer Science, Saarland University, Germany. This dissertation proposes an evidence-driven approach to address several challenges in software testing and debugging. This work provides several empirical data and methods to guide researchers to build and evaluate testing and debugging aids. We have proposed a hybrid approach that synergistically combines the strengths of dynamic slicing and statistical debugging.	en
dc.identifier.issn	0720-8928
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/43848
dc.language.iso	en
dc.pubPlace	Bonn
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Softwaretechnik-Trends Band 42, Heft 2
dc.relation.ispartofseries	Softwaretechnik-Trends
dc.subject	testing
dc.subject	debugging
dc.subject	evidence-driven
dc.subject	dynamic slicing
dc.subject	statistical debugging
dc.title	Evidence-driven Testing and Debugging of Software Systems	en
dc.type	Text/Journal Article
mci.reference.pages	12-13

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