Zoltán Horváth
Professor and supervisor of RefactorErl
Zoltán Horváth is Professor at, and Head of, the Department of Programming Languages and Compilers and Vice-Rector for International Affairs at Eötvös Loránd University in Budapest, Hungary. He defended his habilitation thesis in 2004; the title of his thesis was ``Verification and Semantics of Mobile Code Written in a Functional Programming Language''.
Current topics researched under his supervision include language design, construction of programming language processing tools, formal methods and scheduling in grids. He has been supervising the RefactorErl project since 2005.
Current topics researched under his supervision include language design, construction of programming language processing tools, formal methods and scheduling in grids. He has been supervising the RefactorErl project since 2005.
Zoltán Horváth is Giving the Following Talks
Change impact analysis
Program slicing is a well-known technique that utilizes dependency
graphs and static program analysis. Our goal is to perform change impact
analysis of Erlang programs based on the resulted program slices, that
is we want to measure the impact of any change made on the source code:
especially we want to select a subset of test cases which must be rerun
after the modification. The change can be performed manually by the
programmer or using a refactoring tool, such as RefactorErl. However
refactorings should preserve the original behaviour of the system,
developers want to be convinced about that, thus they retest the
software after some transformations. Software testing is said to be the
most expensive part of the lifecycle of software systems, so our
research focuses on selecting test cases affected by refactorings that
should be retested after the transformation.
Audience: Erlang developers and researchers
Objectives: Show the audience how you can use the change impact analysis technique to detect the subset of test cases affected by a change on the source code.
Audience: Erlang developers and researchers
Objectives: Show the audience how you can use the change impact analysis technique to detect the subset of test cases affected by a change on the source code.
