Ph.D
Group : Formal Testing and System Exploration

Symbolic Testing of Composite Web Services

Starts on 01/12/2007
Advisor : GAUDEL, Marie-Claude
[Pascal Poizat, Fatiha ZAIDI]

Funding : CDD sur contrat UPS
Affiliation : Université Paris-Saclay
Laboratory : LRI

Defended on 16/12/2011, committee :

Research activities :
   - Software Testing

Abstract :
Web services are gaining industry-wide acceptance and usage by fostering the development of distributed applications out of the composition of simpler entities called services. In complement to verification, testing allows one to check for the correctness of a binary (no source code) service implementation with reference to a specification. In this thesis, we propose black box conformance testing approach for centralized service compositions (orchestrations). With reference to the state of the art, we develop a symbolic approach in order to avoid state space explosion issues due to the XML data being largely used in Web services. This approach is based on symbolic models (STS), symbolic execution, and the use of a satisfiability modulo theory (SMT) solver. Further, we propose a comprehensive end-to-end approach that goes from specification using a standard orchestration language (ABPEL), and the possible description of test purposes, to the online realization and execution of symbolic test cases against an implementation. A crucial point is a model transformation from ABPEL to STS that we have defined and that takes into account the peculiarities of ABPEL semantics. The automation of our approach is supported by a tool-chain that we have developed.

CAUSAL LEARNING FOR DIAGNOSTIC SUPPORT


CAUSAL UNCERTAINTY QUANTIFICATION UNDER PARTIAL KNOWLEDGE AND LOW DATA REGIMES


MICRO VISUALIZATIONS: DESIGN AND ANALYSIS OF VISUALIZATIONS FOR SMALL DISPLAY SPACES
The topic of this habilitation is the study of very small data visualizations, micro visualizations, in display contexts that can only dedicate minimal rendering space for data representations. For several years, together with my collaborators, I have been studying human perception, interaction, and analysis with micro visualizations in multiple contexts. In this document I bring together three of my research streams related to micro visualizations: data glyphs, where my joint research focused on studying the perception of small-multiple micro visualizations, word-scale visualizations, where my joint research focused on small visualizations embedded in text-documents, and small mobile data visualizations for smartwatches or fitness trackers. I consider these types of small visualizations together under the umbrella term ``micro visualizations.'' Micro visualizations are useful in multiple visualization contexts and I have been working towards a better understanding of the complexities involved in designing and using micro visualizations. Here, I define the term micro visualization, summarize my own and other past research and design guidelines and outline several design spaces for different types of micro visualizations based on some of the work I was involved in since my PhD.