Review:RTE

<accesscontrol>reviewer,pel</accesscontrol>

Robust Testing Environments (RTE)

Currently much time is spent in setting up system tests, trying to understand exactly what is being tested, understanding errors that occur during tests and verifying the test results. These issues can be especially difficult for distributed enterprise applications made up of a large number of software components that run on a collection of heterogeneous servers or in cloud environments. Load generation for accurate simulation of complex user behaviour is a growing challenge when testing large-scale critical systems. For example, with more and more applications moving to cloud-based infrastructures, typical load generation designed for applications residing on a local area network may be ineffective for robust testing. Research is required to develop new load generation techniques that take into consideration new cloud-based infrastructures where applications may be physically distributed across different infrastructures in different geographical locations and where network bandwidth may be unknown or at different quality levels at various points. This research will develop a set of prototype tools to allow for the more efficient system testing of large enterprise applications.

People involved

• Sandra Theodora Buda - PhD Student, UCD
• Vanessa Ayala - PhD Student, UCD
• Seán Ó Rí­ordáin - PhD Student, TCD
• Thomas Cerqueus - Postdoc researcher, UCD
• Patrick McDonagh - Postdoc researcher, DCU
• Anthony Ventresque - Postdoc researcher, UCD
• Christina Thorpe - Postdoc researcher, UCD
• Philip Perry - Postdoc researcher, UCD
• Simon Wilson - Professor, TCD
• John Murphy - Professor, UCD
• Liam Murphy - Professor, UCD

Collaborations

• Morten Kristiansen - IBM Dublin
• Eduardo Cunha de Almeida - Assistant Professor, Federal University of Paraná (Brazil)
• Gerson Sunyé - Associate Professor, University of Nantes (France)
• Yves Le Traon, Professor, University of Luxembourg (Luxembourg)

Statement of work

The following table presents the deliverables for the project.

Quarter	Deliverables	Status
Q1 2013	Survey of anonymization techniques based on k-anonymity for microdata	Done
Q3 2013	High-level architecture design of a privacy-preserving data publishing assisting tool Survey of data mining algorithms	In process
Q3 2012	Initial algorithm to automatically extract relationships between schemas in the DB	File
Q3 2012	Survey of algorithms for database sampling	Done
Q1 2013	Design and specification of an algorithm for database sampling (table-level)	Done
Q4 2013	Evaluation of scalability and performance of the DB sampling algorithm	In process
Q2 2014	Evaluation of the DB sampling algorithm on real test case
Q3 2014	Design and specification of an algorithm for database sampling (attribute-level) Survey of algorithms for database extrapolation
Q3 2014	Design and specification of an algorithm for database extrapolation Survey of stress testing techniques
Q3 2014	Design of a stress testing methodology for Cloud applications Survey of self-tuning/automatic testing techniques
Q3 2014	Design of a self-tuning methodology for Cloud applications
Q1 2013	Review and implementation of previous approach An analysis of Firefox bug report data	Done
Q4 2013	Survey of the literature on statistical reliability in large scale software systems	In process
Q3 2012	Questionnaire: Testing the Cloud	Done
Q3 2013	Organisation of the Testing The Cloud workshop (ISSTA 2013)	Done