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
- 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 | D |
| Q3 2013 | High-level architecture design of a privacy-preserving data publishing assisting tool Survey of data mining algorithms |
IP |
| Q3 2012 | Initial algorithm to automatically extract relationships between schemas in the DB Survey of algorithms for database sampling |
D |
| Q1 2013 | Design and specification of an algorithm for database sampling (table-level) | D |
| Q4 2013 | Evaluation of scalability and performance of the DB sampling algorithm | D |
| Q2 2014 | Evaluation of the DB sampling algorithm on real test case | IP |
| Q3 2014 | Design and specification of an algorithm for database sampling (attribute-level) Survey of algorithms for database extrapolation |
D |
| Q3 2014 | Design and specification of an algorithm for database extrapolation Survey of stress testing techniques |
IP |
| Q3 2014 | Design of a stress testing methodology for Cloud applications Survey of self-tuning/automatic testing techniques |
NS |
| Q3 2014 | Design of a self-tuning methodology for Cloud applications | NS |
| Q1 2013 | Review and implementation of previous approach An analysis of Firefox bug report data |
D |
| Q4 2013 | Survey of the literature on statistical reliability in large scale software systems | NS |
| Q3 2012 | Questionnaire: Testing the Cloud | D |
| Q3 2013 | Organisation of the Testing The Cloud workshop (ISSTA 2013) | IP |
* D: Done, IP: In Process, NS: Not Started