As software systems become increasingly complex, there is an imperious need to ensure their performance and correct resource management that includes memory usage, availability of bandwidth, CPU etc. Some of the resource-related bugs are unavailability of required resources, using the wrong resource, but also resource-caused performance bottlenecks.
Test data adequacy assessment aims to determine the extent to which a software under test has been sufficiently tested. Ideally, a highly adequate set of test data would imply that the software under test has been thoroughly tested and hence we can expect it to contain few remaining defects. In this project, the overall goal is to develop models and methods for adequacy-based testing of extra-functional properties in embedded systems.
Based on this research objective, the project is organised into four directions of research: (i) Formal Models for Performance and Resource-Usage Testing, focusing on using priced automata theory for establishing mappings from extra-functional requirements to test models with formal semantics, (ii) Model-Based Test Suite Generation, focusing on establishing methods for test suite generation, by means of model-checking of the above models, and derivation of test cases from the model checking traces, (iii) Compositional Testing, focusing on determining the extent to which test results, and extra-functional test adequacy in particular, of integrated systems can be inferred from the test adequacy of the individual components of the systems, and (iv) Algorithm Implementation and Experimentation, focusing on packaging project results in an accessible tool format, as well as on experimental evaluation of adequacy criteria precision, and costeffectiveness of the techniques proposed in the project.
|First Name||Last Name||Title|
Customized Real-Time Data Management for Automotive Systems: A Case Study (Oct 2017) Simin Cai, Barbara Gallina, Dag Nyström, Cristina Seceleanu 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017)
DAGGTAX: A Taxonomy of Data Aggregation Processes (Oct 2017) Simin Cai, Barbara Gallina, Dag Nyström, Cristina Seceleanu 7th International Conference on Model and Data Engineering (MEDI 2017)
Can Pairwise Testing Perform Comparably to Manually Handcrafted Testing Carried Out by Industrial Engineers? (Jul 2017) Peter Charbachi, Linus Eklund , Eduard Paul Enoiu International Workshop on Combinatorial Testing and its Applications (CTA'17)
Using Timed Base-Choice Coverage Criterion for Testing Industrial Control Software (Mar 2017) Henning Bergström , Eduard Paul Enoiu 6th International Workshop on Combinatorial Testing (IWCT'17)
Automatic Test Generation for Energy Consumption of Embedded Systems Modeled in EAST-ADL (Mar 2017) Raluca Marinescu, Eduard Paul Enoiu, Cristina Seceleanu, Daniel Sundmark ICST workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS'17)