Journal
PROCEEDINGS OF THE 21TH BRAZILIAN SYMPOSIUM ON SOFTWARE QUALITY, SBOS 2022
Volume -, Issue -, Pages -Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3571473.3571507
Keywords
Context-Aware Software System; CASS; Software Testing
Categories
Funding
- CNPq (Brazilian National Council for Scientific and Technological Development)
- CAPES (Brazilian Coordination for the Improvement of Higher Education Personnel)
- CNPq [305929/2014-3]
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Context-Aware Software Systems (CASS) need to be prepared to handle context and its variations, but currently there is a lack of software technologies to support their testing. CATS# is a testing technique that helps specify test cases for CASS and its initial feasibility was demonstrated in an undergraduate project.
Context-Aware Software Systems (CASS) capture the context and have their behavior affected by it. Therefore, these systems must be prepared to deal with the context and its variation. If they don't, a failure can cause profound damage since they deal closely with the real world. Nevertheless, there is a lack of software technologies to support their testing. Thus, this work presents CATS#, a testing technique to help the specification of test cases for Context-Aware Software Systems (CASS). CATS# was applied in a project by undergraduate students. The results indicate its initial feasibility to support the specification of CASS test cases for situations not covered by conventional testing techniques.
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